AgriSphere

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Product Details

Name

AgriSphere

Tagline

Smart Farming, Smarter Future

Tech-Savvy Farmer

Name: Tech-Savvy Farmer
Description: The Tech-Savvy Farmer embraces technology to enhance farming practices. They are early adopters of precision farming tools and leverage AgriSphere to streamline operations and minimize input costs. With a keen interest in innovation, they’re motivated by the potential to maximize yields through data-driven insights and automation in their day-to-day tasks, interacting frequently with the platform to monitor and adjust farming processes.
Demographics: Age: 35-50, Gender: Male/Female, Education: Bachelor's degree in Agriculture or related fields, Occupation: Farmer/Agri-entrepreneur, Income: $50,000 - $100,000 annually, Location: Suburban/rural areas with access to farming technology.
Background: Growing up in a farming family, the Tech-Savvy Farmer has always been surrounded by agriculture but witnessed the significant challenges inflicted by climate change and market volatility. With a degree in agricultural sciences, they began implementing modern farming techniques and technology to improve sustainability. Hobbies include tinkering with new software and attending agricultural tech fairs to stay updated on industry trends.
Psychographics: Beliefs: Strongly believes in sustainable and high-tech farming; Motivations: Driven by the desire to enhance productivity and reduce waste; Values: Values education and continuous learning, seeks to connect with others similarly interested in agri-tech; Interests: Enjoys participate in agricultural innovation workshops and exploring new technology applications in farming.
Needs: Access to reliable data and analytics for informed decision-making; Tools for automation in irrigation and pest management; Continuous education and training on new technologies; Networking opportunities with fellow innovative farmers.
Pain: Lack of reliable data sources can hinder decision-making; Complexity in integrating various technologies; Time constraints due to multiple farming responsibilities; Financial limitations when investing in new technologies.
Channels: Prefers online forums and social media groups related to agritech; Utilizes agricultural apps and websites for the latest research; Attends agricultural trade shows and local meetups for networking and learning.
Usage: Interacts with AgriSphere daily to analyze real-time data for immediate action; Frequently checks the dashboard for irrigation and pest management insights; Engages with educational content on the platform at least once a week to remain updated on best practices.
Decision: Decision-making is influenced by peer recommendations and case studies from AgriSphere; Prioritizes data accuracy and platform usability; Seeks solutions that demonstrate clear ROI and sustainability benefits.

Sustainable Crop Manager

Name: Sustainable Crop Manager
Description: The Sustainable Crop Manager is dedicated to eco-friendly farming practices and uses AgriSphere to monitor the environmental impact of their operations. They aim to balance profitability with ecological stewardship, employing data analytics to promote sustainable initiatives and educate their farming community on best practices.
Demographics: Age: 30-45, Gender: Male/Female, Education: Master's degree in Sustainable Agriculture or Environmental Science, Occupation: Crop Manager or Consultant, Income: $60,000 - $80,000 annually, Location: Rural areas with a focus on organic farming.
Background: Raised in a community committed to environmental preservation, the Sustainable Crop Manager pursued formal education in sustainable agriculture. They have several years of experience in managing organic farms and collaborate with other farmers to implement environmentally friendly practices. Enjoys gardening and advocating for sustainability.
Psychographics: Beliefs: Strong advocate for regenerative agriculture and biodiversity; Motivations: Aims to leave a positive environmental legacy; Values: Committed to transparency and community education; Interests: Passionate about connecting with other sustainability advocates through workshops and community events.
Needs: Tools to measure and analyze ecological impact; Resources to educate farmers about sustainable practices; Support for implementing sustainable technologies and methods; Access to funding opportunities for green initiatives.
Pain: Difficulty in quantifying and demonstrating the ROI of sustainable practices; Resistance from traditional farming sectors; Limited access to resources that line up with sustainability goals; Challenges in finding like-minded collaborators.
Channels: Follows environmental and agricultural blogs; Engages through online forums dedicated to sustainable farming; Attends local community events and sustainability workshops.
Usage: Utilizes AgriSphere multiple times weekly to track sustainability metrics; Uses platform analytics to create reports for stakeholders evaluating ecological progress; Participates in forums and webinars hosted through AgriSphere.
Decision: Heavily influenced by sustainability reports and peer-reviewed studies; Values user-friendly tools that support sustainable practice assessments; Collaborates with local agricultural extensions for guidance on decision-making.

Innovative Agri-Entrepreneur

Name: Innovative Agri-Entrepreneur
Description: The Innovative Agri-Entrepreneur is a forward-thinking individual who blends agricultural knowledge with business acumen. They use AgriSphere to identify market trends and optimize resource allocation, focusing on maximizing the profitability of their operations while exploring new business opportunities.
Demographics: Age: 28-40, Gender: Male/Female, Education: Bachelor's or Master's degree in Business or Agriculture, Occupation: Entrepreneur/Startup Founder in Agritech, Income: $70,000 - $120,000 annually, Location: Urban or peri-urban areas with farming setups.
Background: After studying business administration with a minor in agricultural science, they ventured into the agricultural sector, seeking to disrupt traditional farming with innovative solutions. They have launched a few successful agri-startups and continuously look for new technologies to enhance their businesses. Passionate about entrepreneurship and attending startup expos.
Psychographics: Beliefs: Holds strong belief in the power of innovation to revolutionize agricultural practices; Motivations: Driven by the desire to create impactful solutions; Values: Values creativity, collaboration, and continuous improvement; Interests: Enjoys networking with fellow entrepreneurs and participating in hackathons for agritech.
Needs: Access to market analytics; Networking opportunities with investors and peers in the agritech space; Reliable data to inform product development; Support in navigating regulations affecting agri-business.
Pain: Navigating bureaucratic hurdles in agricultural regulations; Challenges in scaling operations while maintaining quality; Constant pressure to innovate and stay ahead of competitors; Difficulty in securing funding for expansion.
Channels: Active on business and startup networking platforms like LinkedIn; Participates in agritech meetups and accelerators; Engages with digital marketing channels to reach potential customers.
Usage: Engages with AgriSphere daily to analyze market data and trends; Leverages the platform for insights on resource optimization; Uses features for forecasting and financial planning regularly.
Decision: Influenced by market trends and competitor analysis; Makes decisions based on data analytics provided by AgriSphere; Values recommendations from mentors and industry networks.

Community Education Officer

Name: Community Education Officer
Description: The Community Education Officer focuses on helping local farmers utilize agri-tech tools through AgriSphere. Their role involves providing training and resources to enhance farmers’ understanding of modern agricultural practices while promoting community engagement and collaboration.
Demographics: Age: 35-50, Gender: Male/Female, Education: Bachelor's degree in Education, Agriculture, or Community Development, Occupation: Community Educator or Trainer, Income: $50,000 - $70,000 annually, Location: Rural communities.
Background: With roots in an agricultural community, the Community Education Officer transitioned from teaching to agricultural community engagement after noticing areas for improvement in local farming practices. They have dedicated years to connecting farmers with educational resources and workshops while cultivating a supportive community environment. Enjoys storytelling and fostering connections.
Psychographics: Beliefs: Strong proponent of lifelong education and community development through agriculture; Motivations: Passionate about empowering farmers; Values: Committed to collaboration, transparency, and community impact; Interests: Enjoys organizing workshops and community events for local farmers.
Needs: Access to educational resources tailored for farmers; Tools for conducting workshops and training sessions; Support in fostering community networks; Resources that offer insight into modern farming technologies.
Pain: Difficulty in engaging farmers resistant to adopting new technologies; Limited funding for educational resources; Challenges in measuring the impact of educational initiatives; Time constraints in balancing community outreach with other responsibilities.
Channels: Utilizes community bulletin boards and newsletters to disseminate information; Active in local agricultural fairs and community meetings; Engages with social media platforms aimed at local groups.
Usage: Utilizes AgriSphere for weekly workshops to show farmers how to interpret and use data; Continuously monitors community engagement metrics through the platform; Engages bi-weekly with AgriSphere’s support for educational material updates.
Decision: Strongly influenced by feedback from the community; Values recommendations based on successful case studies; Decisions are also based on collaborative discussions with local farming leaders.

Tech-Integrated Agronomist

Name: Tech-Integrated Agronomist
Description: The Tech-Integrated Agronomist leverages technology to optimize crop production and enhance soil health. They use AgriSphere to gather detailed analytics, which inform their agronomy practices and provide actionable insights to farmers.
Demographics: Age: 30-55, Gender: Male/Female, Education: Master’s or PhD in Agronomy or related sciences, Occupation: Agronomist/Consultant, Income: $60,000 - $100,000 annually, Location: Research institutions or consulting firms within rural agricultural areas.
Background: Having grown up in a rural agricultural community, the Tech-Integrated Agronomist pursued advanced education to better understand the scientific aspects of agriculture. With years of experience in the field, they focus on integrating advanced technologies with traditional agronomic practices to achieve optimal cropping solutions. Regularly engages in research and loves mentoring upcoming agronomists.
Psychographics: Beliefs: Strong belief in the value of marrying technology with agronomy for sustainable practices; Motivations: Committed to enhancing crop performance and soil health; Values: Emphasizes the importance of evidence-based practices; Interests: Engaged in research initiatives and enjoys teaching workshops.
Needs: Access to extensive data analysis tools; Continuous training on new technologies and agronomic practices; Networking opportunities with researchers and agronomists; Resources for communicating findings and insights effectively to farmers.
Pain: Challenging to get farmers on board with scientific recommendations; Limited access to up-to-date research data; Pressure to produce measurable results in short time frames; Balancing fieldwork with administrative tasks.
Channels: Engages with research journals and publications; Active on industry conferences and symposiums; Regularly uses professional social networks to connect with peers.
Usage: Utilizes AgriSphere daily to analyze crop health data and soil conditions; Regularly interacts with the platform to offer recommendations to farmers; Participates in discussions and forums to share insights from their findings on the platform.
Decision: Decision-making is heavily influenced by scientific research and current agricultural trends; Seeks empirical data to back recommendations; Values collaboration with farmers based on trust and transparency.

Product Ideas

AgriSphere Marketplace: A digital marketplace within AgriSphere that connects farmers with suppliers and buyers, enabling them to trade produce, equipment, and services. This platform will facilitate direct selling and enhance the local agricultural economy, providing real-time data on market trends and pricing.
Smart Irrigation Advisor: An advanced feature offering personalized irrigation plans based on real-time weather data, soil moisture levels, and crop requirements. This tool will help farmers optimize water usage, resulting in cost savings and improved yield through more efficient resource management.
Sustainable Farming Coach: A built-in coaching interface that provides personalized recommendations for sustainable farming practices. Leveraging data analysis, it will suggest crop rotations, pest management solutions, and eco-friendly fertilization techniques to promote environmental stewardship among users.
Agri-Community Hub: A collaborative space within AgriSphere where farmers can share experiences, best practices, and seek advice from peers and experts. This hub will foster community engagement and support among agricultural professionals, driving collective innovation and networking.
Precision Farming Training Modules: Comprehensive training modules designed to educate users on precision farming techniques, data interpretation, and technology utilization. This initiative will empower users to maximize the potential of AgriSphere while enhancing their skills and understanding of modern agriculture.
Integrated Pest Management System: An intelligent pest management system that analyzes data from multiple sources to predict pest outbreaks and suggest preventative measures. By integrating IoT and AI technologies, this system will allow farmers to take proactive steps in ensuring crop health.
AgriSphere API for Third-Party Tools: A robust API that allows integration of third-party agricultural tools and services with AgriSphere, enabling users to customize their experience and streamline operations by connecting the platform to existing solutions, such as farm management systems and analytics tools.

Product Features

Trade Hub

A centralized platform feature that allows farmers, suppliers, and buyers to seamlessly post and browse listings for agricultural goods and services. By enabling direct transactions, the Trade Hub fosters efficient trade relationships, supports local economies, and enhances market reach for all participants.

Requirements

User Authentication

User Story: As a farmer, I want to securely create an account and log in so that I can access the Trade Hub and manage my listings without worrying about my data being compromised.
Description: The User Authentication requirement ensures that all users of the Trade Hub can create accounts and securely log in to the platform. This feature will provide role-based access control, allowing different levels of permissions for farmers, suppliers, and buyers to manage their listings and transactions. By implementing robust security measures such as password encryption and two-factor authentication, this functionality is instrumental in protecting user data and fostering trust within the platform. It directly impacts user experience and engagement by ensuring that all trading activities occur in a safe environment, thereby encouraging more participants to use the Trade Hub.
Acceptance Criteria: User Account Creation for the Trade Hub

Given a new user on the Trade Hub, when they provide a valid email address and strong password, then the account should be successfully created and a confirmation email should be sent.

User Login with Valid Credentials

Given a registered user with valid credentials, when they enter their email and password on the login page, then they should be redirected to their user dashboard without errors.

Role-Based Access Control Verification

Given a user logged into the Trade Hub, when they access features based on their role (farmer, supplier, buyer), then they should be granted or denied access according to their assigned permissions.

Password Encryption Validation

Given a user who has registered on the Trade Hub, when their password is created, then it should be encrypted using a secure hashing algorithm before being stored in the database.

Two-Factor Authentication Setup

Given a user who has logged in for the first time, when they enable two-factor authentication, then they should receive a verification code via their chosen method (SMS or email) to complete the setup.

Forgot Password Functionality

Given a registered user who has forgotten their password, when they request a password reset, then they should receive a secure link via email to reset their password.

User Session Timeout

Given a user who is logged into the Trade Hub, when they have been inactive for a specified duration (e.g., 30 minutes), then their session should time out, requiring them to log in again to access their account.

Listing Creation and Management

User Story: As a supplier, I want to create and manage my product listings on the Trade Hub so that I can effectively showcase my goods to potential buyers and increase my sales.
Description: The Listing Creation and Management requirement allows users to easily create, edit, and delete their listings for agricultural goods and services. This functionality will include features for adding images, descriptions, prices, and quantity available. Users should also have the capability to categorize their listings, making it easier for buyers to search and find relevant products. This feature is critical for user engagement as it directly affects how well users can promote their offerings on the Trade Hub, enabling a vibrant marketplace that benefits all participants and enhances overall trading efficiency.
Acceptance Criteria: User navigates to the Trade Hub and initiates the process to create a new listing for a batch of organic tomatoes.

Given the user has logged into the Trade Hub, when they click on 'Create New Listing', then they should be presented with a form to input details including product name, description, price, quantity, and upload up to 5 images.

A farmer edits an existing listing for agricultural machinery to add new images and update the price.

Given the user selects an existing listing from their dashboard, when they click on 'Edit Listing', then they should be able to modify the details and save the changes without losing any previously entered data.

Supplier wants to delete a listing for a seasonal crop that is no longer available.

Given the user is viewing their listings on the Trade Hub, when they select a listing and click 'Delete', then a confirmation prompt should appear, and upon confirming, the listing should be removed from their dashboard and the marketplace.

User categorizes their new listing under 'Vegetables', enhancing visibility for buyers searching in that category.

Given the user is creating a new listing, when they select a category from a dropdown menu, then the listing should be correctly categorized and searchable by that category within the Trade Hub.

A buyer searches for 'organic apples' in the Trade Hub to find available listings.

Given the buyer enters 'organic apples' in the search bar, when they press enter, then the results should display all relevant listings with accurate details, including seller information and pricing.

User attempts to submit a listing without entering a required field, such as price.

Given the user has filled out the listing form but left the price field blank, when they click 'Submit', an error message should appear indicating that all required fields must be completed before submission.

Search and Filter Functionality

User Story: As a buyer, I want to search and filter listings based on my preferences so that I can easily find and purchase the agricultural goods I need without wasting time.
Description: The Search and Filter Functionality requirement enables users to quickly find specific listings by searching for keywords and applying filters based on categories, price range, location, and more. This feature enhances the user experience by allowing buyers to discover offerings that meet their specific needs without having to sift through irrelevant listings. The implementation of this functionality is essential for maximizing market reach and ensuring that users can efficiently navigate the Trade Hub to find the best deals for their agricultural needs, ultimately promoting increased transaction volume within the platform.
Acceptance Criteria: User searches for a specific product using the keyword feature in the Trade Hub.

Given the user is on the Trade Hub search page, When the user enters a keyword in the search bar and clicks search, Then the results displayed should only include listings that match the keyword.

User applies multiple filters to refine search results in the Trade Hub.

Given the user is viewing the Trade Hub listings, When the user applies filters for categories, price range, and location, Then the results displayed should only include listings that meet all selected filter criteria.

User attempts to search for a product with no results found.

Given the user is on the Trade Hub search page, When the user enters a keyword that does not match any listings and clicks search, Then the user should see a message indicating that no results were found, along with suggestions to broaden the search.

User sorts search results by price in ascending order.

Given the user has performed a search in the Trade Hub, When the user selects the option to sort the results by price in ascending order, Then the listings displayed should be reordered to show the lowest prices first.

User wants to clear all filters applied to the search results.

Given the user has applied filters to the search results in the Trade Hub, When the user clicks the 'Clear Filters' button, Then all filters should be reset and the user should see the unfiltered list of listings.

User saves a particular search for future reference.

Given the user has conducted a search with specific keywords and filters applied, When the user clicks the 'Save Search' option, Then the search should be saved successfully and be retrievable from the user's profile under 'Saved Searches.'

Transaction Management System

User Story: As a buyer, I want to easily view my transaction history and get updates about my purchases so that I can keep track of my spending and stay informed about delivery schedules.
Description: The Transaction Management System requirement establishes the processes for handling payments, order confirmations, and transaction histories between buyers and sellers on the Trade Hub. It should incorporate secure payment gateways to facilitate seamless transactions and provide real-time updates on transaction status, including confirmation and delivery updates. This feature is vital for building trust and reliability within the platform, as it ensures that all financial exchanges are handled securely and transparently, leading to improved satisfaction and repeat usage among users.
Acceptance Criteria: Successful Payment Processing by Buyers on the Trade Hub

Given a registered buyer initiates a purchase, when they enter valid payment details and confirm the transaction, then the payment should be processed securely without errors, and the buyer must receive an immediate transaction confirmation with order details.

Order Confirmation Notification for Sellers

Given a registered seller receives a new order, when the order is placed successfully, then the seller should receive a notification with comprehensive order details and a confirmation of the transaction.

Transaction History Access for Users

Given a user is logged into their account on the Trade Hub, when they navigate to the transaction history section, then they should see a complete and accurate list of their past transactions, including order status, payment status, and dates.

Secure Payment Gateway Integration

Given the transaction management system is operational, when a buyer makes a purchase, then the payment should be processed through a secure payment gateway ensuring encryption of sensitive data during the transaction.

Real-time Transaction Status Updates

Given a transaction is in progress, when the transaction status changes (e.g., from processing to complete), then both the buyer and seller should receive instant updates via the platform and email notifications reflecting the new status.

Refund Process for Unsatisfied Buyers

Given a buyer requests a refund for their purchase, when the request is initiated within the specified timeframe, then the system should initiate the refund process, and the buyer must be notified of the refund confirmation within 24 hours.

User Authentication and Security for Transactions

Given a user attempts to conduct a transaction, when they are not logged in, then they should be prompted to log in or register before proceeding to ensure secure handling of sensitive transaction information.

Rating and Review System

User Story: As a supplier, I want to receive ratings and reviews from my buyers so that I can improve my offerings and attract more customers based on positive feedback.
Description: The Rating and Review System requirement allows users to provide feedback on their experiences with buyers and sellers, facilitating a community-driven evaluation of goods and services rendered on the Trade Hub. This feature will enable users to rate transactions and leave comments, which are visible to other users. The implementation of this requirement is crucial for fostering transparency and accountability, as well as encouraging high standards among providers. By helping users make informed decisions based on past experiences, this feature ultimately enhances trust in the marketplace.
Acceptance Criteria: User Rating Submission

Given a user is logged into their account, when they select a completed transaction and submit a rating of 1 to 5 stars and an optional comment, then the rating and comment should be stored and display on the user profile and the seller's rating overview within one minute.

Review Visibility to Other Users

Given a user has submitted a review, when another user views the seller's profile, then the submitted review and rating should be visible along with the overall rating average, reflecting the latest 10 reviews.

Rating Update Functionality

Given a user has already submitted a rating and wishes to change it, when they select the 'edit review' option and submit a new rating and comment, then the new rating and comment should replace the existing ones and be reflected in real-time on the seller's profile.

Dispute Mechanism for Reviews

Given a user sees a review that they believe is fraudulent or inappropriate, when they select the 'report review' option, then the review should be flagged for moderation and the user should receive confirmation that their report has been submitted.

Incentives for Leaving Reviews

Given a user has left a review, when the review is submitted, then the user should receive an in-app notification confirming their participation and outlining any potential rewards, such as discounts on future transactions, within 24 hours.

Rating and Review Analytics for Users

Given a user has engaged in multiple transactions, when they navigate to their account dashboard, then they should see analytics summarizing their total number of ratings given, average rating score, and a breakdown of positive and negative reviews over the last year.

Notification System

User Story: As a supplier, I want to receive notifications about messages and transaction updates so that I can promptly respond to inquiries and manage my listings effectively.
Description: The Notification System requirement will provide users with alerts and updates regarding their interactions on the Trade Hub. This includes notifications for new messages, transactions, changes to their listings, and relevant market trends. By keeping users informed in real time, this feature enhances user engagement and ensures they do not miss critical updates regarding their trades. An effective notification system is essential for maintaining active participation and encouraging timely responses, contributing to the overall effectiveness and efficiency of the Trade Hub.
Acceptance Criteria: User receives a notification when a new message is received in the Trade Hub.

Given the user is logged in to the Trade Hub, when a new message is sent to the user, then the user should receive a push notification with the sender's name and message preview within 5 seconds.

User is alerted when their listing undergoes any changes.

Given the user has a live listing on the Trade Hub, when changes are made to the listing (such as price or availability), then the user should receive an email notification detailing the changes within 10 minutes.

User receives transaction status updates in real time.

Given the user has initiated a transaction in the Trade Hub, when the transaction's status changes (e.g., confirmed, shipped, completed), then the user should receive a notification reflecting the new status immediately.

Market trends notifications are sent to users based on their interests in the Trade Hub.

Given the user has set preferences for the types of agricultural goods they are interested in, when relevant market trends are identified, then the user should receive a summary notification that includes insights on those trends weekly.

User gets notified of promotional trades and discounts offered in the Trade Hub.

Given the user is logged in to the Trade Hub, when there are new promotions or discounts available for their selected categories, then the user should receive a notification immediately upon listing the promotions.

User receives a summary of daily activities and notifications at the end of the day.

Given the user has engaged with the Trade Hub throughout the day, when the end of the day is reached, then the user should receive a summary notification aggregating all messages, transaction statuses, and important alerts received that day.

User can customize the types of notifications they wish to receive in the Trade Hub.

Given the user accesses the notification settings in their profile, when the user selects or deselects notification types for messages, listings, and market trends, then the system should save these settings, and the user should receive only the notifications they opted in for.

Real-Time Pricing Insights

This feature provides users with dynamic updates on market pricing for various agricultural products. By analyzing market trends and historical data, farmers can make informed decisions about when to buy or sell their produce, maximizing profitability and minimizing losses.

Requirements

Dynamic Market Monitoring

User Story: As a farmer, I want to receive real-time updates on market pricing for my crops so that I can make informed decisions about when to sell and optimize my profits.
Description: This requirement involves developing a system that continuously monitors live market data for various agricultural products. By integrating APIs from market sources, the platform will deliver real-time pricing updates directly to users. The functionality will include price alerts, historical trend analysis, and the ability to filter products by categories. This feature enhances the user's capability to react promptly to market shifts, ensuring they can make timely decisions that could maximize profits while minimizing financial risk.
Acceptance Criteria: User receives a price alert for corn when the market price falls below a specified threshold, allowing them to decide whether to purchase before prices rise again.

Given the user has set a price alert for corn at $5.00, when the market price drops to $4.50, then the user receives a notification alerting them of the price change.

A farmer analyzes the historical pricing trends for soybeans over the past year to determine the best time to sell their produce.

Given the user selects soybeans from the product category, when they access the historical trend analysis, then the system displays a graph of soybean prices over the past year with key data points marked.

The user filters the product listing to view only fruits, enabling them to quickly identify price changes specific to this category.

Given the user applies the 'fruits' filter on the product listing, when the filter is activated, then the display updates to show only fruits with their corresponding real-time prices.

A farmer receives a dynamic pricing update on wheat while logged into the platform, assisting them in real-time decision-making.

Given the user is logged into the platform, when there is a change in the market price of wheat, then the user sees the updated price on their dashboard within 5 seconds of the change.

Users access real-time pricing updates through a mobile application while on the go to make immediate buying or selling decisions.

Given the user accesses their mobile app, when they navigate to the real-time pricing update section, then they can see the latest market prices for their selected products without delay.

Historical Price Analysis

User Story: As an agricultural business owner, I want to analyze historical pricing data so that I can predict future price trends and plan my sales strategy effectively.
Description: This requirement focuses on implementing a module that allows users to analyze historical price trends for various agricultural products. By providing tools for visualizing past performance data through graphs and charts, farmers can understand price fluctuations and make better forecasting decisions. This feature will be integral in helping users identify suitable selling times based on comprehensive historical data, thus aiding in better financial planning.
Acceptance Criteria: User analyzes historical price trends to determine the best time to sell corn and access visualizations of past price fluctuations.

Given that the user has selected corn as the product, When they access the historical price analysis module, Then they should be presented with a graph displaying at least the last five years of price data for corn.

User uses the historical price analysis tool to compare prices of multiple products over the same time period.

Given that the user has selected multiple agricultural products, When they navigate to the comparison feature, Then they should see a side-by-side graph that displays historical prices for each selected product for the same time period.

User wants to export historical price data for use in financial planning.

Given that the user is viewing historical price data, When they click the export button, Then they should be able to download the data in CSV format successfully without any loss of accuracy in the data.

User seeks to identify trends and patterns in pricing to forecast future sales.

Given that the user has accessed the price analysis module, When they apply filters for specific date ranges, Then the system should display the average price trends and highlight any noticeable spikes or drops within that range.

User reviews tutorial content in the historical price analysis section to understand how to use the features effectively.

Given that the user is in the historical price analysis module, When they access the tutorial, Then they should be able to view a step-by-step guide that effectively explains how to interpret the price graphs and charts.

User interacts with historical pricing data and uses tooltips for additional clarity on price changes.

Given that the user hovers over any point on the price graph, When they see a tooltip, Then the tooltip should display the precise date, price, and percentage change from the previous period.

Customized Pricing Alerts

User Story: As a farmer, I want to set personalized price alerts for my products so that I can be immediately notified of market shifts and react quickly to optimize my selling strategy.
Description: This requirement entails creating a customizable alert system that notifies users about significant price changes for selected agricultural products. Users should be able to set thresholds for notifications via SMS, email, or in-app alerts. This feature ensures that farmers are alerted to critical market changes allowing them to react promptly, capitalize on favorable conditions, or mitigate losses during unfavorable pricing scenarios.
Acceptance Criteria: User sets up a pricing alert for wheat on the AgriSphere platform.

Given the user logs into the AgriSphere platform, When they select wheat from the product list, Then they can enter a price threshold and select a notification method (SMS, email, or in-app), and save the alert successfully.

User receives a notification when the price of corn exceeds the defined threshold.

Given the user has set a price alert for corn at $5 per bushel, When the market price of corn reaches $5.10, Then the user receives an SMS notification about the price change.

User modifies an existing pricing alert for soybeans.

Given the user has an existing alert for soybeans set at $10 per bushel, When they change the threshold to $9 per bushel and save the change, Then the application updates the alert and confirms the modification via in-app message.

User deletes a pricing alert for rice.

Given the user wants to delete an alert for rice, When they access their alerts list and select the rice alert, Then the system permanently removes the alert and confirms deletion with a success message.

User experiences a system failure while trying to set a new pricing alert.

Given the user attempts to set a new pricing alert while the application is down, When the user submits the alert, Then they are notified of the system failure and their alert is not saved.

User checks the history of received pricing alerts.

Given the user navigates to the alert history section, When they view their received alerts, Then the list displays all past alerts with timestamps and price notifications accurately.

User receives an alert for a sudden price drop in vegetables.

Given the user has an alert set for bell peppers at $3 per pound, When the market price drops to $2.50 per pound, Then the user receives an email notification detailing the price drop.

Market Analysis Dashboard

User Story: As a user, I want to access a market analysis dashboard so that I can visualize market trends and make evidence-based decisions for my agricultural business.
Description: This requirement focuses on developing an integrated dashboard that presents comprehensive market analysis tools and data visualizations. The dashboard will include features such as comparative pricing, market trends, and supply-demand insights, providing farmers with an overall market landscape. This will enhance their ability to assess the viability of their products and strategize their sales approach accordingly.
Acceptance Criteria: User accesses the Market Analysis Dashboard to view real-time market pricing and trends for their products.

Given the user is logged into AgriSphere, when they navigate to the Market Analysis Dashboard, then they should see updated market pricing information for at least 10 different agricultural products displayed on the dashboard.

User utilizes the comparative pricing feature on the dashboard to assess their pricing strategy against market trends.

Given the user selects a specific agricultural product, when they view the comparative pricing section, then they should see the user's current price, the average market price, and the highest and lowest prices over the past month.

User receives alerts for significant market changes or trends through the Market Analysis Dashboard.

Given the user has set their preferences for market alerts, when there is a change in market pricing by more than 10% for any selected product, then the user should receive a notification via the dashboard alert system.

User analyzes supply and demand data to make informed selling or buying decisions.

Given the user is viewing the supply-demand insights section of the dashboard, when they select a specific product, then they should see a clear visual representation of supply vs. demand metrics over the past six months.

User generates a report based on the market analysis data displayed on the dashboard.

Given the user is on the Market Analysis Dashboard, when they click on the 'Generate Report' button, then a downloadable PDF report should be generated that includes all displayed market trends, pricing analysis, and supply-demand insights.

User customizes the Market Analysis Dashboard to better suit their specific agricultural products.

Given the user wants to customize the dashboard, when they access the dashboard settings, then they should be able to add or remove products and save their preferences successfully, without any error messages.

User shares insights from the Market Analysis Dashboard with their agricultural team.

Given the user has gathered significant market insights, when they use the 'Share Insights' feature, then all selected market analysis data should be successfully sent to their team members via email, with a confirmation message displayed to the user.

Mobile Accessibility for Pricing Insights

User Story: As a farmer often on the go, I want to access market pricing insights from my mobile device so that I can stay informed and make quick decisions while working in the field.
Description: This requirement highlights the need for a responsive design that allows users to access pricing insights and alerts via mobile devices. Ensuring the platform is mobile-friendly guarantees that farmers, who may be in the field, can check real-time pricing updates, receive alerts, and make decisions without needing a desktop computer. This accessibility is crucial for timely decision-making in dynamic markets.
Acceptance Criteria: Farmer accessing pricing insights while in the field via a mobile device.

Given the farmer is logged into the AgriSphere mobile application, When they navigate to the pricing insights section, Then they should see real-time pricing data updated at least every 5 minutes for selected crops.

Farmer receiving alerts on pricing changes while working outdoors.

Given the farmer has enabled push notifications in the AgriSphere mobile application, When the market price for a selected crop changes by more than 10%, Then the farmer should receive an immediate push notification on their mobile device.

Farmer comparing current prices with historical trends through the mobile app.

Given the farmer is on the pricing insights page, When they select a crop and access the historical price trends feature, Then they should see a graph displaying at least the last 6 months of pricing data for that crop.

Farmer accessing mobile pricing insights with stable internet connection.

Given the farmer is in an area with stable internet connectivity, When they refresh the pricing insights page, Then the application should load new pricing insights within 2 seconds.

Farmer using mobile pricing insights during a market transaction.

Given the farmer is on the pricing insights page during a transaction, When they tap on a price point, Then they should see a detailed view including latest price, historical data, and trend analysis for that product.

Farmer accessing the pricing insights feature without technical issues.

Given the farmer is using various supported mobile devices, When they navigate through the pricing insights section, Then the application should be responsive and free from errors or crashes for all device types and screen sizes.

Farmer searching for specific crop pricing using the mobile app.

Given the farmer is on the pricing insights page, When they enter a specific crop name into the search bar, Then they should receive relevant current pricing information for that crop within 3 seconds.

Supplier Ratings and Reviews

Empower users with transparent feedback mechanisms, allowing them to rate and review suppliers based on their experiences. This builds trust within the marketplace, helping users make informed choices when selecting suppliers for equipment, seeds, or services.

Requirements

Supplier Search Filter

User Story: As a farmer, I want to filter suppliers by ratings and location so that I can find the most reliable and accessible suppliers for my farming needs.
Description: The Supplier Search Filter feature enables users to refine their search results by various criteria such as ratings, location, and product offerings, allowing them to quickly find the most suitable suppliers. By implementing this functionality, users can better navigate the marketplace, ensuring they can locate suppliers that meet their specific needs without sifting through irrelevant options. This feature not only enhances user experience but also increases engagement on the platform, fostering a more efficient decision-making process for users looking to optimize their supplier choices.
Acceptance Criteria: User refines supplier search results using various filters to find a suitable supplier for seeds.

Given a user on the Supplier Search Filter page, When the user selects '4 stars and above' in ratings, and 'Local' in location, and clicks 'Apply Filters', Then only suppliers matching these criteria are displayed in the results.

User searches for suppliers by location to find nearby suppliers for immediate needs.

Given a user enters 'California' in the location search field, When the user clicks 'Search', Then the results include only suppliers located in California.

User wants to find suppliers who offer a specific product while also considering their ratings.

Given a user types 'fertilizer' in the product search box and selects '4 stars and above' in ratings, When the user clicks 'Search', Then the results include only suppliers that sell fertilizer with a rating of 4 stars or higher.

User seeks to identify all available suppliers that can provide a specific service while filtering by location.

Given a user selects 'Irrigation Services' from the service dropdown and enters 'Texas' as the location, When the user clicks 'Apply Filters', Then the results show only suppliers offering irrigation services located in Texas.

User wishes to quickly find top-rated suppliers across different product categories.

Given the user accesses the Supplier Search Filter, When the user checks 'Show All Categories' and selects '5 stars' in ratings, Then all suppliers rated 5 stars in any category must be displayed in the results.

User utilizes the search filter and expects a responsive interface experience.

Given the user applies multiple filters simultaneously, When the filters are submitted, Then the search results should update within 3 seconds without any error message or loading delay.

Automated Notification System

User Story: As a user, I want to receive notifications about new supplier reviews and changes in ratings so that I can stay up-to-date with supplier performance.
Description: The Automated Notification System will send users alerts and reminders regarding supplier feedback updates, new reviews, and changes in ratings. This functionality keeps users informed about supplier performance and helps them make timely decisions based on the most recent information available. By integrating this system, users can stay engaged with the supplier marketplace and better manage their operations through informed choices. The notifications can be customizable to match user preferences, thus enhancing the overall user satisfaction with the platform.
Acceptance Criteria: User receives a notification when a supplier they have rated receives a new review.

Given a user has rated a supplier, When a new review is posted for that supplier, Then the user should receive a notification via their preferred method (email/sms/app) within 5 minutes of the review being submitted.

User can customize their notification preferences for supplier reviews.

Given a user accesses their notification settings, When they modify their preferences for supplier reviews, Then the system should save their preferences and apply them for future notifications without errors.

User receives a notification when the rating of a supplier changes.

Given a user is following a supplier, When the supplier's rating is updated due to new reviews, Then the user should receive a notification immediately after the rating change is made.

System sends reminders to users who have not reviewed their suppliers.

Given a user has not submitted a review for a supplier they have purchased from in the last 30 days, When the specified reminder schedule is triggered, Then the user should receive a reminder notification encouraging them to submit their review.

User can view a log of recent notifications related to suppliers.

Given a user accesses the notifications section of their dashboard, When they view recent notifications, Then they should see a list of all notifications related to supplier feedback, including timestamps for each notification.

System default notification settings are in place upon user registration.

Given a new user registers on the AgriSphere platform, When their account is created, Then the system should assign default notification settings that can be modified by the user at any time.

Supplier Reporting Feature

User Story: As a user, I want to report inappropriate reviews so that I can help maintain a trustworthy environment in the supplier marketplace.
Description: The Supplier Reporting Feature allows users to report inappropriate content or comments related to suppliers. This feature fosters a safe and trustworthy marketplace by ensuring that feedback is relevant and constructive. In cases of false information or harassment, users can take action to maintain the integrity of reviews. This capability not only improves the quality of interaction on the platform but also aligns with community guidelines, promoting user accountability and transparency.
Acceptance Criteria: User attempts to report inappropriate comments on a supplier's profile after reading a review that contains false information.

Given a user is logged into the AgriSphere platform, When the user clicks on the 'Report' button next to a review, Then a form for reporting the review is displayed with fields for the type of report, detailed description, and a submit button.

User submits a report for inappropriate content to ensure the content moderation process functions correctly.

Given a user has filled out the reporting form with valid information, When the user clicks the 'Submit' button, Then a confirmation message is displayed indicating that the report has been submitted successfully, and the report is logged in the system for moderation review.

Admin reviews the reports submitted by users to determine necessary actions based on user feedback.

Given an admin user accesses the moderation dashboard, When they view the list of submitted reports, Then they can see the details of each report including user comments, the date submitted, and the status of the report (pending, resolved, or rejected).

User receives feedback on the status of their report after submission to ensure transparency in the reporting process.

Given a user who has submitted a report, When the report status is updated by the admin, Then the user receives a notification with the outcome (resolved or rejected) of their report.

Users interact with the marketplace reports to evaluate the integrity of supplier reviews.

Given a user is reading supplier reviews, When there are reported reviews in the system, Then the user can see a label indicating the review has been reported, along with a message if it’s under moderation and not visible to the public yet.

A user attempts to report a review but submits an empty report form.

Given a user clicks 'Report' and lands on the reporting form, When the user tries to submit the form without providing any information, Then an error message is displayed, indicating that all fields are required before submission.

Review Moderation Mechanism

User Story: As a user, I want to see only verified and relevant reviews on supplier profiles so that I can make informed decisions based on trustworthy feedback.
Description: The Review Moderation Mechanism implements a process for vetting submitted reviews to prevent spam, irrelevant, or abusive content from appearing on supplier profiles. This mechanism ensures that all feedback is meaningful, credible, and contributes positively to the decision-making of other users. By creating a structured review process, the platform can enhance the overall trust in supplier ratings while simplifying user experience in navigating and evaluating supplier options effectively.
Acceptance Criteria: User submits a new review for a supplier after purchasing equipment and wants their experience to be visible to others.

Given a user is logged into their account, when they submit a review that meets the criteria for length (minimum 50 characters) and relevance, then the review should be queued for moderation.

An administrator reviews flagged reports of abusive content submitted by users.

Given an admin accesses the moderation dashboard, when they view reviews that have been flagged by users, then they can mark reviews as 'approved', 'rejected', or 'needs revision' with a reason for the action taken.

A user tries to submit a review containing inappropriate language and irrelevant content.

Given a user inputs a review with inappropriate language, when the review is submitted, then the system should reject the review and display an error message indicating the violation of content standards.

A user reads supplier reviews and wants to see a summary of the moderation status.

Given a supplier has multiple reviews, when a user views the supplier's profile, then the summary should indicate the number of approved, rejected, and pending reviews to provide transparency in ratings.

A user updates their review after receiving customer service from the supplier.

Given a user wants to update their existing review, when they submit an updated review that includes a rationale for the change, then the system should allow them to update it and notify the admin for re-moderation.

A new supplier adds their profile and wants to ensure they understand how reviews will be moderated.

Given a new supplier is setting up their account, when they review the guidelines for moderation provided on the onboarding page, then they should clearly understand what content is acceptable and how reviews are processed.

An admin wants to generate a report on the most common types of rejected reviews.

Given an admin is logged into the system, when they access the moderation analytics section, then they should be able to generate a report detailing the reasons for review rejections for improving the moderation process.

Supplier Comparison Tool

User Story: As an agricultural business owner, I want to compare different suppliers side-by-side so that I can easily identify the best options based on my needs.
Description: The Supplier Comparison Tool enables users to compare multiple suppliers side-by-side based on various metrics such as rating, price, and product quality. This feature facilitates a clear analysis, helping users make informed decisions quickly. With the comparison tool, users can evaluate strengths and weaknesses among suppliers before committing to a choice, streamlining the selection process. This tool enhances the decision-making capabilities of users, ultimately driving better outcomes for their agricultural operations.
Acceptance Criteria: User compares suppliers to choose the best option for purchasing seeds.

Given the user is on the Supplier Comparison Tool page, when the user selects at least two suppliers to compare, then the system displays a side-by-side comparison showing ratings, prices, and product quality metrics for each selected supplier.

User accesses detailed reviews for suppliers in the comparison tool.

Given the user has selected suppliers to compare, when the user clicks on a supplier's rating, then the system displays a pop-up with detailed reviews and feedback from other users about the selected supplier.

User filters suppliers based on specific metrics such as price and rating.

Given the user is on the Supplier Comparison Tool page, when the user applies filters for price range and minimum rating, then the system reruns the supplier comparison showing only the suppliers that meet the applied criteria.

User saves supplier comparisons for future reference.

Given the user has completed a supplier comparison, when the user clicks the 'Save Comparison' button, then the system saves the comparison details in the user's account under 'Saved Comparisons.'

User shares supplier comparison results with team members.

Given the user has a supplier comparison displayed, when the user selects the 'Share Comparison' option and enters team member emails, then the system sends an email with the comparison details to the specified team members.

User updates supplier ratings based on new experiences.

Given the user is on the Supplier Rating page, when the user submits a new rating for a supplier, then the system updates the supplier's overall rating and reflects this change in the Supplier Comparison Tool.

Supplier Feedback Analytics Dashboard

User Story: As a supplier, I want to see analytics related to my ratings and reviews so that I can understand customer feedback and improve my services.
Description: The Supplier Feedback Analytics Dashboard provides users with visual insights into supplier performance over time, displaying trends in ratings and reviews. By implementing this feature, users can easily track supplier reliability and quality metrics, equipping them with data to make better decisions. This dashboard enhances data-driven decision-making and offers a transparent look at supplier performance, further building trust in the marketplace. Analytics will also help suppliers improve their services based on user feedback trends.
Acceptance Criteria: User accessing the Supplier Feedback Analytics Dashboard to view performance trends for a specific supplier over the last six months.

Given the user is on the Supplier Feedback Analytics Dashboard, when they select a specific supplier and choose the date range of the last six months, then the dashboard displays a graphical representation of the supplier's average ratings and review counts over that time period.

User analyzing the trend in supplier ratings after implementing suggestions from user feedback.

Given the user is viewing the supplier's performance trends on the dashboard, when they compare the ratings before and after implementing changes based on user feedback, then the dashboard highlights any improvements or declines in ratings using distinct color coding.

Supplier accessing the analytics dashboard to view their own performance metrics based on user ratings and reviews.

Given the supplier is logged into their account, when they navigate to the Supplier Feedback Analytics Dashboard, then they can view their average ratings, total reviews, and trends over time segmented by category.

User exporting supplier ratings and review data for reporting purposes.

Given the user is on the Supplier Feedback Analytics Dashboard, when they click on the export button, then a downloadable CSV file is generated containing the supplier's ratings and reviews data for the selected time range.

User filtering supplier ratings based on review criteria (e.g., timeliness, quality of service).

Given the user is on the Supplier Feedback Analytics Dashboard, when they apply filters to display only ratings that include the 'quality of service' criterion, then the dashboard updates to show only those filtered results in a clear and distinct format.

User receiving notifications for significant changes in supplier ratings.

Given the user has set up alerts in their account settings, when there is a significant increase or decrease (defined as more than 20%) in a supplier's average rating over a week, then the user receives an email notification detailing the change.

User viewing customer comments in addition to numerical ratings on the dashboard.

Given the user is on the Supplier Feedback Analytics Dashboard, when they hover over a specific rating on the graphical representation, then a tooltip appears showing the associated customer comments and context for that rating.

Smart Matchmaking

Utilizing AI algorithms, this feature matches users with potential buyers or suppliers based on their specific needs and inventory. By streamlining the discovery process, Smart Matchmaking enhances user engagement and accelerates transactions within the marketplace.

Requirements

User Profile Customization

User Story: As a farmer, I want to customize my user profile so that I can receive better-matched buyer and supplier recommendations based on my specific needs.
Description: This requirement allows users to create and customize their profiles to reflect their specific agricultural business needs and preferences. Users can input details such as types of crops grown, farming practices, and service requirements. By tailoring their profiles, users will enable the Smart Matchmaking feature to make more accurate and relevant connections with potential buyers and suppliers, ultimately leading to increased efficiency and better transaction outcomes. This customization not only enhances user experience but also increases engagement within the platform by ensuring users find valuable matches that align with their unique circumstances.
Acceptance Criteria: User Customizes Profile After Logging In

Given the user is logged into their AgriSphere account, when they access the profile customization page, then they should be able to enter and save details about their crops, farming practices, and service requirements without any errors.

System Validates Input Fields on Profile Customization

Given the user is inputting information on the profile customization page, when they attempt to save their profile with invalid data (e.g., exceeding character limits, unsupported characters), then the system should display appropriate error messages for each field requiring correction.

User Profile Matches with Industry Contacts

Given the user has completed their profile, when they use the Smart Matchmaking feature, then they should receive a list of potential buyers and suppliers that closely align with their farming practices and available inventory, verified through AI algorithms.

User Edits and Updates Existing Profile Information

Given the user has an existing profile, when they navigate to the profile customization page, then they should be able to successfully edit any previously inputted information and save the changes without losing any data.

Accessibility Compliance of Profile Customization

Given the user accesses the profile customization page, when they use assistive technologies to navigate, then all elements should be fully accessible, including input fields and error messages, ensuring compliance with WCAG 2.1 standards.

Profile Customization Affects Smart Matchmaking Recommendations

Given the user has customized their profile, when they use the Smart Matchmaking feature, then the system should reflect updated recommendations based on the new information provided in the profile, demonstrating a direct impact from the customization.

User Receives Confirmation After Profile Update

Given the user has successfully updated their profile information, when they save their changes, then they should receive a confirmation message indicating that their profile has been updated successfully.

Automated Match Notifications

User Story: As a supplier, I want to receive automated notifications when potential buyers that fit my offerings are matched so that I can reach out to them immediately and increase my sales.
Description: This feature will send automated notifications to users when potential matches are identified by the Smart Matchmaking algorithm. Users will receive alerts via email or within the platform, providing them with a list of potential buyers or suppliers that meet their specified criteria. This real-time notification system ensures users can take immediate action on opportunities, facilitating quicker transactions and enhancing the overall user engagement with the AgriSphere platform.
Acceptance Criteria: User receives a notification when a new potential buyer matches their product listing criteria.

Given a user has registered their product with specific criteria in the AgriSphere, when the Smart Matchmaking algorithm identifies a matching buyer, then the user should receive an email alert and an in-platform notification containing the buyer's details.

User is notified of matched suppliers based on their requested inventory needs.

Given a user has specified their required inventory in the AgriSphere platform, when the Smart Matchmaking algorithm finds suppliers that meet these needs, then the user will receive an automated email and a dashboard alert with supplier information.

Notifications are successfully received through both email and in-platform alerts.

Given a user has opted in to receive notifications, when a match is found, then the user must receive the notification via both email and an in-platform alert within 5 minutes of the match being identified.

User can manage their notification preferences effectively within the platform.

Given a user is in their account settings, when they change their notification preferences regarding matches, then those preferences must be saved and applied to future notifications without the need for resubscription.

Users can see a history of their received match notifications.

Given a user logs into their account, when they navigate to the match notification history section, then they should see a complete list of past notifications including date, time, and details of matches for the last 30 days.

Notification system handles errors gracefully if a user’s contact info is invalid.

Given a user has an invalid email address on file, when the Smart Matchmaking identifies a match for that user, then an error message should be logged, and the user should receive an alert prompting them to update their contact information via the platform.

Filtering and Sorting Options

User Story: As a buyer, I want to filter and sort the matched suppliers based on product type so that I can quickly find relevant suppliers that meet my purchasing needs.
Description: This requirement involves implementing advanced filtering and sorting options within the Smart Matchmaking feature. Users will be able to filter matches based on various criteria such as location, product type, and quantity, and sort them by relevance, distance, and time added. This capability is essential as it allows users to easily navigate through potential matches and find the most suitable opportunities quickly, thus enhancing their decision-making process and overall productivity within the AgriSphere platform.
Acceptance Criteria: User filters matches by product type and location.

Given a user on the Smart Matchmaking feature, when they apply filters for product type and location, then only matches that meet both criteria should be displayed in the results.

User sorts matches by relevance and time added.

Given a user has applied filters in the Smart Matchmaking feature, when they choose to sort the matches by relevance and time added, then the results should be ordered correctly according to the selected sorting criteria.

User filters matches by quantity and sorts by distance.

Given a user who needs to find potential buyers with specific quantities, when they filter matches by quantity and sort the results by distance, then the displayed matches should correctly reflect both the filtered quantity and be sorted from closest to farthest.

User applies multiple filters simultaneously.

Given a user on the Smart Matchmaking feature, when they apply multiple filters (location, product type, and quantity) at once, then the system should return matches that satisfy all selected filters without error.

User receives results without applying filters.

Given a user on the Smart Matchmaking feature who has not applied any filters, when they submit the search, then the system should display all available matches in the marketplace.

User finds no matches for the applied filters.

Given a user applies specific filters that do not match any available products, when they search, then the system should inform the user that no matches were found and suggest resetting filters or using less restrictive options.

User saves filtering preferences for future use.

Given a user frequently uses certain filter combinations, when they save these preferences, then the system should allow the user to easily apply the saved filters in future searches.

Match Quality Ratings

User Story: As a user, I want to rate the quality of my matches so that I can help improve the accuracy of future matchmaking efforts in the AgriSphere platform.
Description: To enhance the effectiveness of the Smart Matchmaking feature, this requirement introduces a match quality rating system. After users interact with their matches, they can provide feedback on the quality of the match through ratings and comments. This feedback will be used to refine the matchmaking algorithms, ensuring a continuous improvement process that helps the platform deliver even more accurate and satisfactory matches over time. This feature not only empowers users to influence the quality of their interactions but also helps in building trust within the AgriSphere ecosystem.
Acceptance Criteria: User provides feedback after a transaction with a matched buyer or supplier.

Given a user has completed a transaction with a match, when the user accesses the feedback section for that match, then they should be able to submit a rating from 1 to 5 stars and write a comment explaining their rating.

Match quality ratings are analyzed to improve matchmaking algorithms.

Given multiple users have submitted ratings and comments for their matches, when the system processes the feedback, then it should update the matchmaking algorithm weights based on the average ratings and sentiment analysis of comments received for each match type.

Users receive notifications about the quality ratings of their matches.

Given a user has previously received matches, when the user logs into the AgriSphere platform, then they should see a notification summarizing their match quality ratings and feedback received from their matched buyers or suppliers.

Users can view their past ratings and comments for matches.

Given a user has submitted ratings and comments, when they navigate to their profile’s feedback history section, then they should see a list of all their past ratings along with corresponding comments and match details.

System ensures feedback cannot be manipulated by users.

Given a user has already rated a match, when they attempt to rate the same match again, then the system should prevent them from submitting another rating and display a message stating that they can only rate a match once.

Ratings influence future matchmaking suggestions.

Given a user has consistently provided ratings, when the matchmaking algorithm runs, then it should prioritize suggesting matches that align with the user's favorable ratings while taking their previous interactions into account.

Aggregate ratings are displayed for potential matches.

Given a user is viewing potential matches in the marketplace, when they look at a match suggestion, then they should see an average match quality rating displayed alongside the match details to help inform their decision.

Integration with Payment Gateway

User Story: As a buyer, I want to process payments directly through AgriSphere so that I can conveniently finalize transactions without needing to use separate payment platforms.
Description: This requirement entails integrating a secure payment gateway within the Smart Matchmaking feature, enabling users to conduct transactions directly on the platform. This integration will facilitate a seamless buying and selling experience, allowing users to finalize deals without redirecting to external payment platforms. By offering an in-built payment solution, AgriSphere will enhance user confidence and security while streamlining the transaction process, thus encouraging more users to complete their trades on the platform.
Acceptance Criteria: User initiates a transaction through the Smart Matchmaking feature and selects an item to purchase, leading to the payment gateway interface being displayed.

Given a user is logged in and has selected an item to purchase, when they click on the 'Buy Now' button, then the payment gateway interface should appear within the AgriSphere platform without any external redirects.

A user attempts to complete a transaction but does not have sufficient funds in their payment method.

Given a user has insufficient funds in their selected payment method, when they attempt to finalize their purchase, then an error message indicating insufficient funds should be displayed and the transaction should not proceed.

User successfully completes a transaction through the integrated payment gateway.

Given a user has selected a payment method with sufficient funds, when they complete the transaction, then a confirmation message of the successful transaction should be displayed on the screen and an email receipt should be sent to the user's registered email address.

User wants to cancel a transaction after initiating payment but before completion.

Given a user has initiated a transaction but not completed the payment, when they click the 'Cancel Transaction' button, then the system should cancel the transaction and notify the user of the successful cancellation.

User checks their transaction history after making a purchase through the payment gateway.

Given a user has completed at least one transaction, when they navigate to the 'Transaction History' section, then all past transactions should be listed with details including date, item purchased, amount, and transaction status.

Administrator wants to reconcile transactions and check for payment gateway integration issues.

Given an administrator is accessing the transaction logs, when they review entries, then any failed payments should be clearly marked with error codes and a description of the issue for troubleshooting purposes.

User Engagement Analytics Dashboard

User Story: As a user, I want to see my engagement metrics related to matchmaking so that I can understand my activity level and optimize my use of the AgriSphere platform.
Description: This requirement involves building an analytics dashboard that provides insights into user engagement with the Smart Matchmaking feature. The dashboard will display metrics such as the number of matches viewed, interactions made, and successful transactions initiated from the matches. By providing users with insights into their activity, AgriSphere can help them understand their engagement level and optimize their use of the platform, fostering a more active and fruitful user experience.
Acceptance Criteria: User views their engagement metrics after using the Smart Matchmaking feature for one week.

Given a user has logged into the AgriSphere platform and navigated to the User Engagement Analytics Dashboard, When they select the time frame of 'Last 7 days', Then they should see metrics including the number of matches viewed, interactions made, and transactions initiated clearly displayed on the dashboard.

User accesses the engagement dashboard for the first time.

Given a new user logs into the AgriSphere platform for the first time, When they access the User Engagement Analytics Dashboard, Then an onboarding guide should appear to help them understand the displayed metrics and features.

User filters engagement metrics by specific categories in the dashboard.

Given a user is viewing the User Engagement Analytics Dashboard, When they apply filters for categories such as 'High Engagement' or 'Low Engagement', Then the displayed metrics should update accordingly to reflect the filtered results.

User exports their engagement data from the dashboard.

Given a user is on the User Engagement Analytics Dashboard, When they select the 'Export' option, Then they should receive a downloadable file containing their engagement metrics in CSV format.

User interacts with the metrics displayed in the dashboard.

Given a user is viewing the User Engagement Analytics Dashboard, When they click on a specific metric indicating 'transactions initiated', Then detailed information about those transactions should be displayed, including dates, amounts, and related matches.

User receives notifications based on their engagement activity.

Given a user has enabled notifications in their profile settings, When they reach a milestone of 100 interactions within the Smart Matchmaking feature, Then they should receive a notification congratulating them and suggesting further actions to maximize engagement.

User experiences loading times while interacting with the analytics dashboard.

Given a user accesses the User Engagement Analytics Dashboard, When they view the dashboard, Then the loading time for the dashboard metrics should not exceed 3 seconds under standard network conditions.

Dynamic User Support Chatbot

User Story: As a user, I want to interact with a chatbot for quick assistance on using the Smart Matchmaking feature so that I can resolve my issues or queries without delay.
Description: This feature will implement a dynamic user support chatbot that assists users navigating the Smart Matchmaking interface. The chatbot will provide real-time support, answering frequently asked questions, guiding users through profile customization, and offering tips on maximizing the matchmaking experience. Providing on-demand assistance not only enhances user satisfaction but also reduces the burden on customer support teams, fostering a more seamless user experience within the AgriSphere platform.
Acceptance Criteria: User initiates a conversation with the Chatbot while accessing the Smart Matchmaking interface.

Given the user is on the Smart Matchmaking page, when they click on the Chatbot icon, then the Chatbot should respond within 5 seconds and greet the user with an introductory message.

User asks the Chatbot a frequently asked question about profile customization.

Given the user types 'How do I customize my profile?' in the Chatbot, when the user submits the question, then the Chatbot should provide a step-by-step guide on profile customization within 3 seconds.

User seeks assistance in finding potential buyers through the Chatbot.

Given the user asks the Chatbot 'Can you help me find buyers for my crops?', when the question is submitted, then the Chatbot should provide at least three tailored suggestions and the steps to proceed with the matchmaking process.

User inquires about the features of Smart Matchmaking through the Chatbot.

Given the user types 'What features does Smart Matchmaking offer?', when the question is sent, then the Chatbot should respond with a summary of at least three key features within 5 seconds.

User requests tips to maximize the matchmaking experience from the Chatbot.

Given the user asks 'What tips do you have for maximizing my matchmaking experience?', when the user submits the request, then the Chatbot should provide at least 5 actionable tips within 3 seconds.

User navigates away from the Smart Matchmaking page but wants to return to the Chatbot later.

Given the user has interacted with the Chatbot and closed the window, when they return to the Smart Matchmaking page, then the Chatbot should remember the previous conversation and provide an option to continue where they left off.

Seasonal Demand Forecasting

A predictive analytics tool that forecasts demand for various crops and products throughout the seasons. By offering insights into upcoming market needs, this feature enables farmers to plan better and ensure their offerings align with market demand, increasing their chances of sales.

Requirements

Crop Demand Prediction Model

User Story: As a farmer, I want to know the predicted demand for my crops so that I can adjust my planting schedule and maximize my sales throughout the season.
Description: The Crop Demand Prediction Model combines historical sales data, weather patterns, and market trends to generate accurate forecasts for the demand of various crops throughout the seasons. The model will utilize machine learning algorithms to continuously learn from new data, improving its predictions over time. This requirement is crucial for ensuring farmers can align their planting and harvesting schedules with market needs, effectively reducing waste and maximizing profitability. By integrating with other features of AgriSphere, such as the real-time dashboard and IoT data inputs, the prediction model will provide actionable insights that promote informed decision-making among users, ultimately enhancing productivity and sustainability in agricultural practices.
Acceptance Criteria: User initiates the Crop Demand Prediction Model with historical sales data and weather patterns input for the upcoming season.

Given that the user has provided historical sales data and weather patterns, when the model is run, then it should generate crop demand forecasts for the next three months with at least 85% accuracy compared to market analysis reports.

The model integrates real-time IoT data from the user's farming environment to refine its predictions.

Given that real-time IoT data is being received, when the model incorporates this data, then it should update the demand forecast in real-time with a refresh rate not exceeding 30 minutes to reflect current conditions.

The user views the demand forecasts on the AgriSphere dashboard to plan planting and harvesting schedules.

Given that the demand forecasts are generated, when the user accesses the AgriSphere dashboard, then the forecasts should display in an intuitive format that is easy to interpret, with clear indicators for high, medium, and low demand crops.

The model learns from new data inputs over successive seasons and adjusts its predictions accordingly.

Given that new sales and weather data is collected from the previous season, when the model is retrained, then it should demonstrate improved prediction accuracy of at least 5% compared to the previous forecast.

The system provides actionable insights to farmers based on the demand predictions, indicating which crops to prioritize.

Given the generated demand forecasts, when a farmer requests recommendations, then the system should output a prioritized list of crops to plant based on predicted demand, with at least 80% correlation to previous successful sales reports.

Users receive alerts for significant changes in demand predictions due to weather pattern alterations or market shifts.

Given the demand prediction model is active, when the model detects a significant change (defined as a variation greater than 20%) in demand forecasts due to external factors, then it should send an immediate alert to the user’s AgriSphere account and registered email.

The model provides insight into potential profitability based on demand forecasts and cost inputs.

Given that the user inputs crop cost data alongside demand forecasts, when the analysis is performed, then the model should display potential profitability for each crop forecast, with a breakdown of expected revenue and costs, ensuring clarity and usability for decision-making.

Market Trend Analysis Dashboard

User Story: As a crop producer, I want to see detailed market trends to make informed decisions on which crops to invest in for the upcoming season.
Description: The Market Trend Analysis Dashboard will provide users with a visual interface that displays historical demand patterns and emerging trends for various crops. This dashboard will be integrated with data analytics tools that aggregate information from multiple sources, including market reports, competitor pricing, and consumer preferences. The dashboard's purpose is to give farmers a comprehensive view of market dynamics, enabling them to make data-driven decisions about what to plant and when to harvest. The feature will enhance user engagement by offering filters and customization options, allowing farmers to focus on trends relevant to their specific contexts, thereby improving the strategic alignment of their agricultural practices with market needs.
Acceptance Criteria: User views the Market Trend Analysis Dashboard to understand historical demand patterns for corn and soybeans during the spring season, needing to make informed planting decisions based on the data displayed.

Given the Market Trend Analysis Dashboard is open, when the user selects 'Spring Season' for corn and soybeans, then the dashboard displays historical demand patterns for these crops with at least three years of data visualized in a clear and comprehensible graph.

A farmer seeks to analyze consumer preferences for organic vegetables for the upcoming season by utilizing the Market Trend Analysis Dashboard to make planting decisions accordingly.

Given the Market Trend Analysis Dashboard is available, when the user applies the filter for 'Organic Vegetables,' then the dashboard updates to show emerging trends and consumer preference data for organic vegetables over the past two years.

The user wants to compare the current market prices for different crops listed on the Market Trend Analysis Dashboard against competitor pricing to adjust their pricing strategy.

Given the Market Trend Analysis Dashboard is accessible, when the user chooses 'Compare Prices' option, then the system displays a side-by-side comparison of current market prices for at least five different crops along with competitor pricing for those crops.

A farmer intends to customize the Market Trend Analysis Dashboard to focus on specific crops relevant to their farming strategy throughout the year.

Given the Market Trend Analysis Dashboard is active, when the user utilizes the customization options to select specific crops, then the dashboard should only show trend data and analysis relevant to those selected crops without irrelevant information.

User is utilizing the Market Trend Analysis Dashboard in a mobile application while on the field, seeking quick access to real-time trend insights.

Given the mobile version of the Market Trend Analysis Dashboard is open, when the user navigates to the 'Real-Time Insights' section, then the user should be able to see updated market trends in a responsive layout optimized for mobile viewing, within three seconds of loading.

A farm manager needs to generate a report from the Market Trend Analysis Dashboard to share with stakeholders during a monthly review meeting.

Given the Market Trend Analysis Dashboard allows for reporting, when the user selects the 'Generate Report' option, then the system provides an option to create a downloadable report that includes visual data representations from the dashboard for the selected period and crops.

Alert System for Demand Shifts

User Story: As a farmer, I want to receive timely alerts when there is a significant change in demand for my crops so that I can quickly adjust my strategy and capitalize on new opportunities.
Description: The Alert System for Demand Shifts will monitor real-time data and notify users about significant changes in market demand for crops they are currently growing. This feature will utilize push notifications and alerts to inform farmers of sudden market shifts, such as increased demand due to external factors like weather changes or supply chain disruptions. The alerts will empower farmers to react quickly to new opportunities, whether by adjusting their marketing strategies or by accelerating their harvest schedules. This system is vital for enhancing responsiveness in an ever-changing market environment, ultimately supporting better financial outcomes for users by reducing the risk of unsold inventory.
Acceptance Criteria: User receives a push notification for significant demand shift for corn during peak planting season.

Given the user is growing corn, when there is a 20% increase in market demand according to real-time data, then the user receives a push notification alerting them of the demand shift.

User accesses the alert history to review past notifications regarding demand changes.

Given the user is logged into their dashboard, when they navigate to the alert history, then they should see a chronological list of all past notifications about demand shifts for their crops.

User customizes alert preferences for demand changes based on specific crops.

Given the user wants to receive alerts only for wheat and soybeans, when they adjust their alert settings, then they should receive notifications only for significant demand shifts relating to these specified crops.

User receives an alert about a sudden increase in demand due to adverse weather conditions affecting competitor crops.

Given the user is currently growing soybeans, when a weather event causes a 30% demand increase for soybeans in the market, then the user receives an immediate alert notifying them of this change.

User tests the alert system by simulating a demand shift notification.

Given the user has access to a testing environment, when they simulate a demand shift for barley, then the alert system should respond by sending a test notification to their device.

User reviews the impact of demand shift alerts on their sales metrics.

Given the user has received alerts for demand shifts in the last month, when they analyze their sales data, then they should see a 15% increase in sales correlated with the alerts they received.

User compares the effectiveness of alerts over different time periods.

Given the user has been using the alert system for three months, when they generate a report comparing alerts received month over month, then they should see an overall improvement in responsiveness and sales outcomes in the latest month compared to earlier periods.

Integration with IoT and Satellite Data

User Story: As a farmer, I want to use real-time environmental data to improve the accuracy of my demand forecasts so that I can optimize my crop management practices.
Description: The Integration with IoT and Satellite Data requirement will facilitate the seamless import of environmental data from IoT devices and satellite imagery to enhance demand forecasting accuracy. This feature will analyze factors such as soil moisture, weather forecasts, and satellite imagery of crop health to correlate these variables with market demand trends. By leveraging real-time environmental data, farmers will receive more precise forecasts, helping them make well-informed decisions about resource allocation and crop management. This integration is essential for enabling a holistic approach to precision farming within AgriSphere, maximizing both product effectiveness and sustainability in agricultural operations.
Acceptance Criteria: Data Collection from IoT Devices

Given that the IoT devices are connected and operational, when the environmental data is collected, then the system should successfully import soil moisture levels, temperature, and humidity readings into the dashboard within 5 minutes of data capture.

Satellite Imagery Integration

Given that satellite imagery data is available, when the system initiates the integration process, then the satellite images should be processed and correlated with crop health data, providing accurate representations of crop conditions within 10 minutes.

Demand Forecast Accuracy Validation

Given historical demand data and integrated environmental data, when the demand forecasting model generates predictions, then the forecast accuracy should be validated against actual market demand data with at least an 85% accuracy rate over three consecutive seasons.

User Alerts for Critical Conditions

Given that the system continuously analyzes environmental data, when a critical condition (e.g., low soil moisture or extreme weather) is detected, then the user should receive an alert through the app within 5 minutes of detection.

Dashboard Display of Forecasted Demand

Given that demand forecasting has been processed, when the user accesses the dashboard, then the forecasted demand for various crops should be displayed clearly, showing predicted quantities and trends for the next four seasons.

Integration Testing for Data Flow

Given that both IoT and satellite data integrations have been developed, when an integration test is performed, then all environmental data should flow seamlessly into the forecasting model without data loss or delay.

User Training and Documentation

Given that the Integration with IoT and Satellite Data feature is ready, when user training is conducted, then at least 90% of the participants should demonstrate an understanding of how to use the new feature effectively as assessed by a follow-up survey.

User Feedback Mechanism

User Story: As a user of AgriSphere, I want to provide feedback on the demand forecasting tool so that it can be improved to better serve my needs and those of my fellow farmers.
Description: The User Feedback Mechanism will allow farmers to provide feedback on demand forecasting accuracy and the relevance of insights generated by the system. This feature will include survey forms and feedback loops where users can share their experiences and suggestions for improvement. By actively collecting user input, AgriSphere can enhance the predictive capabilities of its forecasting tools, ensuring they meet the evolving needs of farmers in different regions and contexts. Continuous feedback will be instrumental in refining algorithms and improving service delivery, ultimately contributing to user satisfaction and retention.
Acceptance Criteria: Farmers access the User Feedback Mechanism after receiving season demand forecasts to share their insights.

Given a farmer has received the seasonal demand forecast, when they navigate to the feedback section and submit their feedback, then the system should successfully record and acknowledge the feedback submission.

Farmers complete a survey on demand forecasting accuracy within the User Feedback Mechanism.

Given a farmer opens the survey link provided in the feedback section, when they complete and submit the survey, then the system should tally the responses and display a confirmation message to the user.

The AgriSphere team reviews feedback collected from farmers and analyzes the data to improve demand forecasting accuracy.

Given feedback has been collected and submitted by users, when the AgriSphere team aggregates the feedback data, then they should be able to generate a report summarizing user suggestions and areas for improvement within 5 business days.

Farmers receive notifications about updates made to demand forecasting tools based on their feedback.

Given improvements have been made to the demand forecasting tools, when the changes are implemented, then notifications should be sent to all farmers who submitted feedback regarding those specific features within 24 hours.

Farmers engage in a feedback loop by providing suggestions for new features in the User Feedback Mechanism.

Given a farmer has an idea for a new feature, when they submit their suggestion through the feedback form, then the system should confirm receipt of the suggestion and outline the next steps for consideration of new features.

Farmers rate their satisfaction with the accuracy of the demand forecasting system as part of the feedback mechanism.

Given a farmer has interacted with the demand forecasting system, when they rate their satisfaction on a scale from 1 to 5 via the feedback form, then the system should record the rating and calculate the average satisfaction score for reporting purposes.

Collaborative Selling Groups

A community-driven feature that allows farmers to form groups for bulk selling of produce or shared purchasing of supplies. By collaborating, users can leverage group benefits such as better pricing, increased visibility, and shared logistics.

Requirements

Group Formation and Management

User Story: As a farmer, I want to create a group where I can gather with other local farmers to collaborate on selling our produce collectively so that we can negotiate better pricing and cut down on shipping costs.
Description: This requirement enables users to easily create and manage collaborative selling groups within the AgriSphere platform. Users should be able to invite other farmers, set group goals, and define rules for membership participation. This functionality enhances community engagement, fosters collaboration, and allows farmers to leverage collective buying and selling power, resulting in cost savings and improved market access. The management interface should be user-friendly and allow for easy adjustments to group settings and membership, ensuring a smooth collaborative experience.
Acceptance Criteria: User Creation of a Collaborative Selling Group

Given a logged-in user with access to the AgriSphere platform, when they choose to create a new collaborative selling group, then the system should allow them to enter a group name, description, and invite other members via email or messaging.

User Management of Group Goals and Rules

Given an existing collaborative selling group, when the group leader accesses the management interface, then they should be able to define and edit group goals and participation rules, with clear prompts for saving changes.

Member Invitation and Acceptance Process

Given a user has been invited to join a collaborative selling group, when they receive an invitation, then they should have the option to accept or decline the invitation and receive a confirmation notification upon acceptance.

User Experience in Managing Group Membership

Given a group manager in a collaborative selling group, when they access the membership management tool, then they should be able to view all members, remove members, and add new members seamlessly, with actions reflected in real-time.

Group Goal Progress Tracking

Given a collaborative selling group with defined goals, when the group members log in, then they should see a dashboard reflecting the progress towards each goal, with metrics that are easily understandable and actionable.

Notification System for Group Activities

Given members of a collaborative selling group, when any activity occurs such as goal updates or member changes, then the system should automatically send notifications to all members regarding these changes.

Bulk Pricing Negotiation Tool

User Story: As a member of a collaborative selling group, I want to negotiate bulk pricing on supplies with my group members so that we can reduce our costs and increase our profits when selling our products.
Description: This feature allows collaborative selling groups to negotiate bulk pricing with suppliers and buyers directly through the AgriSphere platform. The tool will facilitate communication, proposal submission, and agreement finalization among group members and external stakeholders. By leveraging the power of collaboration, users can access discounted prices, thus maximizing their profit margins. This requirement is essential for ensuring that farmers can easily benefit from group buying or selling scenarios, and it should include templates and guidelines for negotiations to streamline the process.
Acceptance Criteria: Group members initiate a negotiation for bulk pricing on fertilizers, selecting items to be included in the proposal using the Bulk Pricing Negotiation Tool within AgriSphere.

Given that the group members are logged into AgriSphere, When they select fertilizers and initiate a negotiation, Then a proposal submission form should appear with fields for quantity, price, and any special terms.

The group completes their proposal for bulk pricing and submits it to suppliers for consideration and response.

Given that the proposal is completed with all required fields filled in, When the group members click the ‘Submit Proposal’ button, Then the tool should send the proposal to the selected suppliers and confirm submission to the group.

Suppliers review the submitted proposals and respond with counter-offers directly through the AgriSphere platform.

Given that suppliers have received the proposal, When they submit a counter-offer, Then the tool should notify the group members of the counter-offer and display it in the negotiation section of the dashboard.

Group members review received counter-offers and decide whether to accept, reject, or counter the offer.

Given that group members have received counter-offers, When they select an option to accept or reject, Then the system should update the negotiation status and inform the supplier about the group's decision.

Group members utilize negotiation templates to guide their discussions with suppliers for pricing negotiations.

Given that negotiation templates are accessible within the tool, When the group members view or use a template, Then they should be able to customize it with their specific needs and submit it with their proposals.

After a successful negotiation, the group finalizes the agreement and processes the transaction.

Given that an agreement is reached, When the group members confirm the final terms, Then the system should allow them to finalize the transaction and generate an agreement document for record-keeping.

Logistics Coordination

User Story: As a farmer in a collaborative selling group, I want to coordinate logistics with my group members so that we can ensure timely delivery of our products to buyers and reduce our individual transportation costs.
Description: This requirement focuses on providing tools for collaborative selling groups to coordinate their logistics efficiently. The functionality will include scheduling pick-ups and deliveries, sharing transportation resources, and tracking shipments in real-time. It will enhance the operational efficiency of the group by minimizing logistics costs and optimizing supply chain management. Integration with third-party logistics providers should be considered to expand capabilities, ultimately ensuring that products reach markets effectively and sustainably.
Acceptance Criteria: Scheduling Pick-ups for Bulk Orders in Collaborative Selling Groups

Given a user is part of a collaborative selling group, when they create a bulk order and schedule a pick-up, then all group members should receive a notification of the scheduled pick-up date and time, and the order details should be correctly reflected in the group's dashboard.

Real-time Shipment Tracking for Collaborative Selling Groups

Given a shipment has been dispatched from a farmer's location, when the user accesses the logistics section of AgriSphere, then they should see real-time tracking updates on the shipment's location and estimated arrival time on the platform.

Integrating Third-party Logistics Providers

Given a user opts to use a third-party logistics provider for their shipment, when they input the necessary details and confirm the integration, then the system should successfully connect with the logistics provider and provide options for scheduling pick-ups and deliveries.

Sharing Transportation Resources among Group Members

Given a user wants to share their transportation resources with their collaborative selling group, when they input the details of the vehicle and availability in the system, then all group members should have access to these details and be able to book the resource as needed.

Calculating Logistics Costs for Collaborative Sales

Given a group has scheduled a pick-up and delivery for their order, when logistics costs are calculated based on distance, weight, and logistics provider rates, then the cost breakdown should be accurately displayed to all group members prior to confirmation.

Optimizing Delivery Routes for Efficiency

Given multiple pick-ups are scheduled by the group, when the system analyzes the locations of all pick-ups and deliveries, then it should automatically suggest the most efficient delivery route that minimizes travel time and reduces costs.

Shared Inventory Management

User Story: As a member of a collaborative selling group, I want to manage our shared inventory for supplies so that we can avoid shortages and overstocking, ensuring that all group members have what they need to succeed.
Description: This feature allows group members to track shared inventory for common supplies or produce. Users will be able to manage stock levels, set reorder points, and forecast supply needs collectively. This will promote efficient inventory usage, reduce wastage, and ensure that all group members have access to necessary resources when needed. The shared inventory management system should provide real-time alerts and analytics to help optimize inventory levels across the collaborative selling group.
Acceptance Criteria: Users can create a collaborative selling group and invite other members to join in order to manage shared inventory for their supplies and produce.

Given a user has access to the collaborative selling groups feature, when they create a group and invite members, then all invited users should receive a notification and have the ability to join the group.

Group members can input and update inventory data for shared supplies and produce in real time within their collaborative selling group.

Given a group member has access to inventory management, when they add or update inventory items, then the changes should be reflected in real time for all group members.

Users of the shared inventory management feature can set reorder points for specific inventory items to prevent stockouts.

Given a user is managing an inventory item, when they set a reorder point, then they should receive a notification when the stock level drops below this point.

Members of a collaborative selling group can view collective analytics on inventory levels and usage patterns to make informed purchasing decisions.

Given that inventory data is available, when a member accesses the analytics dashboard, then they should see visual representations of stock levels and usage trends over time.

The shared inventory management system generates alerts for low stock levels to ensure timely replenishment of supplies.

Given an item’s stock level falls below the set reorder point, when the alert is triggered, then all group members should receive a notification for the low stock status.

Group members can forecast future supply needs based on historical inventory data and usage rates in the shared inventory system.

Given historical inventory data is available, when a member views the forecasting tool, then they should see projected supply needs for the upcoming weeks or months based on past usage trends.

Community Feedback and Ratings System

User Story: As a farmer participating in a collaborative selling group, I want to be able to review and rate my co-members so that I can ensure accountability and quality within our community interactions.
Description: This requirement aims to implement a feedback and rating system for members of collaborative selling groups to evaluate their experiences with one another. Users can provide ratings and leave comments based on the quality of products received, communication ease, and overall collaboration success. This promotes accountability and trust within the community, encouraging positive interactions and consistent quality of goods and services shared within groups. The system should be integrated with user profiles to maintain transparency and foster a healthy community environment.
Acceptance Criteria: Users provide a rating to a fellow member after successfully completing a transaction within a collaborative selling group.

Given a completed transaction, when a user accesses the feedback section for a member, then they must be able to submit a rating on a scale of 1 to 5 stars and add a comment, which is stored and visible to all group members.

A user wants to view ratings and feedback of a group member before deciding to collaborate with them.

Given a user's profile, when another user views this profile, then the system must display an average rating and a list of feedback comments received from other members, ensuring clarity and transparency.

After submitting a rating, a user wants to be able to edit or delete their feedback within a specific time frame.

Given a submitted rating, when a user tries to edit or delete their feedback within 7 days, then they should be allowed to make modifications, after which the feedback becomes final and uneditable.

The system must ensure that ratings are only submitted after a successful transaction is marked as complete.

Given a user transaction, when the transaction status is set to 'complete', then the system must allow ratings to be submitted, ensuring no ratings can be given before this confirmation.

A notification system alerts users of new feedback received on their profile.

Given a user profile, when a new rating or comment is added by another member, then the system must send a notification to the user indicating that they have new feedback to review.

Users want to report inappropriate or fraudulent feedback comments on member profiles.

Given a feedback comment, when a user selects the option to report the comment, then the system must allow the user to submit a report indicating the reason, and the comment should be flagged for review.

The community feedback and ratings system should be fully integrated with user profiles for consistent access and visibility.

Given any user profile, when an admin or a user accesses it, then they should see a section for community ratings and feedback prominently displayed without navigation issues.

Integrated Payment Solutions

Offering secure and straightforward payment processing options directly within the marketplace. This feature streamlines transactions, ensuring that all parties can complete trades safely and efficiently, encouraging greater participation in the market.

Requirements

Seamless User Authentication

User Story: As a farmer using AgriSphere, I want to quickly log into my account using my social media account so that I can access payment processing features without remembering another password.
Description: This requirement focuses on implementing a secure and efficient user authentication system for AgriSphere's Integrated Payment Solutions feature. It aims to facilitate user registrations and logins via email and social media accounts, ensuring that all transactions are secure and only authorized users have access to their accounts. Additionally, the system will support multi-factor authentication (MFA) to enhance security. By streamlining the authentication process, users can quickly access their accounts and start using the payment features without cumbersome processes. The goal is to create a secure, reliable user experience that builds trust and encourages transaction activity within the marketplace.
Acceptance Criteria: User registration via email and social media accounts

Given a user navigates to the registration page, when they enter their email address or select a social media option and complete the registration, then the system should create a user account and send a verification email within 5 minutes.

User login via email and social media accounts

Given a registered user opens the login page, when they enter their credentials or use a social media login, then the system should successfully authenticate the user and redirect them to the user dashboard within 3 seconds.

Multi-factor authentication during login

Given a user attempts to log in with correct credentials, when they are prompted for a second authentication factor and they provide a valid code, then the system should grant access to their account securely.

Password reset process

Given a user who has forgotten their password, when they click on the 'Forgot Password' link and provide their email address, then the system should send a password reset link within 5 minutes and allow the user to reset their password securely.

Session timeout management

Given a user is logged into their account, when there is no activity for 15 minutes, then the system should automatically log the user out and redirect them to the login page with a message about session expiration.

User account security notifications

Given a user successfully logs into their account, when the system detects a login from an unrecognized device, then the system should send an email notification to the user about the login attempt and prompt them to verify the activity.

Integration with third-party authentication services

Given a user selects a third-party authentication service (e.g., Google, Facebook), when they successfully authenticate with that service, then the system should create and link the account, allowing access to the user features without requiring additional registration.

Multi-Currency Support

User Story: As a user purchasing products on AgriSphere, I want to be able to select my local currency during payment so that I can easily understand and manage my transaction costs without confusion.
Description: This requirement involves integrating multi-currency support into the payment processing system. It will allow users to transact in various currencies relevant to their geographical locations, enhancing the user experience for international trading. This functionality should include automatic currency conversion, real-time exchange rates, and the ability to choose a preferred currency at the time of payment. By implementing this feature, AgriSphere will facilitate smoother transactions for users who engage in cross-border sales, thereby expanding the marketplace's reach and participation while accommodating the preferences of diverse users.
Acceptance Criteria: User selects multi-currency payment option during checkout.

Given a user has added items to their cart, when they proceed to checkout, then they should be able to select their preferred currency from a dropdown list that includes at least 5 different currencies.

System performs accurate currency conversion at checkout.

Given a user selects a currency, when the total amount for the order is calculated, then the system must automatically convert the price using real-time exchange rates, displaying the equivalent amount in the selected currency.

User completes a transaction in a different currency.

Given a user has selected a preferred currency and completed their purchase, when the transaction is processed, then the payment gateway should successfully process the payment and provide a transaction receipt in the selected currency.

User checks their transaction history in multiple currencies.

Given a user has made multiple transactions in different currencies, when they view their transaction history, then the system should display each transaction with appropriate currency labels and converted amounts for clarity.

Admin updates currency exchange rates in real-time.

Given the admin panel is accessed, when the admin updates currency exchange rates, then the system must reflect these updates in real-time for all users during the checkout process.

User receives notifications about currency conversion fees.

Given a user initiates a transaction with a currency conversion, when they check the payment summary, then they should see clearly displayed any applicable currency conversion fees before finalizing the transaction.

Transaction Confirmation and Receipts

User Story: As a buyer on AgriSphere, I want to receive immediate confirmation of my transaction and a digital receipt so that I can keep accurate records of my purchases for my accounting.
Description: This requirement mandates the development of an automated system that provides transaction confirmations and digital receipts via email or within the user’s dashboard immediately after payment is processed. This feature will enhance transparency in transactions and provide users with an easy way to track their purchases for future reference. Moreover, receipts should include details such as transaction ID, date, amount, and items purchased. By ensuring users receive confirmations, AgriSphere will promote trust in the marketplace and facilitate better record-keeping for users engaged in agricultural transactions.
Acceptance Criteria: User successfully completes a payment transaction for a purchase on the AgriSphere marketplace.

Given that the user initiates a payment for a purchase, When the payment is successfully processed, Then the user receives an email confirmation containing the transaction ID, date, amount, and items purchased.

User views their transaction history on the AgriSphere dashboard after making a purchase.

Given that the user is logged into their AgriSphere account, When the user navigates to the transaction history section, Then the user should see a record displaying the most recent transaction with the correct transaction details including ID, date, amount, and items purchased.

User checks their spam/junk folder for a transaction confirmation email.

Given that the user has completed a transaction and is expecting a confirmation email, When the user checks their spam/junk folder, Then the confirmation email should not be found in the spam/junk folder if the email was delivered successfully to the inbox.

User attempts to retrieve a lost digital receipt from their AgriSphere dashboard.

Given that the user has made a purchase and has lost the email receipt, When the user clicks on the 'Download Receipts' option from the user dashboard, Then the user should see the digital receipt available for download that includes transaction ID, date, amount, and items purchased.

Admin user checks that transaction receipts meet standard format requirements.

Given that an admin user is reviewing transactions, When the admin views a transaction receipt, Then the receipt should conform to the standard format including transaction ID, date, amount, items purchased, and the AgriSphere branding elements.

User receives a confirmation receipt for a failed payment transaction.

Given that the user attempts to complete a payment and the transaction fails, When the transaction fails, Then the user should receive an immediate notification stating that the payment was unsuccessful, along with options to retry or contact support.

Multiple users make transactions simultaneously on the AgriSphere marketplace.

Given that multiple users are making transactions at the same time, When each user completes their payment, Then all users should receive individual transaction confirmations via email without delays or errors.

Fraud Detection Mechanism

User Story: As a user of AgriSphere, I want to feel secure knowing there’s a fraud detection system in place so that I can confidently make purchases without worrying about potential scams.
Description: The requirement is to implement a robust fraud detection system within the payment processing feature to identify and mitigate potential fraudulent transactions. This system will utilize machine learning algorithms to analyze transaction patterns, flag suspicious activities, and automatically notify users and administrators for further investigation. It aims to protect users from potential losses and retain the integrity of the AgriSphere marketplace. By proactively addressing fraud, the platform can foster a secure environment that encourages more users to engage in transactions.
Acceptance Criteria: Fraud Alert During Transaction

Given a user initiates a payment transaction, when the transaction is analyzed by the fraud detection system, then any transaction flagged as suspicious should trigger an immediate alert notification to both the user and the administrator.

Monthly Fraud Report Generation

Given that the fraud detection mechanism is operational, when the end of the month is reached, then a detailed report summarizing all flagged transactions and corresponding actions taken should be automatically generated and sent to the marketplace administrators.

User-initiated Fraud Report Review

Given that a user receives a fraud alert notification, when the user accesses their account to view the transaction history, then they should be able to see all relevant details of the flagged transaction along with options to report or dispute the charge.

Machine Learning Algorithm Training

Given the historical transaction data available in the system, when the fraud detection system is initially set up, then the machine learning algorithms should be trained using this historical data to ensure accurate detection of fraudulent patterns going forward.

Real-time Fraud Detection Response Time

Given a transaction is being processed, when the fraud detection system evaluates the transaction, then the system should flag and notify of any suspicious activity within 2 seconds of transaction initiation.

Integration with External Fraud Databases

Given the fraud detection mechanism is implemented, when a transaction is processed, then the system should cross-check the transaction details against recognized external fraud databases to identify known fraudulent accounts or activities.

User Feedback on Fraud Detection Accuracy

Given that the fraud detection alerts have been sent to users, when users receive an alert, then they should have the option to provide feedback on the accuracy of the alert which will be recorded for future improvements.

Mobile Payment Integration

User Story: As an agricultural business owner, I want to pay for orders using my mobile wallet so that I can complete transactions quickly and efficiently while on the go.
Description: This requirement involves integrating mobile payment options like Apple Pay, Google Pay, and other popular wallets into the payment processing feature. The goal is to provide users with a convenient way to make transactions directly from their mobile devices, enhancing the overall user experience on AgriSphere. By allowing mobile payments, the platform can increase transaction speeds and improve accessibility for users who prefer mobile solutions. This feature will cater to the growing trend of mobile commerce within the agricultural marketplace, making transactions more user-friendly and efficient.
Acceptance Criteria: Users should be able to select mobile payment options during the checkout process on the AgriSphere platform when purchasing products from the marketplace.

Given a user is on the checkout page, when the user selects 'Pay with Mobile Wallet', then the options for Apple Pay and Google Pay should be displayed.

Users must successfully complete a transaction using a mobile payment method without encountering errors.

Given the user selects Apple Pay as a payment method, when the user confirms the payment, then the transaction should be processed successfully without any error messages.

Users will receive a confirmation of their payment via email once the transaction is completed using mobile payments.

Given a successful transaction is completed using mobile payment, when the transaction is processed, then the user should receive an email confirmation with the transaction details within 5 minutes.

AgriSphere must handle exceptions that may arise during mobile payment transactions, such as payment declines or technical issues.

Given the user attempts to make a payment via Google Pay, when the payment is declined, then the user should receive an error message explaining the reason for the decline.

Users should be able to access their previous mobile payment transaction history through their account dashboard.

Given the user is logged into their account, when the user navigates to the 'Transaction History' section, then all mobile payment transactions should be displayed along with their statuses.

The mobile payment integration must comply with security measures to protect users' payment information during transactions.

Given the payment process is initiated via mobile wallet, when the payment transaction is processed, then all user payment data should be encrypted and comply with industry standards for security.

The AgriSphere platform should offer support and FAQs related to mobile payment options to assist users in the event of issues.

Given a user navigates to the 'Help' section, when the user looks for information on mobile payments, then they should find a comprehensive FAQ detailing mobile payment options and troubleshooting steps.

Payment Dispute Management System

User Story: As a seller on AgriSphere, I want the ability to file a dispute for payment issues directly on the platform so that I can resolve problems efficiently without relying on external communication.
Description: This requirement aims to create a structured payment dispute management system that allows users to raise disputes directly within the AgriSphere platform for any transaction-related issues. This system should enable users to submit their concerns, upload documentation, and track the status of their disputes. Additionally, it should notify users about the updates regarding their dispute in real-time. This feature is crucial for maintaining user trust, ensuring that both buyers and sellers feel their issues will be addressed adequately. The goal is to create a transparent and user-friendly process for managing payment disputes effectively.
Acceptance Criteria: User Initiates a Payment Dispute

Given a user has completed a transaction and identifies an issue, when they navigate to the payment dispute section on the AgriSphere platform and submit a new dispute by providing a clear description and attaching relevant documentation, then the system should confirm the receipt of the dispute and notify the user with a unique dispute ID.

User Tracks Payment Dispute Status

Given a user has submitted a payment dispute, when they access the dispute tracking functionality, then the system should display an accurate and real-time status update of the dispute including the current stage and any actions taken by the support team.

User Receives Notifications for Dispute Updates

Given a user has an active payment dispute, when there are updates regarding the dispute (e.g., acknowledgment, resolution), then the system should automatically send notifications to the user's registered email and the app notifying them of the changes in the dispute status.

User Uploads Additional Documentation for Dispute

Given a user has initiated a payment dispute, when they want to provide further evidence related to the dispute, they should be able to upload additional documents directly within the dispute management interface, and the system should confirm successful upload.

User Resolves a Payment Dispute

Given a payment dispute has been investigated, when the support team resolves the dispute and communicates the outcome to the user, then the system should update the dispute status to 'Resolved' and provide a summary of the findings to the user.

User Views Dispute History

Given a user has previously submitted payment disputes, when they choose to view their dispute history on the platform, then the system should display a comprehensive list of all past disputes including status, resolution details, and timestamps.

Admin Access to Dispute Management

Given an admin user logs into the AgriSphere platform, when they navigate to the payment dispute management section, then they should be able to see all disputes submitted, along with their statuses, and have the ability to update, resolve, or communicate actions taken to the users.

Dynamic Weather Insights

This feature provides real-time weather updates and forecasts, allowing farmers to adjust their irrigation schedules proactively. By incorporating local weather data, users can anticipate rain or drought conditions, ensuring that crops receive the optimal amount of water while avoiding waste, ultimately promoting better crop health and resource efficiency.

Requirements

Real-time Weather Data Integration

User Story: As a farmer, I want to receive real-time weather data for my area so that I can make timely decisions about irrigation and ensure optimal crop health.
Description: This requirement involves the integration of real-time weather data from reliable sources into the AgriSphere platform. The feature will pull data such as current temperature, humidity, precipitation levels, and wind speeds in specific farming areas, allowing farmers to receive instantaneous updates and forecasts. The integration of this data is crucial for providing farmers with timely information to make informed decisions about irrigation and crop management. It enhances the overall user experience by ensuring that they are equipped with the necessary information to respond quickly to changing weather conditions. The successful implementation of this requirement will not only improve crop health by ensuring proper watering schedules but also contribute to resource conservation by minimizing water waste.
Acceptance Criteria: Farmers receive real-time notifications about weather changes on their dashboard in AgriSphere during their daily operations, allowing them to adjust irrigation schedules and crop management strategies promptly.

Given that the weather data feed is active, when a significant weather change occurs (e.g., heavy rainfall forecast), then the platform should send a notification to the user’s dashboard and mobile app within 5 minutes.

Farmers are able to view a 7-day weather forecast tailored to their specific farm locations, assisting them in planning for future irrigation and farming activities.

Given a user selects their farm location, when they access the weather insights feature, then the platform should display a 7-day weather forecast including temperature, precipitation, and wind speed.

The real-time weather data integration should accurately reflect current weather conditions, ensuring the information displayed matches actual weather readings in farmers' specific locations.

Given the weather sensors are operational, when the platform retrieves current weather data, then the displayed temperature, humidity, precipitation levels, and wind speeds must be within 10% accuracy of the measurements recorded by local weather stations.

Farmers can seamlessly integrate their existing IoT irrigation systems with the AgriSphere platform to automate irrigation based on real-time weather predictions.

Given a farmer has an IoT irrigation system connected, when the weather forecast predicts no rain for the next 3 days, then the system should automatically schedule and initiate irrigation during optimal hours.

Users can access historical weather data on the AgriSphere platform to analyze trends and make informed agricultural decisions for upcoming planting seasons.

Given that the user selects the historical weather data option, when they input their desired date range, then the platform should return accurate historical weather data, including average temperature and precipitation for that period.

Farmers are notified when the weather conditions are optimal or critical for specific crops, enabling them to take timely action for crop health.

Given that a user has specified their crop types, when a critical weather condition occurs that affects crop health, then the platform should notify the user with actionable insights based on the impact of those conditions on their crops.

Automated Alerts for Weather Changes

User Story: As a farmer, I want to receive automated alerts about significant weather changes so that I can take immediate action to protect my crops and optimize water usage.
Description: This requirement focuses on developing a system that automatically alerts users to significant weather changes, including forecasts for severe weather events such as storms or droughts. Alerts will be sent via SMS or push notifications through the AgriSphere app, ensuring that farmers can react swiftly to adverse weather conditions. This feature is essential for proactive farm management, allowing users to take preventive measures such as adjusting irrigation schedules or securing crops against potential damage. By providing timely notifications, AgriSphere helps farmers to mitigate risks and safeguard their investments, leading to better yield outcomes and sustainability in their practices.
Acceptance Criteria: User receives a weather alert for an incoming storm 24 hours in advance, allowing them to prepare their crops accordingly.

Given that significant weather changes are predicted, when a storm is forecasted, then the user should receive an SMS or push notification alerting them at least 24 hours in advance.

A user adjusts their irrigation schedule based on a weather alert for drought conditions.

Given that a drought is forecasted, when the user receives an alert, then they should be able to modify their irrigation schedule directly through the AgriSphere app with user-friendly options available.

User does not receive alerts for weather changes due to incorrect notification settings.

Given that a user has set their notification preferences, when severe weather is forecasted, then the system should verify that the alerts are sent based on the user's specified preferences (e.g., SMS or push notifications).

User receives an alert for a sudden change in weather conditions, such as a heatwave.

Given that unexpected weather conditions arise, when a heatwave is predicted suddenly, then the system should send an alert within 30 minutes to the user’s device.

User receives repeated weather alerts due to ongoing weather changes but does not want excessive notifications.

Given that a user is receiving weather alerts, when there are subsequent updates on a weather change, then the system should limit notifications to one per significant change to avoid overwhelming the user.

User accesses their alert history to review past weather notifications.

Given that a user wants to check their past notifications, when they navigate to the alert history section in the app, then they should see a log of all weather alerts received in the past month.

User adjusts their crop management strategy based on ongoing weather alerts throughout the season.

Given that the weather is changing over a period of time, when the user receives alerts consistently, then they should be able to update their crop management plans with options to reflect the predicted weather outcomes.

Interactive Weather Forecast Dashboard

User Story: As a farmer, I want an interactive dashboard that shows the weather forecast for the week so that I can plan my farming activities and irrigation schedules effectively.
Description: This requirement entails the creation of a user-friendly dashboard interface that displays interactive weather forecasts for the upcoming week. The dashboard will include visualizations such as graphs and charts, showing temperature trends, precipitation probabilities, and days of optimal weather for farming activities. This feature is designed to enhance user engagement and facilitate better planning by allowing farmers to visualize weather patterns at a glance. By having access to an intuitive interface, users can easily interpret weather data and integrate it into their farming strategies, ultimately leading to improved productivity and resource management.
Acceptance Criteria: User accesses the Interactive Weather Forecast Dashboard to plan for the upcoming week's irrigation schedule based on real-time weather data.

Given that the user has logged into the AgriSphere platform, when they navigate to the Interactive Weather Forecast Dashboard, then they should see a clear and interactive display of weather forecasts including temperature trends and precipitation probabilities for the upcoming week.

Farmers need to visualize optimal weather days for planting and harvesting activities using the dashboard.

Given that the user is on the Interactive Weather Forecast Dashboard, when they view the graphical representations of the weather data, then they should be able to identify and highlight which days are optimal for planting and harvesting, clearly marked in the visualizations.

Users want to receive alerts for extreme weather conditions affecting their farming operations.

Given that a user has set their location in the Interactive Weather Forecast Dashboard, when there is a prediction of extreme weather (such as a storm or frost), then the user should receive a timely alert through the platform indicating the event and recommended actions to take.

Farmers want to compare current weather data with previous weeks to make informed decisions about irrigation practices.

Given that the Interactive Weather Forecast Dashboard includes historical weather data, when the user selects a past week for comparison, then the dashboard should display the past weather conditions alongside current forecasts, allowing the user to analyze trends.

Users are looking for a mobile-friendly version of the Interactive Weather Forecast Dashboard to access it on-the-go.

Given that the user opens AgriSphere on a mobile device, when they access the Interactive Weather Forecast Dashboard, then the layout should adapt to the mobile screen, providing full functionality and readability without loss of information.

Farmers want to customize the dashboard to show specific weather parameters relevant to their crops.

Given that users can customize their dashboard view, when they select specific weather parameters (e.g., humidity, wind speed, UV index) to display, then those parameters should be instantly integrated into the dashboard's main view without requiring a refresh.

Users aim to share weather forecasts and insights with team members directly from the dashboard.

Given that the user is on the Interactive Weather Forecast Dashboard, when they choose to share a specific weather forecast view with team members, then they should have the ability to send an email or messaging link directly from the dashboard that includes the necessary details of the forecast.

Historical Weather Data Analysis

User Story: As a farmer, I want to analyze historical weather data so that I can understand past trends to better plan for future planting and harvesting seasons.
Description: This requirement involves the development of a feature that provides access to historical weather data for specific locations, allowing users to analyze past weather patterns and their impact on crop yields. By utilizing this data, farmers can make better-informed decisions when planning for future seasons. The analysis will focus on key factors such as rainfall patterns, temperature fluctuations, and their correlation with crop performance. This feature is important for helping users understand seasonal trends and prepare accordingly, enhancing strategic planning and risk management for their agricultural practices.
Acceptance Criteria: User accesses the Historical Weather Data Analysis feature to determine rainfall patterns in their area for the last five years.

Given the user is on the Historical Weather Data Analysis page, when they select a specific location and a date range of five years, then they should see a detailed report of rainfall patterns including total rainfall, average rainfall per month, and any significant drought events.

User utilizes historical weather data to compare temperature fluctuations and their impact on crop performance.

Given the user is analyzing historical weather data, when they select temperature data and crop yield data for the same time periods, then they should be able to generate and view a comparative analysis report that shows correlations between temperature changes and crop yields.

User generates seasonal trend reports based on historical weather data to aid in planning for the upcoming planting season.

Given the user inputs historical data for the past three years including temperature and rainfall, when they request a seasonal trend report, then they should receive a comprehensive report that includes seasonal averages, risks, and recommendations for the upcoming season.

User wants to export the historical weather data analysis to share with their team.

Given the user has accessed the historical weather data analysis, when they click on the export button, then they should receive a downloadable file in CSV format containing all the displayed weather data and analyses.

User needs to view historical weather data on a graphical dashboard for better visualization.

Given the user is on the Historical Weather Data Analysis feature, when they opt for graphical representation, then they should see interactive charts and graphs displaying historical weather data trends over the selected time period.

User requires insight into the historical weather conditions that led to lower crop yields last season.

Given the user is examining the historical data for the past season, when they filter the data by crop type and season, then they should receive contextual insights that highlight weather conditions that negatively impacted crop yields.

Geolocation-based Weather Customization

User Story: As a farmer, I want weather updates that are customized to my specific location so that I can accurately manage my irrigation and other farm activities according to local conditions.
Description: This requirement seeks to implement a geolocation feature that tailors weather updates and alerts based on the user's specific farm location. The platform will utilize GPS data to provide hyper-localized weather information, ensuring that users receive the most relevant data for their operations. This feature enhances the effectiveness of weather insights, as conditions can vary significantly within short distances in agricultural settings. By customizing weather information to the user's location, it promotes precision in farming practices, helping farmers to optimize irrigation and other resource usage specific to their unique geographic conditions.
Acceptance Criteria: User accesses the AgriSphere platform and enables geolocation tracking to receive customized weather updates for their specific farm location.

Given the user has enabled geolocation, When the user requests weather updates, Then the system should provide localized weather information based on the user's GPS coordinates.

The user schedules automated irrigation based on the geolocation-based weather insights provided by AgriSphere.

Given localized weather data is available, When the rain forecast indicates a 70% chance of rain within the next 48 hours, Then the system should automatically adjust the irrigation schedule to prevent unnecessary water usage.

A farmer receives a weather alert about an impending drought in their specific area through the AgriSphere platform.

Given the user’s farm location is known, When a severe drought warning is issued by the weather service, Then the user should receive a notification via the platform and/or SMS about the drought conditions within 30 minutes of the alert being issued.

The user reviews past weather data for their specific location to analyze trends and optimize future crop planning.

Given the user selects the historical weather data feature, When the user views weather patterns, Then the data displayed should reflect at least the past 5 years of weather conditions specific to their geolocation.

A user is utilizing the mobile version of AgriSphere while on-site at their farm to check current weather conditions via geolocation.

Given the user accesses the platform on a mobile device, When the geolocation feature is activated, Then the current temperature, humidity, and rainfall data should update automatically based on the user's current GPS location within 2 minutes.

The farmer wants to adjust pest management strategies based on localized weather patterns provided through the geolocation feature.

Given the localized weather forecast indicates increased humidity levels and warmer temperatures for the upcoming week, When the user reviews pest prediction modeling, Then the system should highlight specific pest threats relevant to the forecasted conditions in the user's area.

Soil Moisture Monitoring

Utilizing IoT sensors, this feature continuously tracks soil moisture levels across the field. It supplies farmers with detailed insights into moisture content, enabling them to tailor irrigation practices for specific areas based on actual need, preventing over- or under-watering, which leads to healthier plants and reduced water usage.

Requirements

Real-Time Soil Moisture Alerts

User Story: As a farmer, I want to receive real-time alerts when soil moisture levels fall outside my predefined thresholds so that I can immediately adjust my irrigation practices to optimize water usage and ensure healthy crops.
Description: This requirement involves the development of a real-time alert system that notifies farmers of significant changes in soil moisture levels detected by IoT sensors. These alerts will be customizable based on user-defined thresholds, allowing for immediate action to be taken. The system will enhance user experience by integrating smoothly with the existing dashboard, providing users with timely advice and enabling proactive irrigation management. This feature will significantly reduce water waste by ensuring farmers are informed instantly about moisture level fluctuations, thus optimizing water usage and improving crop health.
Acceptance Criteria: Notification of Moisture Level Drop Below User-Defined Threshold

Given the user has configured a threshold for soil moisture levels, when the moisture level drops below this threshold, then an alert should be sent to the user's mobile app and dashboard within 5 minutes.

Customization of Alert Thresholds by Users

Given the user is on the alert settings page, when they set or adjust moisture level thresholds, then the changes should be saved, and confirmation should be displayed immediately.

Integration with Existing Dashboard Features

Given the user is logged into the AgriSphere dashboard, when they receive a soil moisture alert, then the alert should include real-time data on the current moisture level and a recommended action.

User Acknowledgment of Alerts

Given a moisture alert notification is received, when the user acknowledges the alert, then the acknowledgment should be recorded, and the alert status should update in the system.

Historical Alert Data Accessibility

Given the user accesses the alert history section, when they review past moisture alerts, then they should see a timeline of alerts with timestamps and corresponding moisture levels.

Escalation of Alerts for Urgent Situations

Given the user has not acknowledged an alert within 30 minutes, when multiple alerts are triggered due to extreme moisture level changes, then a second alert should be sent via SMS in addition to the app notification.

Feedback Mechanism for Alert Effectiveness

Given the user has received a moisture alert, when they provide feedback on the alert's helpfulness, then this feedback should be captured and reflected in the user's dashboard analytics.

Moisture Analytics Dashboard

User Story: As a farmer, I want an analytics dashboard that shows historical soil moisture data and trends so that I can make informed decisions about my irrigation strategies based on past experiences.
Description: The Moisture Analytics Dashboard requirement includes the creation of a comprehensive analytics interface that visualizes soil moisture data over time. This dashboard will display trends, averages, and comparisons across different sections of the field, and incorporate advanced graphical representations for better analysis. By integrating this tool within AgriSphere, users will have access to actionable insights that guide them on optimal irrigation practices, ultimately leading to effective water management and enhanced crop productivity. The feature aims to support data-driven decision-making for farmers, fostering sustainability and efficiency in agricultural practices.
Acceptance Criteria: Soil moisture data visualization on the dashboard.

Given that I am logged into the AgriSphere platform, When I navigate to the Moisture Analytics Dashboard, Then I should see a visual representation of soil moisture levels over time for each section of the field, including trend lines and average values.

Comparison feature for moisture levels in different sections of the field.

Given that I am viewing the Moisture Analytics Dashboard, When I select two or more sections of the field for comparison, Then I should see a side-by-side comparison of moisture levels and trends displayed clearly on the dashboard.

Data accuracy verification on moisture readings.

Given that the moisture sensors are operational, When I view the Moisture Analytics Dashboard, Then the displayed moisture data should match the readings from the IoT sensors within a 5% variance.

User alerts for critical moisture levels.

Given that the system detects moisture levels below a specified threshold for more than 24 hours, When I access the Moisture Analytics Dashboard, Then I should receive an alert notification prompting me to assess irrigation needs for that section of the field.

Historical data analysis for moisture trends.

Given that I am on the Moisture Analytics Dashboard, When I select a date range for historical data analysis, Then I should be able to visualize moisture trends for that range and view average moisture levels within that time frame.

Integration of satellite imagery for context.

Given that I am on the Moisture Analytics Dashboard, When I request to overlay satellite imagery with moisture data, Then I should see a map representation that combines soil moisture levels with satellite views of the field, allowing for contextual analysis.

Mobile compatibility of the Moisture Analytics Dashboard.

Given that I access the Moisture Analytics Dashboard on a mobile device, When I navigate through the dashboard, Then all features and data should be fully accessible and displayed in a user-friendly manner suitable for mobile screens.

Mobile App Integration for Soil Moisture Data

User Story: As a farmer, I want to access soil moisture data through a mobile app, so that I can monitor my fields remotely and make timely irrigation decisions even when I am not physically present.
Description: This requirement focuses on developing a mobile application that allows farmers to track soil moisture levels remotely. The mobile app will sync with the IoT sensors to provide up-to-date soil moisture information, enabling farmers to monitor conditions from anywhere. Users will benefit from having this accessibility, especially when managing multiple fields or during travel. Additionally, the app will feature push notifications for alerts regarding moisture levels and irrigation suggestions. This mobile integration aims to enhance the usability and accessibility of AgriSphere, empowering farmers to optimize their irrigation practices on-the-go.
Acceptance Criteria: Mobile app user receives real-time soil moisture data while away from the farm to make timely irrigation decisions.

Given that the user has installed the AgriSphere mobile app and configured their IoT sensors, When the soil moisture level changes, Then the user receives an alert notification on their mobile device within 5 minutes of the change.

User views the soil moisture map of their fields on the mobile app while traveling to assess irrigation needs.

Given that the user is logged into the AgriSphere mobile app, When the user selects the 'Soil Moisture' feature, Then a detailed map of the soil moisture levels for all fields is displayed, showing different moisture levels in at least 3 color-coded ranges.

User receives push notifications when soil moisture levels drop below a predefined threshold to prevent irrigation issues.

Given that the user has set a moisture threshold for their fields, When the soil moisture level falls below this threshold, Then the user receives a push notification alerting them to irrigate the affected area.

User accesses historical moisture data through the mobile app to improve future irrigation planning.

Given that the user is on the 'Historical Data' page of the AgriSphere mobile app, When the user selects a date range, Then the historical soil moisture data is displayed in a graphical format for that specific time period.

User updates irrigation settings directly from the mobile app based on received moisture data.

Given that the user has access to both the moisture data and the irrigation settings in the mobile app, When the user adjusts the irrigation settings, Then the changes are saved and confirmed immediately within the app with a success message displayed.

User integrates the mobile app with their IoT sensors to ensure seamless data synchronization.

Given that the user has successfully connected their IoT sensors to the AgriSphere mobile app, When the app is opened, Then the soil moisture data from the sensors is displayed correctly without any delays or errors.

Irrigation Scheduling Recommendations

User Story: As a farmer, I want to receive irrigation scheduling recommendations based on real-time soil moisture levels and weather forecasts, so that I can efficiently manage my irrigation systems and conserve water while maximizing crop yield.
Description: This requirement entails the development of an intelligent recommendation system that uses soil moisture data to suggest optimal irrigation scheduling times for specific areas of a field. By analyzing current moisture levels, weather forecasts, and crop water needs, the system will generate automated irrigation schedules tailored to different zones within the farm. This feature will facilitate precision irrigation, conserve water resources, and contribute to maximizing crop yield and health. Integration with existing systems will ensure users can implement these recommendations easily, enhancing the overall functionality of the AgriSphere platform.
Acceptance Criteria: Smart Irrigation Recommendation based on Soil Moisture and Weather Data

Given a farm with varying moisture levels, when the system analyzes real-time soil moisture data, weather forecasts, and crop types, then it should provide tailored irrigation scheduling recommendations for each zone of the farm reflecting optimal watering times and amounts.

User Interface for Viewing Recommendations

Given that a user is logged into the AgriSphere dashboard, when they navigate to the Irrigation Scheduling Recommendations section, then they should see a visually clear representation of recommended irrigation times and durations for each field zone, along with moisture data and weather forecasts.

Integration with Existing Irrigation Systems

Given that the irrigation scheduling recommendations are generated, when the user opts to apply the recommendations, then the system should seamlessly interface with existing irrigation systems, triggering irrigation events according to the recommendations without errors.

Notification System for Irrigation Alerts

Given that the irrigation schedule is created, when the scheduled time for irrigation approaches, then the user should receive a notification via the AgriSphere app, reminding them to check and prepare for irrigation based on the recommendations.

Historical Performance Tracking

Given that irrigation scheduling recommendations were implemented over a growing season, when the user accesses the performance tracking feature, then they should be able to view historical data on crop yield and water usage metrics to evaluate the effectiveness of the irrigation recommendations.

User Feedback on Recommendations Accuracy

Given that recommendations have been provided and irrigation has been carried out, when the user provides feedback on their effectiveness, then the system should allow users to rate the accuracy and relevance of the recommendations, which will be used to improve future suggestions.

Soil Moisture Level Historical Trends Analysis

User Story: As a farmer, I want to analyze historical soil moisture levels to evaluate the effectiveness of past irrigation strategies so that I can improve future practices and better adapt to changing environmental conditions.
Description: This requirement addresses the need for a feature that allows users to analyze historical soil moisture levels over season and crop cycles. The analysis tool will provide insights into moisture retention and usage patterns, allowing farmers to assess the effectiveness of their irrigation strategies over time. By presenting users with detailed reports and visualizations, this tool aims to empower farmers with knowledge to refine their practices, adapt to changing conditions, and implement improvements in their irrigation approaches. The integration will be user-friendly and accessible through the AgriSphere platform, contributing to long-term sustainability in farming practices.
Acceptance Criteria: Soil Moisture Level Historical Trends Analysis for Seasonal Crop Evaluations

Given a user accesses the soil moisture historical trends analysis tool, when the user selects a crop type and specific growing season, then the tool should generate a report displaying moisture levels, usage patterns, and visualizations for that crop season, with data points available for at least five historical years.

Comparative Analysis between Irrigation Strategies

Given a user inputs data for multiple irrigation strategies used over different crop cycles, when the user requests a comparative analysis, then the tool should provide visual comparisons of moisture retention and crop yield outcomes for each strategy deployed, allowing for data-driven decisions.

User Alerts for Anomalies in Soil Moisture

Given the soil moisture monitoring system detects unusual moisture levels, when an anomaly occurs, then the system should trigger an alert to the user via the AgriSphere dashboard, detailing the specific area affected and the recommended action to take.

Exporting Historical Data for External Analysis

Given a user wants to analyze soil moisture data outside of AgriSphere, when the user selects the export option, then the tool should allow the user to download soil moisture historical data in CSV format, retaining all relevant metrics for external applications.

User-Friendly Interface for Data Interpretation

Given a user accesses the soil moisture historical trends analysis feature, when the user navigates the interface, then all elements should be intuitive and require no more than three clicks to access detailed insights and visualizations, enhancing overall user experience.

Integration with IoT Devices for Real-Time Updates

Given the user is utilizing IoT sensors for real-time moisture tracking, when soil moisture levels change, then the historical trends analysis tool should automatically update with the new data, ensuring users are always working with the most current information.

Crop-Specific Requirements

This function allows users to input or select specific crop types, receiving tailored irrigation recommendations based on the unique requirements of each plant. By using crop growth stages and individual water needs, this feature enhances water efficiency and promotes superior crop yields through precise irrigation.

Requirements

Crop Type Selection

User Story: As a farmer, I want to select my specific crop type so that I can receive precise irrigation recommendations tailored to my crop’s unique needs.
Description: This requirement mandates a user-friendly interface allowing users to select or input their specific crop types seamlessly. The system should provide a robust database of various crops, along with their growth stages and individual water needs. This functionality is integral, as it serves as the foundation for tailoring irrigation recommendations and ensuring user satisfaction by enhancing the decision-making power of farmers and agricultural businesses. A systematic categorization of crops will improve usability and ensure accurate recommendations for irrigation based on selected crops.
Acceptance Criteria: User selects a crop type from a dropdown menu during the initial setup of their AgriSphere account.

Given the user is on the crop selection page, when they click on the dropdown menu, then they should see a list of at least 50 different crop types to choose from.

User inputs a custom crop type that is not listed in the predefined dropdown options.

Given the user is on the crop selection page, when they select 'Other' and input a custom crop name, then the system should accept the input and add it to the user's crop list for future reference.

User wants to receive irrigation recommendations tailored to their selected crop.

Given the user has selected a crop type and its growth stage, when they navigate to the irrigation recommendations page, then they should receive specific irrigation instructions based on the selected crop's water requirements.

User attempts to submit the crop selection without making a choice.

Given the user is on the crop selection page, when they attempt to proceed without selecting a crop, then an error message should be displayed indicating that a crop must be selected to continue.

User needs to view the detailed growth stages and water needs for a selected crop.

Given the user has selected a specific crop type, when they click on the crop's information icon, then a modal should display the growth stages and individual water needs for that crop in a clear format.

User switches between different crop types and checks the irrigation recommendations.

Given the user has multiple crop types added, when they select a different crop type from the list, then the irrigation recommendations should update dynamically to reflect the new selection without page reload.

User wants to remove a crop type from their selection.

Given the user has selected a crop type, when they click on the 'Remove' button next to the crop type, then the crop type should be removed from their selection and not appear in the list of selected crops anymore.

Growth Stage Tracking

User Story: As a farmer, I want to track the growth stages of my crops so that I can optimize irrigation based on the specific water needs of each stage.
Description: This requirement entails implementing an automated tracking system that monitors the growth stages of selected crops based on user input and environmental data. By analyzing factors such as weather patterns, soil moisture, and crop development timelines, the system will enhance irrigation recommendations tuned to each growth stage. This personalized crop monitoring not only improves water efficiency but also maximizes yield by ensuring that crops receive the right amount of water at the right time, thus significantly enhancing overall productivity.
Acceptance Criteria: User inputs crop type and growth stage for a tomato plant and requests irrigation recommendations.

Given the user selects 'Tomato' as the crop type and inputs the growth stage as 'Flowering', When the system processes the input, Then it should provide specific irrigation recommendations, including water volume and frequency, tailored to the flowering stage of the tomato.

Environmental data such as temperature and soil moisture is received and used to adjust irrigation recommendations.

Given the system receives updated environmental data indicating a soil moisture level below the defined threshold, When this data is processed, Then the system must automatically adjust the irrigation recommendation to increase water output for the current crop growth stage.

User checks the growth stage tracking history for a selected crop.

Given the user accesses the growth stage tracking feature for a selected crop, When the user views the history, Then the system should display a chronological list of growth stages with corresponding dates and any adjustments made to irrigation recommendations.

System processes multiple crops with varying growth stages entered by the user.

Given the user inputs different crops (e.g., Corn at 'V6', Wheat at 'Tillering') and their respective growth stages, When the system calculates irrigation recommendations, Then it should provide a list of tailored irrigation suggestions based on each crop's specific growth stage and water needs.

User receives notifications for optimal irrigation adjustments based on growth stage and environmental conditions.

Given the system identifies a change in environmental conditions that necessitates an irrigation adjustment, When this condition is met, Then the user should receive a notification alerting them of the required change for optimal crop health and water efficiency.

User interface allows seamless input of growth stages by the user with validation checks in place.

Given the user attempts to input a growth stage, When they enter an invalid stage for the selected crop, Then the system should display an error message indicating the valid growth stages for that crop.

Automated Irrigation Recommendations

User Story: As a farmer, I want to receive automated irrigation recommendations so that I can save time and ensure my crops get the right amount of water efficiently.
Description: This requirement focuses on the development of an intelligent recommendation engine that provides users with automated irrigation scheduling based on the selected crop types and their growth stages. By integrating external data sources such as weather forecasts and soil moisture sensors, the engine should analyze variables and generate actionable irrigation plans that detail timing and quantity of water required. This capability not only supports the efficient use of water resources but also simplifies the farmers' decision-making process, allowing them to focus on other essential aspects of farming.
Acceptance Criteria: User inputs a specific crop type into the AgriSphere platform and selects a growth stage for precise irrigation recommendations.

Given the user has selected a crop type and growth stage, when the recommendation engine processes the inputs with current weather data and soil moisture, then the system should provide an irrigation schedule detailing the amount and timing of water needed.

The user retrieves the irrigation recommendations through the dashboard to plan their watering schedule for the upcoming week.

Given that an irrigation recommendation has been generated for the selected crop and growth stage, when the user accesses the dashboard, then the irrigation recommendation should be easily visible and provide actionable insights for the next seven days.

The user receives notifications about changes in the irrigation schedule due to updated weather forecasts or soil moisture levels.

Given that external data sources (weather forecasts, soil moisture) have been updated, when the system recalibrates the irrigation recommendations, then the user should receive a notification indicating the changes in the watering schedule and rationale behind it.

The user wants to review historical irrigation recommendations for analysis and improvement of future planning.

Given that historical data is available, when the user accesses the historical irrigation records, then they should be able to view past irrigation recommendations and correlate them with crop growth outcomes in an easy-to-understand format.

A user needs to compare the current irrigation recommendations with their previous plans to evaluate performance.

Given that previous irrigation plans are accessible, when the user selects a previous plan to compare with the current recommendation, then the system should generate a comparison report highlighting differences in water usage, crop yield, and other relevant metrics.

A farm manager wishes to customize irrigation parameters based on unique regional climatic conditions.

Given the user has access to regional climate data, when the user customizes irrigation parameters, then the system should adapt the recommendations accordingly and provide a tailored irrigation schedule reflecting these adjustments.

User Alerts and Notifications

User Story: As a farmer, I want to receive alerts for irrigation schedules so that I can act promptly to ensure my crops receive adequate water without delay.
Description: This requirement establishes a notification system that alerts users of critical irrigation actions, such as when to irrigate based on real-time data analysis and crop growth stages. Users should receive customizable alerts through various channels, such as email or SMS. This feature enhances user engagement and responsiveness, allowing farmers to take timely actions that benefit crop health and productivity. Implementing this requirement will cultivate a proactive farming approach and reduce the risks associated with under or over-watering crops.
Acceptance Criteria: User receives a notification for irrigation when the crop growth stage reaches its predefined threshold.

Given the system has real-time data about the crop growth stage, when the growth stage threshold is reached, then the user receives a notification through the chosen channel (SMS or email).

User can customize the notification preferences for irrigation reminders.

Given that the user is on the notification settings page, when they select or modify their preferred channels (SMS or email) and set timing preferences, then the system successfully saves those customization options without errors.

Notifications are sent during critical irrigation periods to ensure timely actions are taken.

Given the weather predictive model indicates that rain is unlikely for the next 48 hours, when the irrigation schedule indicates water is required, then the user should receive a reminder notification at least 2 hours before the optimal irrigation time.

User receives alerts based on real-time soil moisture levels.

Given the system consistently monitors soil moisture levels, when the moisture level drops below the defined threshold for the corresponding crop, then the user receives an immediate alert via their preferred communication method.

User can deactivate notifications for specific crops or during specific times.

Given the user is in the notification management section, when they choose to deactivate notifications for a particular crop or set a quiet period, then the system confirms the deactivation and ensures no further alerts are sent during the specified times or for that specific crop.

Notifications include actionable insights and irrigation tips.

Given that a notification for irrigation is triggered, when the user receives the notification, then it should also include actionable insights related to the irrigation decision, such as recommended water amounts and potential impacts on crop health.

Users can review past notifications and actions taken.

Given the user navigates to their notification history section, when they access it, then they should see a detailed log of all past notifications received, including timestamps and user responses or actions taken based on those alerts.

Feedback Loop for Continuous Improvement

User Story: As a farmer, I want to provide feedback on irrigation recommendations so that the service can improve and better meet my needs over time.
Description: This requirement involves creating a feedback system where users can share their experiences and outcomes related to the irrigation recommendations provided by the system. By collecting user feedback, the platform can continuously refine and improve its algorithms, ensuring that the recommendations evolve with user needs and environmental changes. This iterative process not only improves the quality of service but also fosters user trust and satisfaction as they see tangible improvements based on their input.
Acceptance Criteria: User submits feedback after using the irrigation recommendations for a specific crop type.

Given a user has implemented irrigation recommendations for a crop, when they submit feedback through the feedback form, then the feedback is successfully recorded in the system and acknowledged to the user.

The system aggregates user feedback to evaluate the effectiveness of the irrigation recommendations.

Given multiple users have submitted feedback regarding irrigation recommendations, when the feedback is aggregated, then the system generates a report detailing average user satisfaction and areas for improvement.

A user receives a notification for providing feedback based on their harvested crop results.

Given the user has finished harvesting their crops, when the system analyzes the irrigation effectiveness, then the user receives a notification prompting them to provide feedback on their results.

The system updates irrigation algorithms based on collected user feedback.

Given the system has collected sufficient user feedback, when the updates are processed, then the irrigation algorithms reflect improvements aimed at enhancing water efficiency for specific crops.

Users can view how their feedback has influenced system recommendations over time.

Given a user has provided feedback, when they access their account dashboard, then they see a section that displays changes in irrigation recommendations and improvements implemented based on user feedback.

The platform monitors user feedback for trends related to crop performance.

Given the platform has received multiple feedback submissions, when it analyzes the data, then it identifies trends indicating recurring issues or successes with specific crop irrigation recommendations.

Integration with IoT Devices

User Story: As a farmer, I want to connect my IoT devices to AgriSphere so that I can receive real-time irrigation recommendations based on actual soil and weather conditions.
Description: This requirement outlines the need to integrate AgriSphere with existing IoT devices, such as soil moisture sensors and weather stations. By establishing connections with these devices, the platform can continuously gather real-time data, thereby enhancing the accuracy of irrigation recommendations and enabling users to monitor conditions dynamically. This integration is essential for promoting data-driven decision-making, ensuring efficient resource utilization, and supporting the overarching goal of precision farming.
Acceptance Criteria: Integration of soil moisture sensors with AgriSphere's dashboard to provide real-time moisture level insights.

Given that the soil moisture sensors are installed and operational, when users access the AgriSphere dashboard, then they should see real-time soil moisture readings and recommendations for irrigation based on those readings.

Utilization of weather stations to access local weather data for irrigation scheduling within AgriSphere.

Given that the weather station is connected, when there is a change in local weather conditions (e.g., rain or high temperatures), then AgriSphere should automatically update irrigation recommendations accordingly.

Continuous data collection from both soil moisture sensors and weather stations for dynamic monitoring in AgriSphere.

Given that the IoT devices are integrated, when a user reviews the system logs, then they should find accurate historical data recorded from the soil moisture sensors and weather stations over time.

User notifications for abnormal sensor readings in AgriSphere to prompt immediate action.

Given that soil moisture levels fall outside the optimal range, when the sensors trigger an alert, then the user should receive a notification through the AgriSphere app detailing the issue and suggested actions.

Performance testing of the real-time data integration to ensure it meets performance benchmarks in AgriSphere.

Given a predetermined performance benchmark (e.g., data retrieval time less than 5 seconds), when the system is queried for sensor data, then the retrieval time must meet or exceed the benchmark.

User interface displayed accurate data reflection and seamless user experience while interacting with IoT data in AgriSphere.

Given that a user accesses the IoT data display, when they interact with the interface, then all data must load correctly without lag, and display should be visually clear and informative.

Irrigation Scheduling Optimization

This tool automates irrigation scheduling by analyzing real-time data from weather forecasts and soil moisture readings. It ensures that irrigation is applied at the most effective times, reducing labor and energy costs while maximizing water efficiency, thus fostering sustainable farming practices.

Requirements

Real-time Weather Integration

User Story: As a farmer, I want to receive real-time weather updates so that I can adjust my irrigation schedule efficiently and conserve water while ensuring optimal crop health.
Description: This requirement involves integrating a robust weather API into the AgriSphere platform, allowing it to collect and analyze up-to-date weather forecasts. By incorporating this data, the system can enhance its irrigation scheduling optimization features, enabling users to adjust their irrigation plans based on real-time conditions such as rainfall predictions and temperature fluctuations. This integration is crucial for maximizing water efficiency and ensuring that irrigation is only applied when necessary, ultimately leading to reduced costs and improved sustainability.
Acceptance Criteria: Integration of real-time weather data with the irrigation scheduling optimization feature.

Given that the weather API is fully integrated, when a user accesses the irrigation scheduling tool, then the tool should display updated weather forecasts including rainfall predictions and temperature changes for the next 7 days.

Adjusting irrigation schedules based on real-time weather data.

Given that real-time weather data is available, when it predicts rainfall within the next 24 hours, then the irrigation scheduling tool should automatically postpone any scheduled irrigation within that timeframe.

User notifications for weather alerts affecting irrigation.

Given that the weather API provides severe weather alerts, when a weather warning is issued, then the user should receive a notification through the AgriSphere dashboard and via email regarding the impact on irrigation scheduling.

Historical weather data analysis for irrigation scheduling optimization.

Given that historical weather data is available, when a user requests to analyze past weather trends, then the system should generate a report showing the correlation between past weather conditions and irrigation effectiveness over the last three crop cycles.

User interface for configuring weather preferences in irrigation.

Given that a user accesses the irrigation settings, when they try to adjust their weather data preferences, then they should be able to select specific weather parameters (e.g., rainfall thresholds, temperature ranges) to trigger irrigation adjustments.

System performance and accuracy testing with the weather API integration.

Given that the weather API is integrated, when the system retrieves weather data, then the accuracy of the forecasts should meet a benchmark of 90% based on historical accuracy metrics.

Real-time updates during operational hours based on weather changes.

Given that the weather API is operational, when there are significant changes in real-time weather (e.g., a sudden drop in temperature), then the irrigation scheduling tool should reflect these changes within 5 minutes.

Soil Moisture Sensor Compatibility

User Story: As a farm manager, I want to connect my soil moisture sensors to AgriSphere so that I can automate irrigation scheduling based on accurate data and optimize water usage.
Description: This requirement is for the AgriSphere platform to support integration with various soil moisture sensors. By allowing users to connect their existing sensors or purchase new ones, the platform can automatically gather and analyze soil moisture levels. This functionality will enhance the irrigation scheduling tool, providing precise data to determine when and how much to irrigate, thereby promoting sustainable farming practices and improving crop yield quality.
Acceptance Criteria: Integration of Various Soil Moisture Sensors with AgriSphere

Given that the user has a compatible soil moisture sensor, when they connect it to the AgriSphere platform, then the system should successfully recognize the sensor and display its data on the dashboard within two minutes.

Real-time Data Accuracy from Soil Moisture Sensors

Given that a soil moisture sensor is connected, when the system retrieves data, then the moisture level reported should be within 5% accuracy compared to a calibrated manual measurement taken from the same location.

Automated Irrigation Scheduling Based on Soil Moisture Data

Given that soil moisture data is available, when the moisture level falls below the predefined threshold, then the irrigation scheduling tool should automatically recommend an irrigation action to the user based on optimal timing and duration.

User Interface for Managing Soil Moisture Sensors

Given that a user accesses the sensor management section of AgriSphere, when they view the connected sensors, then they should see a list of all sensors, along with their status (active/inactive) and last updated timestamp.

Notifications for Low Soil Moisture Levels

Given that the soil moisture level is below the threshold value, when the sensor data is updated, then the user should receive a notification via the app and email alerting them of the low moisture condition.

Data Logging and Historical Trends for Soil Moisture

Given that a soil moisture sensor has been connected for at least one week, when the user accesses the historical data report, then they should see a graph that plots soil moisture levels over time, enabling trend analysis.

User Manual and Tutorials for Sensor Integration

Given that a user is unsure how to integrate their sensor with AgriSphere, when they access the help section, then they should find easily accessible user manuals and tutorial videos that guide them through the integration process step-by-step.

Automated Irrigation Reports

User Story: As a user, I want to receive automated irrigation reports so that I can evaluate my water usage and improve my irrigation strategies based on data-driven insights.
Description: This requirement focuses on generating automated irrigation reports based on the data collected from weather forecasts, soil moisture levels, and irrigation schedules. These reports will provide farmers with insights into their irrigation practices, highlighting water usage, efficiency, and potential areas for improvement. By offering these analytical reports, the platform empowers farmers to make informed decisions that lead to more sustainable irrigation practices and ultimately better resource management.
Acceptance Criteria: Farmers will use the AgriSphere platform to generate automated irrigation reports after a complete irrigation cycle and rainfall events over the last month.

Given the user selects a specific date range for the report, when the report is generated, then it should include the total amount of water used, irrigation efficiency percentage, and any discrepancies from the planned schedule.

Farmers want to assess the effectiveness of their irrigation practices during a drought period.

Given the user selects drought conditions as a filter, when the report is generated, then it shows the historical water usage and efficiency metrics specifically during the drought period, comparing them to non-drought periods.

Users need to receive recommendations for optimizing future irrigation based on historical data.

Given the user views the automated report, when the section for optimization recommendations is displayed, then it should provide at least three actionable insights based on the water usage trends and efficiency calculations.

An agricultural manager at a large farm reviews irrigation practices for compliance with sustainability standards.

Given the user generates a report for a specific field, when they review the report, then it should include compliance metrics such as total water consumption against conservation targets and best practices utilized during the reporting period.

Users utilize the platform to monitor changes in soil moisture related to different irrigation schedules.

Given the user runs the automated irrigation report, when they view the soil moisture data, then it should show detailed charts indicating moisture levels before and after irrigation events, highlighting efficacy and areas for improvement.

A farmer compares irrigation practices across multiple fields to identify best practices.

Given the user selects multiple fields for comparison, when the automated report is generated, then it should present a side-by-side analysis of water usage, efficiency metrics, and soil moisture readings for each selected field.

User Notifications for Irrigation Adjustments

User Story: As a farmer, I want to receive notifications about recommended changes to my irrigation schedule so that I can respond promptly to changing conditions and maintain crop health.
Description: The requirement entails implementing a notification system that alerts users when adjustments to their irrigation schedules are recommended based on changing weather conditions or soil moisture levels. This feature will ensure that farmers stay informed in real-time, allowing them to respond quickly to unforeseen changes, thus enhancing both the efficacy of their irrigation practices and the health of their crops.
Acceptance Criteria: User receives timely notifications for irrigation adjustments based on real-time weather changes and soil moisture levels.

Given that the user has enabled notifications, When the weather forecast indicates a significant change in precipitation or if soil moisture drops below a preset threshold, Then the user should receive an immediate alert via the AgriSphere dashboard and mobile app.

User can customize notification preferences for irrigation adjustments.

Given that the user is in the settings menu, When they select notification preferences, Then they should be able to choose the types of alerts they want to receive (e.g., severe weather alerts, soil moisture alerts) and set thresholds for irrigation adjustments.

User is notified when irrigation adjustments are made that could impact crop health.

Given that the system has detected conditions that necessitate an irrigation adjustment, When the notification is sent, Then it should include specific details about the adjustment (e.g., amount and timing of irrigation changes) and suggestions for crop health management.

User receives feedback on the effectiveness of past irrigation alerts.

Given that the user has received past notifications, When they review their irrigation alert history, Then they should see a summary of adjustments made and their observed impacts on crop health and water usage efficiency.

User can easily dismiss or acknowledge notifications regarding irrigation adjustments.

Given that a notification is received regarding irrigation adjustments, When the user interacts with the notification, Then they should have the option to dismiss it or acknowledge it, and their choice should be recorded in the system for future analysis.

User is alerted if the irrigation schedule remains unchanged after multiple notifications.

Given that the user has received multiple notifications about recommended irrigation adjustments, When the system detects no changes to the schedule, Then an escalation alert should be sent to the user suggesting immediate action to avoid potential crop damage.

User experiences no delay in receiving notifications during critical weather events.

Given that a critical weather event is occurring, When the system generates a notification regarding irrigation adjustments, Then the user should receive the notification within 5 minutes of the event being detected.

Mobile Access to Irrigation Dashboard

User Story: As a farmer, I want to access my irrigation dashboard on my mobile device so that I can manage my irrigation schedules and respond to changes while in the field.
Description: This requirement involves creating a mobile-friendly interface for the AgriSphere platform, enabling users to access their irrigation scheduling tools and dashboards on-the-go. By facilitating mobile access, users can monitor their irrigation schedules and make necessary adjustments from their smartphones, ensuring they can respond quickly to changes and optimize their irrigation practices anytime, anywhere.
Acceptance Criteria: User accesses the AgriSphere irrigation dashboard on their mobile device to monitor current moisture levels and upcoming irrigation schedules while attending a farm meeting.

Given the user is logged into the AgriSphere mobile interface, when they select the irrigation dashboard, then they should see real-time soil moisture readings and the next scheduled irrigation time displayed correctly with no loading errors.

A farmer on a field trip uses the AgriSphere mobile application to adjust irrigation schedules based on sudden weather changes detected in a nearby weather station.

Given the farmer is on the irrigation dashboard with a displayed weather forecast, when they change the irrigation schedule for today, then the system should update the irrigation plan and confirm the changes with an alert notification.

While traveling, a user attempts to access the AgriSphere irrigation dashboard on a low bandwidth mobile network.

Given the user is in an area with low bandwidth, when they load the irrigation dashboard, then the system should optimize data loading to display essential information (soil moisture and next irrigation time) without crashing or excessive loading times.

A user checks the irrigation dashboard early in the morning to prepare the daily operational schedule before heading to the fields.

Given the user has a stable internet connection, when they access the irrigation dashboard, then all data including soil moisture, upcoming forecast, and historical irrigation data should load within 5 seconds for efficient planning.

A farmer receives a notification about soil moisture levels being below the set threshold while out in the field, prompting them to access the irrigation dashboard on their mobile device.

Given the farmer receives a notification regarding low soil moisture, when they access the irrigation dashboard, then they should be able to see the specific field's moisture levels and adjust irrigation immediately with easy-to-use controls.

A user wants to review previous irrigation schedules and outcomes on their mobile device to assess the effectiveness of past irrigation decisions.

Given the user navigates to the historical data section of the irrigation dashboard, when they request historical irrigation data, then they should be presented with a clear timeline of past schedules and their associated crop yield results for comparison.

Water Usage Analytics

Offering in-depth analysis and reports on water usage patterns, this feature helps farmers evaluate the effectiveness of their irrigation strategies. By providing insights into historical and current water consumption, it aids in decision-making for future irrigation adjustments and resource management.

Requirements

Real-time Water Consumption Tracking

User Story: As a farmer, I want to see real-time data on my water usage so that I can adjust my irrigation strategies promptly and avoid over or under-watering my crops.
Description: This requirement mandates the system to continuously track and display real-time water consumption data from integrated IoT devices. By leveraging IoT sensors and smart meters, the feature will provide farmers with live updates on their water usage, enabling them to make immediate adjustments to their irrigation practices. This is crucial for optimizing resource use, minimizing waste, and making timely decisions during critical farming periods. It will also integrate smoothly with existing irrigation scheduling systems to enhance their effectiveness, ensuring that farmers have quick access to essential data whenever they need it.
Acceptance Criteria: User monitors real-time water consumption during peak irrigation hours to assess efficiency and adjust practices as needed.

Given that the user is logged into the AgriSphere platform, when they access the Water Usage Analytics dashboard, then they should see live updates of water consumption from IoT devices displayed in a clear graphical format with data refreshes occurring every minute.

User receives alerts when water consumption exceeds a predefined threshold, indicating potential leakage or inefficiency.

Given that the user has set a threshold for water consumption, when the real-time consumption data exceeds that threshold, then the user should receive an immediate alert notification both within the application and via email or SMS.

User reviews historical water consumption data to analyze trends over the past growing seasons and make informed irrigation decisions.

Given that the user selects the historical data view in the Water Usage Analytics feature, when they specify a date range for analysis, then they should receive a comprehensive report that includes visual charts comparing past water usage against crop yield data for the selected period.

User integrates the real-time water consumption tracking with existing irrigation scheduling systems for optimized resource management.

Given that the user has an existing irrigation scheduling system connected to AgriSphere, when they make adjustments to the irrigation schedule based on real-time water consumption data, then those adjustments should reflect in the irrigation system immediately and the system should confirm the successful update.

User accesses mobile version of AgriSphere to check real-time water consumption while working in the field.

Given that the user is using the mobile application of AgriSphere, when they navigate to the Water Usage Analytics section, then they should see an updated view of real-time water consumption data that is properly formatted for mobile display, with no loss of functionality compared to the desktop version.

User exports real-time water consumption data for reporting to stakeholders or compliance officers.

Given that the user is viewing real-time water consumption data on the platform, when they select the export option, then they should receive a downloadable file in CSV format that includes the latest data along with timestamps and IoT source identifiers.

User utilizes alerts to optimize water usage during critical growing periods as forecasted by weather services.

Given that the user has configured weather-related alerts in conjunction with the real-time water consumption tracking, when a forecast predicts rain during peak irrigation time, then the user should receive a notification recommending postponement of irrigation for that period.

Historical Water Usage Reports

User Story: As a farmer, I want to access historical reports on my water usage so that I can evaluate the effectiveness of my irrigation strategies over time and make informed decisions for future seasons.
Description: The system will need to generate comprehensive historical water usage reports that analyze trends and patterns over time. This feature will provide farmers with insights into how their irrigation strategies have performed seasonally, helping them understand the long-term implications of their water usage. The reports will include visual representations, such as graphs and charts, to illustrate fluctuations in water use during different periods, thus aiding in future planning and resource allocation decisions. This capability will help users to confidently transition to more effective water management practices.
Acceptance Criteria: Historical water usage report generation for seasonal analysis.

Given a user accesses the Historical Water Usage Reports feature, when they select a specific date range for the report, then the system generates a report that displays water usage trends for that period with graphical representations, including line graphs and bar charts.

User interaction with historical water usage reports.

Given a generated historical water usage report is displayed, when the user hovers over data points in the graphs, then the system displays detailed water consumption figures for the corresponding timeframe.

Exporting historical water usage reports.

Given a user has generated a historical water usage report, when they select the export function, then the system allows the user to download the report in PDF and CSV formats without any data loss or formatting issues.

Comparative analysis of water usage across seasons.

Given a user is viewing historical water usage reports, when they request a comparison between two different seasons, then the system displays a side-by-side comparison with visual indicators highlighting differences in water consumption.

User accessibility of historical reports through mobile devices.

Given a user accesses the AgriSphere platform on a mobile device, when they navigate to the Historical Water Usage Reports feature, then the system renders the reports responsively, maintaining usability and readability across different screen sizes.

Integration with external data sources for water usage insights.

Given the user requests a historical water usage report, when the system integrates data from local weather APIs, then the report includes correlations between water usage and weather conditions such as rainfall and temperature.

Alerts and recommendations based on historical water usage data.

Given a user reviews their historical water usage report, when the system identifies trends indicating excessive water usage, then it prompts the user with recommendations for optimizing irrigation strategies based on best practices.

Automated Insights and Alerts

User Story: As a farmer, I want to receive automated alerts about my water usage patterns so that I can quickly address any issues that might impact my crops' health and adjust my irrigation accordingly.
Description: This requirement specifies the development of an automated alert system that analyzes water usage patterns and sends notifications to users when anomalous behaviors are detected, such as excessive water consumption. By providing proactive alerts, the system will empower farmers to take immediate action when issues arise, potentially preventing crop damage due to flooding or under-watering. Additionally, these insights will help users optimize their irrigation schedules based on real-time weather conditions and water needs, thus improving overall efficiency and sustainability in water management practices.
Acceptance Criteria: Automated Notification for Excessive Water Consumption

Given a farmer uses AgriSphere and has configured their irrigation settings, when the system detects water usage exceeding the predefined threshold, then an automated alert should be sent to the user via SMS and email within 5 minutes of detection.

Alert for Sudden Changes in Water Usage Patterns

Given that the farmer has been using the platform for at least 7 days, when there is an abrupt change in water usage detected compared to the last 7 days' average, then the system should generate an alert detailing the changes and send it to the user's dashboard and via push notification.

Weekly Water Usage Summary Report

Given that the user has opted into receiving weekly reports, when the week ends, then the system should generate and email a comprehensive report summarizing the water usage patterns, highlighting any anomalies, and suggesting actionable insights for optimization.

Alert for Low Soil Moisture Levels

Given that the user has integrated soil moisture sensors within their irrigation system, when the sensor reports soil moisture levels below the critical threshold, then an alert should be generated and sent to the user indicating the need to adjust their irrigation settings.

Contextual Alerts Based on Weather Conditions

Given that the user has configured their weather preferences within AgriSphere, when the system predicts rain within the next 2 hours, then an automated alert should be sent to the user suggesting a temporary pause on irrigation to conserve water.

User Configuration of Alert Preferences

Given that the user is in the settings section of AgriSphere, when they configure their notification preferences regarding water usage alerts, then these settings should be saved and honored whenever alerts are triggered in the future.

User-Friendly Dashboard Integration

User Story: As a farmer, I want the Water Usage Analytics feature integrated into my main dashboard so that I can easily monitor and review my water usage data without having to switch between different sections of the platform.
Description: This requirement outlines the need for the Water Usage Analytics feature to be seamlessly integrated into the main user dashboard. The integration should allow farmers to access water usage data, historic reports, and alerts without navigating away from their primary work area. The dashboard should be designed with a user-friendly interface that presents data in an easily digestible format, including visual elements like charts and graphs. Enhancing visibility and accessibility of water analytics will encourage better user engagement and usage of the feature, leading to improved irrigation decisions based on comprehensive analysis.
Acceptance Criteria: Accessing Water Usage Analytics from the Dashboard

Given that a farmer is logged into their AgriSphere account, When they navigate to the user dashboard, Then they should see a clearly labeled section for Water Usage Analytics that displays the latest water usage data and historical trends.

Visual Representation of Data

Given that the Water Usage Analytics feature is integrated into the dashboard, When the user interacts with the section, Then they should see intuitive visual elements such as charts and graphs that summarize water usage patterns over specified periods.

Alerts for Irregular Water Usage

Given that a user has set up their irrigation preferences, When the system detects any irregularities in water usage, Then the user should receive an alert within the dashboard that outlines the specific issue and recommended actions.

Historical Report Access

Given that the user is on the Water Usage Analytics dashboard, When they select the option to view historical reports, Then they should be able to generate and view detailed reports on water usage for selected past periods.

User Engagement with Analytics Feature

Given that the Water Usage Analytics feature is live, When users access the dashboard within the first month of launching the feature, Then at least 75% of users should interact with the Water Usage Analytics section at least once during that period.

Responsiveness of Dashboard Elements

Given that the dashboard is being accessed on various devices, When the user views the Water Usage Analytics feature, Then the layout should adjust appropriately for different screen sizes without loss of data visibility or functionality.

Comparison to Historical Averages

User Story: As a farmer, I want to compare my current water usage to historical averages so that I can gauge the effectiveness of my irrigation methods and make necessary adjustments.
Description: This requirement calls for the development of a feature which enables farmers to compare their current water usage against historical averages from previous years. This comparative analysis will help farmers identify anomalies or improvements in their water usage strategies. By contextualizing current data within historical performance, users can better understand the effectiveness of their irrigation techniques and adjust accordingly. This functionality will also support ambitious sustainability goals by promoting conscious resource management backed by data-driven insights.
Acceptance Criteria: Comparison of Current Water Usage to Historical Averages for Each Farm Zone.

Given a farmer accesses the Water Usage Analytics feature during the irrigation planning stage, When they select a specific farm zone and a date range for historical averages, Then they should be able to view a graph comparing current water usage to the historical averages over the selected period.

Identification of Anomalies in Water Usage Patterns.

Given a farmer is reviewing their water usage data, When the system detects anomalies in the current usage pattern compared to historical averages, Then the system should alert the farmer with a notification detailing the specific zones and dates of concern.

User-Friendly Dashboard for Water Usage Comparison.

Given that a farmer navigates to the Water Usage Analytics dashboard, When they want to view the comparison between current and historical water usage, Then the dashboard should display a clear, concise comparison interface that includes charts and key metrics for easy understanding.

Exporting Historical Water Usage Reports.

Given a farmer has completed their analysis of water usage, When they choose to export the report, Then the system should allow them to download a customizable report in .csv and .pdf formats that details current and historical usage metrics.

Integration of Weather Impact on Water Usage.

Given a farmer observes their water usage data for a specific period, When they access additional information on weather conditions during that period, Then the system should provide an overlay in the analytics that shows how weather events (such as rainfall or drought) correlated with water usage levels.

Visual Indicators for Improvement Over Time.

Given a farmer uses the comparison feature regularly, When they access their analytics report over multiple periods, Then the system should visually indicate any improvements or decline in water usage efficiency with color-coded metrics and trend lines.

User Feedback on Water Usage Recommendations.

Given that a farmer reviews water usage insights, When the system provides recommendations based on historical comparisons, Then the farmer should be able to provide feedback on the recommendations, which the system will log for future analytics improvement.

Alerts & Notifications

Farmers receive instant alerts regarding critical changes in weather conditions or when soil moisture levels drop below a threshold. This feature ensures timely responses to dynamic environmental changes, helping users to safeguard their crops and optimize irrigation practices swiftly.

Requirements

Real-time Weather Alerts

User Story: As a farmer, I want to receive real-time weather alerts so that I can take timely actions to protect my crops and plan my agricultural activities more effectively, reducing potential losses due to adverse weather conditions.
Description: The Real-time Weather Alerts requirement ensures that farmers receive instantaneous notifications about critical weather changes, such as storms, frosts, and droughts, which could significantly impact their operations. By integrating this feature with weather forecasting services, AgriSphere will provide tailored alerts based on the specific geographical locations of the users. This not only helps farmers prepare for adverse weather conditions but also informs them about favorable weather patterns for optimizing their cultivation practices. The expected outcome is a reduction in crop losses due to unforeseen weather events and enhanced decision-making capabilities for resource allocation.
Acceptance Criteria: Farmers in a rural area expect to receive instant notifications on their mobile devices whenever there is a severe weather alert, enabling them to take prompt actions to protect their crops.

Given a severe weather alert is issued by the weather forecasting service, when the alert is generated, then the farmer receives a notification on their mobile device within 5 minutes of the alert being issued.

A farmer has set thresholds for various weather conditions. They need to ensure that alerts pertaining to their specified thresholds are received as per individual preferences.

Given a farmer has defined specific weather thresholds, when a weather condition exceeds these thresholds, then the system sends an alert specific to those conditions to the farmer’s chosen notification channel (e.g., SMS, email).

Farmers require localized weather alerts for their specific geographical areas to ensure that the alerts they receive are relevant to their specific farms.

Given a farmer's location is registered in the system, when a weather alert relevant to that geographical area occurs, then the farmer receives a tailored notification that includes details specific to their location.

Farmers want a historical log of weather alerts received to analyze trends and outcomes to improve future decision-making processes.

Given the system maintains a record of all weather alerts sent, when a farmer accesses their alert history, then they can view a list of all alerts received over the past 12 months, including dates and types of alerts.

Farmers need reassurance that the alerts they receive are reliable and come from trusted sources to make informed decisions about crop management.

Given the alert is generated, when the notification is sent to the farmer, then it must include the source of the weather data, and any potential reliability scores assigned to that alert by the system.

Farmers require the ability to test and customize their alert settings to suit their specific operational needs and preferences.

Given a farmer is in the settings menu of the AgriSphere platform, when they configure their alert preferences, then they can test the notifications and save settings that best fit their operational requirements.

Farmers need to be informed about favorable weather conditions that can enhance their farming practices as well as adverse ones.

Given there is favorable weather forecast data available, when conditions improve for planting or harvesting, then an alert is sent to the farmer suggesting optimal actions to take based on favorable weather patterns.

Soil Moisture Sensory Notification

User Story: As a farmer, I want to be notified when soil moisture levels drop below a certain threshold so that I can irrigate my crops effectively and prevent water stress, ensuring optimal yield.
Description: This requirement focuses on providing alerts when soil moisture levels fall below predetermined thresholds, based on data gathered from IoT sensors embedded in the fields. The Soil Moisture Sensory Notification feature will inform farmers about the status of soil hydration, prompting timely irrigation interventions. This feature plays a critical role in optimizing irrigation practices and sustaining water resources, especially in areas experiencing drought or water scarcity. The integration is crucial for promoting efficient water use and directly impacts crop health and yield.
Acceptance Criteria: Soil Moisture Level Notification Activation

Given that the soil moisture sensor has been installed in the field, when the moisture level falls below the predetermined threshold, then an alert notification is sent to the farmer's mobile device.

Real-Time Alert Delivery

Given that the soil moisture is detected below the set threshold, when the alert is generated, then the notification is delivered within 5 minutes to the farmer to ensure timely action.

Alert Customization Feature

Given that the farmer wants to optimize their irrigation strategy, when they set their preferred moisture threshold, then the system must allow the farmer to customize these threshold levels efficiently without technical support.

Notification Escalation Process

Given that the initial alert has been sent and no action has been taken by the farmer, when the moisture level remains low for more than 30 minutes, then a secondary alert is sent escalating the urgency of the situation.

Integration with Irrigation System

Given that a moisture alert has been generated, when the farmer's irrigation system is integrated, then the system should automatically initiate irrigation to bring levels back to the optimal range.

Historical Data Monitoring

Given that the soil moisture alerts have been recorded, when the farmer accesses the dashboard, then they should be able to view historical trends of soil moisture levels and corresponding alerts for data-informed decision-making.

User Feedback Mechanism

Given that an alert has been received and acted upon, when the farmer acknowledges the alert through the app, then they should be prompted to provide feedback on the alert's relevance and effectiveness for future improvements.

Integrated Pest Alert System

User Story: As a farmer, I want to receive alerts about potential pest outbreaks so that I can take preventive actions in advance, ensuring the health of my crops and minimizing pesticide use.
Description: The Integrated Pest Alert System requirement will utilize data analytics to monitor pest activity patterns and environmental conditions conducive to pest proliferation. This feature will generate timely alerts when conditions indicate a potential pest outbreak, enabling farmers to implement preventative measures early. The integration with pest prediction models contributes significantly to reducing chemical usage, enhancing sustainable farming practices, and protecting crop yields from pest-related damages. The benefit of this system lies in its ability to promote proactive pest management strategies.
Acceptance Criteria: User receives a pest alert notification through the AgriSphere dashboard when environmental conditions indicate a potential pest outbreak, allowing them to take action.

Given the user has an active account and enabled pest alerts, when pest activity data evaluates conditions indicating a potential pest outbreak, then the user receives a real-time notification on the dashboard.

Farmers can review historical pest alert data to assess the efficacy of their pest management strategies over the past growing seasons.

Given the user navigates to the pest alert history section, when they select a specific time range and apply necessary filters, then they can view and analyze past pest alerts along with the corresponding environmental data.

Users set thresholds for soil moisture levels that, when crossed, trigger an automatic pest alert notification.

Given the user has set a soil moisture level threshold in the system, when the soil moisture readings drop below this set level, then the user receives an immediate alert notification via SMS and/or email.

Farmers can customize the types of pests they want to be alerted about based on their specific crops.

Given the user is in the pest alert settings, when they select which pests to monitor, then the system updates their alert preferences accordingly and sends notifications only for selected pests.

System integrates satellite imagery data to enhance the accuracy of pest alerts by correlating it with local environmental conditions.

Given the system is tracking pest activity and local environmental conditions, when the satellite imagery indicates a shift in crop health, then it adjusts the pest alert parameters to reflect potential thrashing or pest issues.

Users can access educational resources linked to pest alerts to improve their pest management strategies.

Given a pest alert is generated, when the user clicks on the alert notification, then they are redirected to a dedicated page with resources about pest management practices specific to the alert.

Temperature Threshold Alerts

User Story: As a farmer, I want to be alerted when temperatures exceed or drop below critical thresholds for my crops so that I can take immediate action to protect them, ensuring their health and maximizing yield potential.
Description: This requirement involves setting up alerts for temperature fluctuations that could adversely affect crop growth, particularly for sensitive crops like fruits and vegetables. Through the integration with temperature sensors, farmers will receive notifications when temperatures exceed or fall below critical levels. This proactive approach facilitates timely interventions, such as protective coverings or ventilation adjustments, ensuring optimal growing conditions are maintained. The implementation of this feature is critical for safeguarding vulnerable crops and enhancing overall yield quality.
Acceptance Criteria: User receives an alert when the temperature exceeds the critical threshold set for their specific crop type.

Given a temperature sensor is monitoring the crop area, when the temperature exceeds the critical threshold, then the system sends an instant alert to the farmer's mobile app and dashboard.

User receives an alert when the temperature drops below the critical threshold for their crops.

Given a temperature sensor is monitoring the crop area, when the temperature drops below the critical threshold, then the system sends an instant alert to the farmer's mobile app and dashboard.

User can customize temperature threshold settings for different crop types.

Given the user accesses the alert settings feature, when they set a custom temperature threshold for a specific crop type, then the system updates the alerts to reflect this new threshold.

User views the history of past temperature alerts to analyze trends.

Given there have been temperature alerts in the past, when the user accesses the alerts history feature, then they can see a chronological list of all past alerts along with timestamps and corresponding temperature readings.

User receives alerts through multiple channels (SMS, Email, App Notification).

Given the user's preferences for alert notifications are configured, when a temperature threshold is breached, then the system sends alerts via all selected channels (SMS, email, and app notification).

User receives alerts based on different severity levels of temperature changes.

Given the user has set severity thresholds for temperature changes, when a threshold is breached, then the user receives an alert indicating the severity level (e.g., urgent, warning, informational).

User receives alerts during specified times to avoid nocturnal disturbances.

Given the user has set quiet hours in the alert settings, when a temperature threshold is breached during these hours, then the system respects these settings and does not send alerts during this period.

Water Usage Optimization Alerts

User Story: As a farmer, I want to receive alerts when my water usage exceeds planned thresholds so that I can adjust my irrigation practices and conserve water, promoting sustainability.
Description: The Water Usage Optimization Alerts requirement leverages data from irrigation systems to send alerts when water usage exceeds planned thresholds, indicating potential over-irrigation. This feature aims to help farmers conserve water resources while maintaining adequate crop hydration. By tracking and analyzing usage patterns, this alert system encourages sustainable practices, contributing to more responsible water management. The expected outcome is a significant reduction in water wastage while still supporting crop health and productivity.
Acceptance Criteria: Water Usage Optimization Alerts for Irrigation Systems.

Given a set irrigation threshold for water usage, When the monitored usage exceeds this threshold, Then an alert should be sent to the farmer via their preferred communication channel (SMS, email, app notification).

Validation of Alert Accuracy for Over-Irrigation.

Given that water usage data is being collected continuously, When an alert is triggered for over-irrigation, Then the system should accurately reflect a minimum of 95% accuracy in identifying actual instances of over-irrigation based on historical data comparison.

User Response to Water Usage Alerts.

Given an alert has been sent regarding water usage exceeding the threshold, When the user acknowledges the alert, Then the system should log the user’s response and provide options for immediate actions such as adjusting irrigation settings.

Tracking Historical Water Usage Data Over Time.

Given that the water usage alert system has been in operation for at least one complete growing season, When a request is made for historical usage data, Then the system should provide a detailed report including trends in water usage and alerts triggered during that period.

User Customization of Alert Thresholds.

Given that the user has access to the alert settings, When the user adjusts the threshold for water usage alerts, Then the system should allow these changes to be saved and applied immediately without errors, reflecting the new threshold in subsequent monitoring.

Integration with Soil Moisture Levels for Alerts.

Given that soil moisture is also being monitored, When the water usage threshold is exceeded, Then the alert should indicate whether the soil moisture level is low, moderate, or high to give the user context about the water usage alert.

Integration with Smart Irrigation Systems

This feature seamlessly connects with existing smart irrigation systems, allowing for automated control based on the personalized irrigation plans generated. By enabling real-time adjustments and remote management, users can maximize efficiency and productiveness of their irrigation practices.

Requirements

Real-time Communication Interface

User Story: As a farmer, I want to receive real-time updates on soil conditions and weather changes so that I can adjust my irrigation practices immediately and maximize water efficiency.
Description: This requirement outlines the necessity for a real-time communication interface between AgriSphere and integrated smart irrigation systems. It aims to provide continuous data exchange, ensuring that irrigation systems can receive instantaneous updates on parameters like soil moisture levels and weather forecasts. By enabling real-time adjustments, farmers can optimize their irrigation practices, reducing water waste and improving crop health. This feature must be robust enough to handle frequent data updates while ensuring security and data integrity during transmission.
Acceptance Criteria: Integration of AgriSphere with a farmer's existing smart irrigation system for automated irrigation scheduling based on weather forecasts and soil moisture data.

Given that the user has set personalized irrigation plans in AgriSphere, When real-time soil moisture levels drop below the predefined threshold or a forecast of rainfall is detected, Then the smart irrigation system should automatically adjust watering schedules accordingly without manual intervention.

Real-time monitoring of soil moisture data through the communication interface between AgriSphere and smart irrigation systems during a critical growth phase of crops.

Given that the communication interface is active, When a soil moisture sensor reports a moisture level change, Then AgriSphere must receive and log this data within 10 seconds and update the irrigation system proactively.

User accesses the AgriSphere dashboard to monitor and control their smart irrigation system remotely during an unexpected drought condition.

Given that the user is logged into the AgriSphere dashboard, When the user selects the smart irrigation control panel, Then they should be able to view current moisture levels, system status, and adjust irrigation settings in real-time without lag.

Security validation of the data transmission between AgriSphere and the smart irrigation systems to prevent unauthorized access.

Given that data is being exchanged between AgriSphere and the smart irrigation system, When data packets are transmitted, Then they must be encrypted and validated against unauthorized access or tampering attempts during transmission.

Integration testing of the real-time communication interface under varying network conditions to ensure reliability.

Given different network conditions (e.g., high latency, low bandwidth), When the data is transmitted from the smart irrigation system to AgriSphere, Then the system should remain functional, with no more than a 15% data loss during transmission.

User receives alerts and updates via push notifications on their mobile device regarding system status changes based on real-time data.

Given that the AgriSphere app is installed and notifications are enabled, When there is a significant change in soil moisture or weather conditions, Then the user should receive a push notification within 5 minutes of the event occurring.

Automated Irrigation Scheduling

User Story: As a farmer, I want my irrigation system to automatically schedule watering times based on current conditions so that I can save time and ensure my crops receive optimal moisture.
Description: The Automated Irrigation Scheduling requirement specifies the development of a feature that automatically generates irrigation schedules based on the personalized needs of crops, soil conditions, and weather data. This feature will assess real-time information and historical data to create optimized schedules automatically, minimizing the need for manual input. The benefits include time-saving for farmers, improved resource management, and enhanced crop yields due to more precise watering practices. Seamless integration with existing sensors and monitoring systems is essential for accurate functionality.
Acceptance Criteria: Farmers input their crop types and current soil conditions into the AgriSphere dashboard, which then generates an optimized irrigation schedule automatically.

Given that the user has inputted their crop types and current soil conditions, When the automated irrigation scheduling feature is activated, Then an irrigation schedule should be generated that meets the personalized needs of the crops with adjustments based on current conditions.

Farmers want to adjust the generated irrigation schedule based on changing weather conditions.

Given that a weather alert indicating a forecasted rainstorm is received, When the farmer reviews the irrigation schedule on the dashboard, Then the system should automatically adjust the irrigation schedule to prevent watering during the forecasted rain.

Farmers wish to monitor the effectiveness of the automated irrigation scheduling over time to improve yields.

Given that the automated irrigation scheduling has been in effect for a growing season, When the farmer reviews the productivity reports on the dashboard, Then the system should display an increase in yield metrics compared to the previous season without automated scheduling.

Farmers need to ensure that the automated irrigation system is accurately integrated with existing sensors to reflect real-time soil moisture levels.

Given that soil moisture sensors are installed in the field, When the automated irrigation scheduling is activated, Then the system should reflect real-time moisture levels and adjust the irrigation schedule accordingly.

Farmers require notifications when the automated irrigation scheduling system determines that irrigation should take place.

Given that the irrigation schedule indicates an irrigation event is due, When the scheduled time arrives, Then the system should send a notification to the farmer's registered mobile device.

Agricultural businesses want to analyze historical data to refine future irrigation schedules.

Given that the farmer has access to historical climate and crop performance data, When the farmer accesses the analytics feature on the dashboard, Then they should be able to see the impact of previous irrigation schedules on crop yield and make data-driven decisions for future schedules.

User-friendly Dashboard for Irrigation Management

User Story: As a farmer, I want a simple and accessible dashboard to manage my irrigation system so that I can easily monitor and adjust watering schedules from anywhere.
Description: The User-friendly Dashboard for Irrigation Management requirement calls for the creation of an intuitive dashboard that presents irrigation data and controls in a streamlined manner. This dashboard should allow users to easily visualize their irrigation schedules, monitor water usage, and make adjustments as needed. By integrating visual analytics and user-friendly controls, this feature aims to enhance user engagement and decision-making processes. It must also support mobile accessibility, enabling farmers to manage their irrigation systems on-the-go.
Acceptance Criteria: User accesses the dashboard to view irrigation schedules and water usage data on a mobile device.

Given the user is logged into the AgriSphere platform and has an active internet connection, when they navigate to the User-friendly Dashboard on their mobile device, then they should see a clear and visually organized display of their irrigation schedules and real-time water usage information.

User modifies an irrigation schedule through the dashboard and saves the changes.

Given the user is on the User-friendly Dashboard and has selected an irrigation schedule, when they adjust the settings (e.g., start time, duration) and click 'Save,' then the adjusted settings should be applied, and the user should receive a confirmation message indicating the schedule has been updated successfully.

User uses visual analytics to identify areas of over-watering in their fields.

Given the user has accessed the visual analytics section of the dashboard, when they view the irrigation data, then they should be able to identify specific areas of over-watering highlighted on the map, with corresponding data on water usage for those areas.

User receives an alert for an irrigation system failure on their dashboard.

Given the smart irrigation system detects a failure, when the dashboard displays alerts, then the user should see a clear notification indicating the type of failure, along with recommended troubleshooting steps.

User reviews historical irrigation data through the dashboard to inform future decisions.

Given the user is on the User-friendly Dashboard, when they select the historical data option, then they should be able to view charts and graphs that visualize past irrigation cycles and their impact on crop yield over time.

User shares access to their irrigation dashboard with a farm manager.

Given the user selects the 'Share Access' option on the dashboard, when they enter the farm manager's contact information and send the invite, then the farm manager should receive an email invitation to access the dashboard in a timely manner.

Integration with Weather Forecast APIs

User Story: As a farmer, I want to receive weather updates directly in my irrigation management system so that I can adjust watering schedules based on forecasted conditions.
Description: This requirement entails integrating AgriSphere with third-party weather forecast APIs to provide users with accurate and timely weather information. The integration should facilitate the adjustment of irrigation schedules based on anticipated rainfall, temperature changes, and humidity levels. This feature is crucial for making informed decisions about irrigation practices, thereby promoting water conservation and improving crop yield. The implementation should ensure that the data is updated regularly and presented in an easily digestible format for users.
Acceptance Criteria: User receives weather updates on the AgriSphere dashboard before their scheduled irrigation.

Given the user has a smart irrigation system connected to AgriSphere, when the weather forecast API updates with new data, then the user should receive an alert on the dashboard informing them of any rainfall or temperature changes that may affect irrigation schedules.

User adjusts their irrigation schedule based on weather forecast predictions provided by AgriSphere.

Given that the user has access to the weather predictions, when the forecast indicates a significant rainfall event within the next 24 hours, then the system should automatically adjust the irrigation schedule to delay watering until after the predicted rainfall.

User views the weather forecast data on their AgriSphere dashboard.

Given the integration with the weather forecast API is operational, when the user navigates to the weather section of their dashboard, then they should see up-to-date weather information presented in a clear and user-friendly format, including temperature, humidity, and precipitation predictions for the next 7 days.

User sets up alerts for weather changes that impact irrigation decisions.

Given the user wants to optimize their irrigation practices, when they configure the alert settings for weather changes, then the system should send notifications via email or SMS when conditions change that could affect irrigation needs, such as unexpected rainfall or a drop in temperature.

User experiences reduced water usage after implementing weather-aware irrigation adjustments.

Given the user applies the irrigation schedule adjustments based on weather data, when they compare their water consumption over the previous irrigation cycles, then a measurable reduction in water usage should be evident, demonstrating the effectiveness of the weather integration.

System successfully integrates with at least two different weather forecast APIs for redundancy.

Given that the integration with weather forecast APIs is complete, when the user selects their preferred weather source, then the system should function correctly and retrieve accurate data from both integrated APIs, ensuring reliability and consistency in the information provided.

Mobile Remote Control Functionality

User Story: As a farmer, I want to be able to control my irrigation system from my mobile phone so that I can manage my water usage even when I'm away from the farm.
Description: The Mobile Remote Control Functionality requirement specifies the necessity for users to manage their irrigation systems directly from mobile devices. This includes starting/stopping irrigation cycles, adjusting schedules, and receiving notifications about irrigation system status. The mobile functionality should be user-friendly, encompassing both iOS and Android platforms. By providing users with the ability to control their irrigation systems remotely, this feature promotes flexibility, allowing farmers to respond to changing environmental conditions efficiently.
Acceptance Criteria: Mobile user adjusts the irrigation schedule for the day based on weather conditions observed through AgriSphere.

Given the user is logged into the AgriSphere mobile app, when they access the irrigation schedule settings, then they can successfully adjust the irrigation start time for today.

User receives a notification regarding a malfunction in the irrigation system while away from the farm.

Given that the user has enabled notifications in the mobile app, when the irrigation system detects a malfunction, then the user receives an instant notification on their mobile device with details about the issue.

User remotely stops an irrigation cycle that is currently running to prevent overwatering due to unexpected rain.

Given the irrigation system is currently active and the user is on the AgriSphere mobile app, when the user selects the option to stop the irrigation cycle, then the system successfully halts the operation and confirms the action via an on-screen message.

User initiates an irrigation cycle through their mobile app while physically away from the farm for an extended period.

Given the user is away from the farm and logged into the AgriSphere app, when they choose to manually start the irrigation cycle for a designated field, then the irrigation system activates the cycle and the user receives a confirmation message.

User checks the status of the irrigation system remotely to assess current performance and issues.

Given the user is logged into the AgriSphere mobile app, when they navigate to the system status section, then they can view real-time performance metrics, including whether the system is currently active or inactive.

Eco-Friendly Crop Planner

This feature provides tailored crop rotation plans based on environmental sustainability principles and soil health data. By analyzing historical yield data and current soil conditions, the Eco-Friendly Crop Planner helps farmers select crops that enhance soil fertility while minimizing pest issues, ensuring sustainable harvests and promoting biodiversity.

Requirements

Soil Health Assessment Integration

User Story: As a farmer, I want to receive real-time soil health data so that I can make informed crop rotation decisions that enhance soil fertility and sustainability.
Description: This requirement focuses on integrating comprehensive soil health assessments into the Eco-Friendly Crop Planner feature. It will include automated analysis of soil samples through partnerships with soil testing labs and incorporation of IoT soil moisture and nutrient sensors. The integration will ensure that farmers receive real-time data about soil conditions such as pH, moisture levels, and nutrient content. This functionality aims to provide tailored recommendations for crop rotation that improve soil health, ultimately leading to better yields and more sustainable farming practices.
Acceptance Criteria: Integration of soil health assessment data into the Eco-Friendly Crop Planner feature during a farmer's planning session in the AgriSphere platform.

Given that the farmer has uploaded soil samples for analysis and connected IoT sensors to the platform, when the Eco-Friendly Crop Planner is accessed, then the system should display real-time soil health parameters (pH, moisture levels, nutrient content) on the dashboard.

Utilization of automated recommendations based on soil health data for crop rotation planning by farmers in AgriSphere.

Given that the soil health assessment data has been integrated successfully, when the farmer selects the crop rotation planning option, then the system should automatically generate and display tailored crop rotation recommendations that enhance soil fertility and mitigate pest issues.

Real-time monitoring capability for soil moisture and nutrient levels using IoT sensors in conjunction with the Eco-Friendly Crop Planner feature.

Given that IoT sensors are installed in the farmer's field, when the soil moisture or nutrient levels change, then the system should send a notification to the farmer’s dashboard with the latest readings and recommendations for irrigation or fertilization adjustments.

User feedback and satisfaction assessment regarding the soil health integration feature of the Eco-Friendly Crop Planner once it is live.

Given that the soil health assessment feature has been operational for one full growing season, when the farmer provides feedback through a survey, then at least 75% of respondents should report improved decision-making in crop selection and planning.

Assessment of the accuracy and reliability of soil health data provided to farmers through AgriSphere's integration with soil testing labs.

Given that soil samples are sent to partnered testing labs, when the analysis results are compared to the data reported by the IoT sensors, then the correlation should be at least 90% accurate for pH, moisture, and nutrient levels.

Comprehensive reporting functionality for soil health over time in the Eco-Friendly Crop Planner.

Given that the farmer uses the Eco-Friendly Crop Planner over multiple seasons, when checking the historical soil health report, then the system should display a comparative analysis of soil health parameters over time, indicating trends and helping to inform future crop decisions.

Historical Yield Data Analytics

User Story: As a farmer, I want to analyze historical yield data, so that I can choose the crop rotations that have proven to be the most successful in my specific field conditions.
Description: This requirement entails the development of analytics tools that leverage historical yield data to inform the Eco-Friendly Crop Planner. By analyzing past yield performance based on different crop combinations and environmental conditions, the feature will provide insights and predictions to farmers regarding potential yield outcomes. This requirement will enhance decision-making by allowing farmers to visualize how various crop rotations have historically performed under similar conditions, thus promoting more data-driven agricultural practices.
Acceptance Criteria: As a farmer using the Eco-Friendly Crop Planner, I want to analyze historical yield data for various crop rotations so that I can make informed decisions on which crops to plant based on past performance and soil conditions.

Given the user has accessed the Eco-Friendly Crop Planner, when they input their current soil data and select crop options, then the system should display a comparison of historical yield outcomes for the selected crop combinations over the last five years.

As a user, I want to visualize the relationship between historical yield data and environmental conditions so that I can identify trends that may affect my crop selections.

Given the historical yield data is available, when the user selects a specific crop and a range of environmental conditions, then the system should generate a visual chart showing yield outcomes, highlighting patterns and correlations over the selected time.

As a consultant advising a farming client, I want to generate a report on the effectiveness of different crop rotations based on historical yield data to support sustainability practices.

Given the historical yield analytics tool is initialized, when the user requests a report for specific crops over the past decade, then the system should provide a detailed report outlining crop performance metrics, including average yields, pest occurrences, and soil health impacts.

As a farmer reviewing the Eco-Friendly Crop Planner, I want to understand how weather events influenced historical crop yields so that I can better predict future outcomes under similar circumstances.

Given the historical weather data is integrated with yield data, when the user selects a weather event type (e.g., drought, heavy rainfall), then the system should display a list of affected crops along with their yield performance during those weather events.

As an agricultural researcher, I want to test the accuracy of the historical yield predictions made by the tool against actual yield data collected over the years to ensure the system's reliability.

Given that the prediction model uses historical data, when the user runs a validation check against actual yields for the same crops and conditions, then the system should report the accuracy percentage and any discrepancies between predicted and actual yields.

Biodiversity Impact Report

User Story: As a farmer, I want a report on the biodiversity impacts of my crop choices, so that I can make informed decisions that support local ecosystems while maintaining productivity.
Description: This requirement involves the creation of an automated Biodiversity Impact Report that assesses the ecological impact of proposed crop rotations. By applying algorithms that consider local biodiversity factors, the report will recommend crop choices that not only optimize yield but also support local ecosystems. This feature aims to encourage practices that enhance biodiversity, such as intercropping and planting cover crops, and will consequently foster a healthy agricultural environment.
Acceptance Criteria: Scenario for generating a Biodiversity Impact Report using the Eco-Friendly Crop Planner with selected crop rotation data.

Given that a user has inputted their crop rotation plan into the Eco-Friendly Crop Planner, when the user requests a Biodiversity Impact Report, then the system should generate a report that includes biodiversity metrics such as species diversity, habitat impact, and suggestions for improvement.

Scenario for reviewing the Biodiversity Impact Report by a user with specific agricultural goals.

Given that a user has received their Biodiversity Impact Report, when the user reviews the report, then the user should be able to easily interpret the data with visual aids such as graphs and summaries indicating biodiversity improvement opportunities and potential risks to local ecosystems.

Scenario for a user seeking recommendations on crop selection based on the Biodiversity Impact Report findings.

Given that the Biodiversity Impact Report highlights areas for improvement in crop selection, when the user accesses recommended crop choices, then the system should provide at least three crop alternatives that enhance soil health and promote biodiversity while optimizing yield.

Scenario for the system’s capability to evaluate the ecological impact of different crop rotations.

Given that the user provides various crop rotation options, when the user requests an ecological impact evaluation, then the system should apply algorithms that analyze and rank the options based on their biodiversity impact scores.

Scenario for capturing feedback from users after generating the Biodiversity Impact Report.

Given that a user has used the Biodiversity Impact Report feature, when the user completes the feedback survey, then the system should record and display user satisfaction ratings and suggestions for feature improvement.

Scenario for the automatic update of guidelines based on new ecological research.

Given that new research on crop biodiversity is released, when the system's guidelines are updated, then the Biodiversity Impact Report should reflect the latest findings and recommendations relevant to local ecosystems.

Scenario for accessibility features ensuring all users can utilize the Biodiversity Impact Report.

Given that a user with disabilities accesses the Biodiversity Impact Report, when they interact with the report, then the features must comply with accessibility standards such as WCAG 2.1, including text-to-speech capability and keyboard navigation.

Automated Pest Prediction Modeling

User Story: As a farmer, I want to receive automated pest predictions related to my crop choices, so I can take preventive measures and reduce the need for chemical treatments.
Description: This requirement includes the implementation of automated pest prediction algorithms that analyze current and historical pest data, environmental factors, and crop types to forecast potential pest outbreaks. By integrating this predictive modeling into the Eco-Friendly Crop Planner, farmers can proactively manage pest threats by adjusting their crop rotations and pest management strategies in advance. This will lead to healthier crops and reduced reliance on chemical pesticides, promoting sustainable farming practices.
Acceptance Criteria: Farmers utilize the Automated Pest Prediction Modeling within the Eco-Friendly Crop Planner to forecast pest outbreaks based on their current crop type and soil health data.

Given a farmer inputs their crop type and soil conditions, when the pest prediction model runs, then it should output a forecast for potential pest outbreaks with a probability score for accuracy.

Farmers receive notifications alerting them about predicted pest outbreaks and suggested crop rotation adjustments to mitigate the risk.

Given that a pest outbreak is predicted, when the model generates alerts, then farmers should receive an automated notification via the dashboard and email containing pest risk details and recommended actions.

The system is able to track the effectiveness of the pest prediction and crop rotation decisions made by the farmer over time, providing feedback on outcomes.

Given the user accesses the performance report, when they review the pest prediction outcomes, then they should see a comparison of predicted vs. actual pest occurrences along with the corresponding crop yields for the selected timeframe.

Farmers want to adjust their pest management strategies based on model predictions to reduce dependence on chemical pesticides.

Given the prediction of a potential pest outbreak, when the farmer updates their pest management strategy in response, then the system should log these changes and reflect them in future crop management recommendations.

The system integrates seamlessly with existing farm management software to enhance user experience and data sharing.

Given the farm management software is set up, when the farmer attempts to synchronize data, then the pest prediction features should integrate smoothly, allowing for automatic data updates without errors.

The model is able to incorporate real-time environmental factors such as temperature and humidity to enhance prediction accuracy.

Given the environmental sensors are connected, when real-time data is fed into the model, then the predictions should adjust dynamically based on the latest environmental conditions to provide updated outbreak forecasts.

Farmers need access to historical pest data and its correlation with different crop types for better planning.

Given the historical data is available, when farmers request historical pest data correlated with previous crop yields, then the system should generate a comprehensive report that visualizes this information effectively.

User-friendly Dashboard Interface

User Story: As a farmer, I want a user-friendly dashboard that clearly displays my crop recommendations and soil health data, so that I can easily understand and act on the information provided.
Description: This requirement aims to enhance the user interface of the Eco-Friendly Crop Planner to ensure ease of use and accessibility for farmers of various tech proficiencies. The dashboard will feature intuitive navigation, clear visualization of data, and customizable reports based on user preferences. This improvement is vital for ensuring that farmers can efficiently leverage the full potential of the Eco-Friendly Crop Planner, thereby maximizing their productivity and sustainability efforts.
Acceptance Criteria: Navigating the Eco-Friendly Crop Planner Dashboard for the First Time

Given a user accessing the Eco-Friendly Crop Planner for the first time, When they log in, Then they are presented with a guided tour of the dashboard, highlighting key features and functionalities to ensure a smooth onboarding experience.

Customizing Crop Rotation Plans Based on Soil Conditions

Given a user enters specific soil health data into the dashboard, When they select the 'Generate Crop Rotation Plan' button, Then the system displays a recommended crop rotation plan tailored to enhance soil fertility and minimize pests within 5 seconds.

Visualizing Historical Yield Data Over Multiple Seasons

Given a user navigates to the 'Yield Analytics' section of the dashboard, When they select the 'View Historical Data' option and choose a specific crop, Then the system generates a clear, interactive graph of yield data over the past five seasons within 3 seconds.

Generating Custom Reports for Stakeholders

Given a user selects the 'Generate Report' option on the dashboard, When they customize the report parameters and submit their request, Then a downloadable PDF report populates within 10 seconds, summarizing their crop rotation successes and soil health improvements.

Accessing Dashboard on Mobile Devices

Given a user accesses the Eco-Friendly Crop Planner dashboard from a mobile device, When they log in, Then the interface adjusts responsively, and all features remain accessible with no loss of functionality or data visualization clarity.

Interactive Pest Prediction Visualization

Given a user navigates to the 'Pest Prediction' module on the dashboard, When they enter their current crop type and location, Then the system provides an interactive map showing predicted pest activity and recommended preventative measures.

Seeking Help with Dashboard Features

Given a user encounters difficulties while using the dashboard, When they click on the 'Help' section, Then they receive context-sensitive tips and a link to comprehensive user documentation that is relevant to their current activity.

Pest Management Advisor

An intelligent system that offers timely, data-driven pest management strategies tailored to specific crops and regional conditions. The Pest Management Advisor utilizes historical pest data, real-time environmental signals, and best practices to recommend preventive measures and eco-friendly pest control options, helping farmers protect their crops while minimizing chemical use.

Requirements

Data-Driven Pest Alerts

User Story: As a farmer, I want to receive real-time alerts about potential pest threats so that I can take timely actions to protect my crops before damage occurs.
Description: This requirement involves developing a real-time alert system that notifies farmers about potential pest threats based on current environmental conditions and historical pest data. The alerts should be customizable based on user preferences, allowing farmers to receive notifications via SMS, email, or in-app messages. This feature enhances proactive pest management, enabling farmers to take timely actions to protect their crops and reduce reliance on chemicals. Integration with existing IoT devices for precise environmental monitoring will further increase the accuracy and relevance of alerts, allowing effective interventions before an infestation occurs.
Acceptance Criteria: Customizable Alert Preferences for Pest Notifications

Given a user has access to the Pest Management Advisor, when they navigate to the alert settings, then they should be able to customize alert preferences for SMS, email, and in-app notifications based on specific crops and pest threats.

Real-Time Pest Threat Alerts

Given real-time environmental data is being monitored, when conditions indicate a potential pest threat, then the system should send an alert to users based on their chosen notification method (SMS, email, in-app).

Integration with IoT Devices for Accurate Data

Given the integration with IoT devices, when environmental readings are updated, then the Pest Management Advisor should accurately reflect these changes in its pest threat predictions and alerts.

Historical Data Analysis for Pest Prediction

Given the system has access to historical pest data, when analyzing current environmental conditions, then the Pest Management Advisor should provide accurate predictions of potential pest threats tailored to the specific crop type.

User-Friendly Dashboard for Alert Review

Given a farmer receives pest alerts, when they access the dashboard, then they should be able to view a history of alerts along with recommendations for actions to take, presented in an intuitive format.

Response Time to Alerts

Given a potential pest threat alert is generated, when the notification is sent to the user, then it should be delivered within 5 minutes to ensure timely action can be taken.

Testing of Alert Delivery Methods

Given a user has defined their alert preferences, when a pest threat is detected, then each chosen notification method (SMS, email, in-app) should successfully deliver the alert without failure.

Pest Control Recommendations

User Story: As a farmer, I want tailored pest control recommendations for my crops so that I can manage pests effectively while minimizing chemical use.
Description: The Pest Management Advisor will provide tailored pest control recommendations based on specific crops and regional pest activity. This includes suggesting eco-friendly treatment options and preventive measures, leveraging machine learning algorithms to analyze past pest control effectiveness and environmental data. The feature should be user-friendly, displaying recommendations in a clear format along with relevant action steps and timing, which helps farmers efficiently implement strategies that minimize chemical use while maximizing effectiveness.
Acceptance Criteria: As a farmer using the AgriSphere platform, I want to receive pest control recommendations for my corn crop during the early spring growing season so that I can address any potential pest issues proactively.

Given that the farmer has input their crop type and location, when the Pest Management Advisor analyzes the regional pest data and environmental signals, then it should display at least three tailored pest control recommendations in a clear format, including eco-friendly options and actionable steps.

As an agricultural business owner, I want the Pest Management Advisor to integrate historical pest control effectiveness data so that I can assess the best strategies to apply this season.

Given that historical pest control effectiveness data is available, when the Pest Management Advisor generates recommendations for a specific crop, then it should incorporate at least two historical effectiveness metrics in its suggestions to assist in decision-making.

As a farm manager, I need the Pest Management Advisor to provide notifications about when to implement pest control measures based on real-time data so that I can take timely actions.

Given that real-time environmental signals indicate a pest outbreak risk, when the Pest Management Advisor identifies this risk, then it should send a notification to the farm manager outlining the best time to implement recommended pest control measures, along with a clear next steps guide.

As a user of the AgriSphere dashboard, I want the Pest Management Advisor recommendations to be presented in a straightforward layout so that I can easily understand and act on them.

Given that the user accesses the Pest Management Advisor, when viewing the recommendations interface, then it should display a user-friendly layout with clearly defined sections for each recommendation, including treatment options, recommended timing, and potential outcomes, all in under three clicks to access.

As an organic farmer utilizing the AgriSphere platform, I want the Pest Management Advisor to prioritize eco-friendly pest control options in its recommendations to align with my farming practices.

Given that the farmer has specified their preference for eco-friendly practices, when the Pest Management Advisor generates pest control recommendations, then it should prioritize at least two eco-friendly options within the top three recommendations presented.

As a farmer, I want to track the effectiveness of the pest control measures implemented based on the Pest Management Advisor's recommendations so that I can learn and improve my pest management strategy over time.

Given that a pest control measure has been implemented as recommended, when the farmer inputs the outcomes into the AgriSphere platform, then it should allow tracking of effectiveness metrics and display a summarized report after each growing season for analysis.

Integrative Dashboard Views

User Story: As a farmer, I want to see pest management data alongside my other farming metrics on a single dashboard so that I can make informed decisions about pest control in the context of my overall farm operations.
Description: This requirement focuses on creating visual dashboard components that integrate pest management data with ongoing agricultural activities. The dashboard should display real-time pest data, alert statuses, and recommendations alongside other farming metrics like weather forecasts and crop health indicators. This comprehensive view enables farmers to make informed decisions quickly and efficiently, enhancing overall farm management through intuitive visualizations that facilitate swift action in response to pest conditions.
Acceptance Criteria: Dashboard Displays Real-Time Pest Data and Alerts

Given that the user has accessed the Integrative Dashboard, when real-time pest data is available, then it must display the latest pest data and alert statuses prominently within the dashboard view.

User Can Access Pest Management Recommendations

Given that the user is viewing the dashboard, when pest data indicates a need for intervention, then the dashboard should provide contextual pest management recommendations such as preventive measures or eco-friendly options.

Dashboard Integrates Weather and Crop Health Data

Given that the user is monitoring the dashboard, when they view the pest management section, then it must also display relevant weather forecasts and crop health indicators in real-time to support informed decision-making.

User Interaction with Dashboard Components

Given that the user has accessed the dashboard, when they interact with any data visualization component (e.g., hover or click), then relevant tooltips or additional information must be displayed to enhance user understanding of pest conditions and related metrics.

Visualizations Reflect Real-Time Data

Given that the user is monitoring pest management data, when there is a change in real-time environmental signals, then all related graphs and indicators within the dashboard must update automatically and accurately reflect the latest data.

User Receives Timely Notifications for Pest Alerts

Given that the user has set up their preferences, when a pest alert condition is triggered based on their specific crops, then the user must receive push notifications via the dashboard and any selected communication channel.

Historical Pest Data Analysis

User Story: As a farmer, I want access to historical pest data and analysis so that I can understand past pest trends and make better-informed decisions for future pest management.
Description: This feature involves compiling and analyzing historical pest data relevant to specific regions and crops. By examining patterns and trends over time, the Pest Management Advisor will identify high-risk periods for pest outbreaks. The analysis will be integrated into the system to improve predictive capabilities and enhance the accuracy of pest alerts and recommendations. This historical data will also help farmers understand past pest control measures' effectiveness, leading to better informed future practices.
Acceptance Criteria: Integration of Historical Pest Data into Pest Management Advisor System

Given historical pest data has been gathered, when a user accesses the Pest Management Advisor dashboard, then the system should display a summary of historical pest trends specific to the user's region and crops for the last five years.

Identification of High-Risk Pest Periods

Given that historical pest data is integrated, when the system analyzes the data, then it should accurately identify and highlight at least three high-risk periods for pest outbreaks for each crop type in the user's region, based on historical trends.

Effectiveness of Past Pest Control Measures

Given the historical pest data includes past pest control measures used by farmers, when a user requests effectiveness reports, then the system should generate a report showing the success rates of those measures against pest outbreaks over time, quantified by percentage.

User Notification for Pest Alerts Based on Historical Data

Given high-risk periods for pest outbreaks are identified, when a high-risk period is approaching, then the system should automatically send notifications to users at least three days in advance, offering preventive recommendations.

User Interaction and Feedback on Recommendations

Given the Pest Management Advisor provides recommendations, when a user receives a notification and interacts with the system, then the system should allow the user to provide feedback on the usefulness and effectiveness of the recommendations given.

Visual Representation of Pest Trends

Given that historical pest data has been analyzed, when a user accesses the dashboard, then the system should display graphical representations (charts/graphs) of pest trends over time for each crop, making it easy to interpret the data visually.

Accessibility of Historical Pest Data

Given the historical pest data is comprehensive, when a user requests information about pest occurrences, then the system should allow users to filter data by specific crops, regions, and time frames, ensuring a user-friendly experience with accurate results.

User Feedback Mechanism

User Story: As a farmer, I want to provide feedback on pest management recommendations so that the system can improve over time based on my experiences and outcomes.
Description: A feedback mechanism will be established within the Pest Management Advisor to allow users to report their experiences with the pest management strategies implemented based on system recommendations. This feature is crucial for continuous improvement and refining the algorithms used for pest predictions and recommendations. The collected feedback will help in adapting the system to better meet user needs and enhance effectiveness, fostering user trust and engagement with the platform.
Acceptance Criteria: User submits feedback after implementing pest management recommendations for a specific crop.

Given the user has applied the recommended pest management strategies, when they navigate to the feedback section and submit their experience, then the feedback should be successfully recorded in the system with a confirmation message displayed to the user.

User views historical feedback data to assess the quality of pest management recommendations.

Given the user is accessing the historical feedback section, when they request to view feedback data, then the system should display a summary of past feedback including average ratings and comments for the specific strategies they used.

System analyzes collected user feedback for continuous improvement of pest management strategies.

Given the user feedback has been submitted, when the system processes the feedback data over a defined period, then actionable insights should be generated that highlight trends and potential adjustments to the pest management recommendations based on user experiences.

User seeks clarification on pest management strategies through the feedback mechanism.

Given the user wants additional information or clarification, when they submit a specific query alongside their feedback, then the system should log the query and provide a response via email within 48 hours.

User receives a prompt to provide feedback after a pest management recommendation is evaluated over time.

Given a user has utilized a pest management strategy for a specified duration, when the evaluation period concludes, then the user should receive a notification prompting them to submit their feedback regarding the strategy's effectiveness.

Admin reviews collected user feedback for overall satisfaction and areas for improvement.

Given the admin is logged in to the system, when they access the feedback review dashboard, then they should see a comprehensive report that includes user satisfaction scores, common feedback themes, and suggested areas for algorithm improvement.

Organic Fertilization Guide

This guide offers personalized recommendations for organic fertilization practices based on crop type, growth stage, and soil nutrient levels. By integrating soil health analysis with user preferences, the Organic Fertilization Guide enables farmers to make informed decisions that enhance soil quality and support crop health, reducing reliance on synthetic fertilizers.

Requirements

Personalized Fertilization Recommendations

User Story: As a farmer, I want personalized organic fertilization recommendations based on my crops and soil conditions so that I can improve soil health and crop yields while minimizing reliance on synthetic fertilizers.
Description: The Organic Fertilization Guide will offer personalized fertilization recommendations tailored to specific crop types, their growth stages, and current soil nutrient levels. This requirement emphasizes the integration of soil health data with user inputs to suggest appropriate organic fertilization methods. By analyzing diverse data sources, including previous crop performance and local best practices, the guide enhances user decision-making, ultimately leading to healthier crops and improved soil quality. The expected outcome is a significant reduction in synthetic fertilizer dependence, fostering sustainable agricultural practices.
Acceptance Criteria: User accesses the Organic Fertilization Guide to input their crop type and growth stage.

Given the user specifies a crop type and growth stage, When the user submits the information, Then the system should provide personalized organic fertilization recommendations based on the inputs received.

User reviews soil nutrient levels and their preferences for organic fertilization methods.

Given the user inputs current soil nutrient levels and preferences, When they request recommendations, Then the system should return suggestions that consider both soil health analysis and the user's preferences.

User receives recommendations for organic fertilization and decides to implement them in their farm management plan.

Given the user receives fertilization recommendations, When they accept the suggestions, Then the system should log these recommendations and update their farm management plan accordingly.

User wants to check the historical performance of the crops based on previous fertilization methods used.

Given the user requests historical data, When they select a crop type and growth stage, Then the system should display past crop performance metrics related to previous organic fertilization methods implemented.

User seeks assistance in understanding the impacts of the recommended organic fertilizers on soil quality.

Given the user inquires about the benefits of the recommended fertilizers, When they ask for an explanation, Then the system should provide detailed information on how each recommended fertilizer can enhance soil quality and health.

User wants to compare the effectiveness of organic fertilization against synthetic fertilizers used previously.

Given the user wants a comparison, When they input data for synthetic fertilizers used, Then the system should generate a comparative report highlighting differences in crop yield, soil health, and sustainability metrics between organic and synthetic methods.

Soil Health Analysis Dashboard

User Story: As a farmer, I want to view a dashboard that shows my soil health metrics so that I can effectively track and improve my soil quality and make better fertilization decisions.
Description: The Organic Fertilization Guide will include a Soil Health Analysis Dashboard that visualizes key soil nutrient levels, pH, and organic matter content. This dashboard will serve as a comprehensive interface for farmers to monitor and assess their soil's health over time. By integrating real-time data from IoT soil sensors, the dashboard will provide actionable insights, enabling users to make informed fertilization decisions. The expected outcome is enhanced understanding of soil conditions, leading to improved crop planning and fertilization strategies.
Acceptance Criteria: User accesses the Soil Health Analysis Dashboard to retrieve real-time soil health metrics for their farm using IoT sensors.

Given the user is logged into AgriSphere and has valid IoT soil sensors installed, when they navigate to the Soil Health Analysis Dashboard, then the dashboard should display real-time updates of soil nutrient levels, pH, and organic matter content within 5 seconds.

User customizes the Soil Health Analysis Dashboard to display specific soil metrics that are most relevant to their agricultural practices.

Given the user is on the Soil Health Analysis Dashboard, when they select specific metrics to display from a customization menu, then the dashboard should update to show only the selected metrics without any delay.

User analyzes historical soil nutrient trends over a growing season to inform fertilization decisions for the next planting cycle.

Given the user has accessed the Soil Health Analysis Dashboard, when they view the historical data section, then they should be able to retrieve and visualize nutrient levels over the past 12 months, including at least three distinct soil health indicators.

User sets alerts for soil nutrient levels that fall below optimal thresholds necessary for crop growth.

Given the user has defined thresholds for key soil nutrients, when the soil nutrient levels fall below these thresholds, then the user should receive an alert notification through the AgriSphere platform within 10 minutes.

User generates a downloadable report of the soil health data to share with agricultural consultants.

Given the user is viewing the Soil Health Analysis Dashboard, when they click the 'Download Report' button, then a PDF report encompassing current soil health metrics and historical trends should be generated and made available for download within 30 seconds.

User accesses the Soil Health Analysis Dashboard on a mobile device while on their farm to check soil conditions on-the-go.

Given the user is using the AgriSphere mobile application, when they access the Soil Health Analysis Dashboard, then the interface should be fully functional and display all relevant soil health information accurately and responsively on the mobile device.

User integrates the Soil Health Analysis Dashboard with their existing farm management software.

Given the user is logged into their AgriSphere account, when they initiate an integration process with third-party farm management software, then the soil health data should seamlessly sync to the external application within 5 minutes and remain updated automatically.

Integrated User Preferences Module

User Story: As a farmer, I want to set my organic farming preferences in the system so that I receive customized fertilization recommendations that fit my farming style and beliefs.
Description: The Organic Fertilization Guide will feature an Integrated User Preferences Module that captures user input regarding preferred methods of organic farming, such as specific types of organic fertilizers or practices. This module will allow the system to cross-reference user preferences with soil and crop data, generating tailored recommendations. By considering user preferences, this functionality increases user satisfaction and adherence to recommended practices, ultimately contributing to better farming outcomes.
Acceptance Criteria: User inputs their preferred organic fertilization methods in the Integrated User Preferences Module.

Given a user is on the Integrated User Preferences Module, when they enter their preferred organic fertilization methods and save the information, then the system must accurately store the preferences and confirm the save action with a success message.

The system retrieves user preferences and generates tailored fertilization recommendations.

Given a user has saved their organic fertilization preferences, when they access the Organic Fertilization Guide, then the system must display recommendations that align with the user's stored preferences, crop type, and soil conditions.

User modifies their preferences in the Integrated User Preferences Module.

Given a user has previously saved preferences, when they update their preferred organic fertilization methods and confirm the changes, then the system must successfully update the preferences and reflect the changes in the Organic Fertilization Guide.

The system provides educational content related to organic fertilization choices based on user preferences.

Given a user accesses the Organic Fertilization Guide after setting preferences, when they view recommended practices, then the system must also provide relevant educational content that explains why those practices are recommended and how they impact soil health.

User preferences influence the prioritization of organic fertilization recommendations.

Given a user has specified certain organic fertilizers as their preferred choices, when the Organic Fertilization Guide generates recommendations, then the system must prioritize these preferred fertilizers in the output list over non-preferred options.

User can reset their organic fertilization preferences back to defaults.

Given a user wishes to start fresh with their preferences, when they select the option to reset their organic fertilization preferences, then the system must revert preferences to default settings and notify the user of the changes made.

Feedback and Improvement Mechanism

User Story: As a farmer, I want to provide feedback on the fertilization recommendations so that the system can improve its suggestions and better meet my farming needs.
Description: The Organic Fertilization Guide will incorporate a Feedback and Improvement Mechanism, allowing users to provide feedback on the effectiveness of the fertilization recommendations. This feature will enable continuous improvement of the recommendation algorithms based on real-world results from users. By collecting user feedback, the system can refine its suggestions, ensuring they remain relevant and effective over time, thus enhancing user trust and satisfaction.
Acceptance Criteria: User submits feedback on the effectiveness of the organic fertilization recommendation after applying it on their crops.

Given a user has received an organic fertilization recommendation, when they apply it to their crops, then they can submit feedback on its effectiveness via a dedicated feedback form.

A user reviews previous feedback submissions and their impact on recommendation adjustments.

Given a user has submitted feedback on fertilization recommendations, when they access the feedback history, then they should see a summary of their past feedback and any corresponding adjustments made to the recommendations based on that feedback.

User receives notifications about changes made to the fertilization recommendations based on collected feedback.

Given that the recommendation engine has processed user feedback, when a user logs into AgriSphere, then they should receive a notification detailing any changes made to their fertilization recommendations as a result of user input.

An admin user reviews overall feedback trends to enhance the fertilization recommendation algorithm.

Given that an admin user wants to improve the recommendation mechanism, when they access the feedback analytics dashboard, then they should be able to view trends in user feedback and insights on how this feedback has influenced recommendations over time.

Users rate the clarity and relevance of the recommendations provided by the Organic Fertilization Guide.

Given a user receives a fertilization recommendation, when they complete a follow-up survey, then they should have the option to rate the recommendation's clarity and relevance on a scale of 1 to 5.

A user provides specific comments on their experience with the fertilization recommendations, targeting areas for improvement.

Given that a user has used the fertilization recommendation, when they provide open-text feedback, then their comments should be successfully recorded and stored in the system for analysis.

Users confirm the implementation of suggestions in their farming practices after feedback collection.

Given a user has implemented suggestions from the fertilization recommendation, when feedback is gathered, then the user should indicate whether they have adopted the suggestions and the resulting impact on their crops.

Sustainable Water Management Toolkit

A comprehensive set of tools designed to assess and optimize water usage practices in sustainable farming. This toolkit includes water-saving irrigation techniques, soil moisture management strategies, and rainfall analysis, allowing farmers to conserve water, improve crop resilience, and enhance sustainability in their operations.

Requirements

Soil Moisture Assessment Tool

User Story: As a farmer, I want to monitor soil moisture levels in real-time so that I can optimize my irrigation process and improve crop health.
Description: The Soil Moisture Assessment Tool allows farmers to monitor the moisture levels in their soil in real time. By integrating sensors and IoT technology, this tool provides accurate feedback on soil conditions, helping farmers determine the optimal time for irrigation. This feature not only ensures efficient water usage but also enhances crop health and yield by preventing over or under-watering. With this tool, farmers can make data-driven decisions that promote sustainability and resource conservation.
Acceptance Criteria: Real-time monitoring of soil moisture levels during the growing season.

Given that the Soil Moisture Assessment Tool is activated, when a farmer checks the dashboard, then the tool displays the current moisture level in real-time with a refresh rate of every 5 minutes.

Farmers receive alerts for optimal irrigation timing based on moisture levels.

Given that soil moisture levels drop below the predefined threshold, when the sensor readings are taken, then the system sends an immediate alert to the farmer's mobile device indicating the need for irrigation.

Integration of various sensor types for comprehensive soil analysis.

Given that multiple types of sensors (capacitance, tensiometer, etc.) are deployed in the field, when the Soil Moisture Assessment Tool is utilized, then it consolidates data from all sensors and provides an aggregated moisture level reading on the dashboard.

Historical soil moisture data analysis for trend identification.

Given that the Soil Moisture Assessment Tool has been in operation for over a month, when the farmer accesses the historical data section, then the tool displays a graphical representation of soil moisture trends over the last 30 days.

User-friendly interface for soil moisture management and irrigation recommendations.

Given that a farmer has logged into the AgriSphere platform, when they navigate to the Soil Moisture Assessment Tool section, then the interface must be intuitive, allowing users to easily access moisture data and recommended actions for irrigation.

Compatibility of the Soil Moisture Assessment Tool with existing IoT devices.

Given that the farmer uses various IoT devices for farming, when the Soil Moisture Assessment Tool is configured, then it should successfully integrate with at least 80% of the farmer’s existing IoT devices without errors.

Feedback mechanism for users to report issues or suggest improvements.

Given that a farmer is using the Soil Moisture Assessment Tool, when they encounter an issue or have a suggestion, then they should be able to submit feedback directly through the tool, which gets logged for future review by the development team.

Rainfall Prediction Module

User Story: As a farmer, I want to receive accurate rainfall predictions so that I can manage my irrigation schedule effectively and conserve water.
Description: The Rainfall Prediction Module utilizes satellite imagery and weather modeling to forecast rainfall patterns accurately. By predicting rainfall, farmers can adjust their irrigation schedules accordingly, ensuring that water resources are used efficiently. This module not only aids in better planning for irrigation but also helps in mitigating the effects of droughts and floods. By integrating this feature, farmers can increase their resilience to weather variations and enhance the sustainability of their farming practices.
Acceptance Criteria: Farmers receive real-time rainfall forecasts via the AgriSphere dashboard before they need to make irrigation decisions for a critical crop cycle.

Given that the rainfall prediction module is integrated into the AgriSphere platform, when a farmer accesses the dashboard, then they should receive accurate rainfall forecasts 48 hours in advance with at least 80% prediction accuracy based on historical data.

A user wants to adjust their irrigation schedule based on the predicted rainfall for the upcoming week.

Given that the user is utilizing the rainfall prediction module, when they view the weekly rainfall forecast, then they should be able to modify their irrigation schedule within the platform accordingly and receive a confirmation of these adjustments.

A farmer utilizes the rainfall prediction data to make decisions on water conservation strategies during a drought season.

Given that the rainfall prediction module has assessed a drought condition, when the farmer reviews the insights, then they should receive at least three actionable recommendations for water conservation that are tailored to their specific crop types and soil conditions.

The rainfall prediction module provides data that helps farmers plan for potential flooding events.

Given that a flooding event is predicted within the next week, when the farmer accesses the module, then they should receive alerts and precautionary measures to help mitigate the impact, with an emphasis on specific practices for their farm type.

Farmers need to evaluate the accuracy of the predictions given by the rainfall prediction module during a preceding rainy season.

Given that the rainfall prediction module was actively used during the previous rainy season, when the farmer reviews the past predictions, then they should find that the accuracy rate is recorded and meets or exceeds the 75% benchmark as per the system's log.

The rainfall prediction module is utilized during a government-sponsored workshop on sustainable farming practices to educate farmers.

Given that the workshop utilizes the AgriSphere rainfall prediction module for training purposes, when participants interact with the module, then they should report a 90% satisfaction rating regarding its usability and effectiveness in making informed irrigation decisions.

Water-Saving Irrigation Techniques Guide

User Story: As a farmer, I want access to a guide on water-saving irrigation techniques so that I can implement practices that conserve water and improve my yields.
Description: The Water-Saving Irrigation Techniques Guide provides farmers with a comprehensive set of best practices and innovative techniques for water-efficient irrigation. This guide includes methods such as drip irrigation, sprinkler systems, and the use of moisture sensors to optimize the water usage in crops. By adopting these techniques, farmers can significantly reduce water waste while improving their crop resilience. This requirement integrates seamlessly into the Sustainable Water Management Toolkit, offering actionable insights and practical strategies.
Acceptance Criteria: User accesses the Water-Saving Irrigation Techniques Guide from the Sustainable Water Management Toolkit within the AgriSphere platform.

Given the user is logged into AgriSphere, When they navigate to the Sustainable Water Management Toolkit, Then they should be able to locate and open the Water-Saving Irrigation Techniques Guide without errors.

User reviews the content of the Water-Saving Irrigation Techniques Guide for applicability in their farming operations.

Given the guide is opened, When the user scrolls through the document, Then all sections should load properly and contain relevant information about drip irrigation, sprinkler systems, and moisture sensors.

User applies a recommended water-saving technique to their current irrigation system based on insights from the guide.

Given the user selects a technique from the guide, When they implement the technique in their irrigation practices, Then they should report at least a 20% reduction in water usage compared to their previous practices within one month.

User provides feedback on the effectiveness of the Water-Saving Irrigation Techniques Guide after implementing one or more techniques.

Given the user has implemented techniques from the guide, When they submit feedback within the AgriSphere platform, Then their feedback should be collected and categorized for evaluation by AgriSphere team.

User checks for updates to the Water-Saving Irrigation Techniques Guide over time.

Given user access to the guide, When they check for updates within the guide section, Then they should be notified of any new practices or revisions to existing techniques within two weeks of release.

User participates in an interactive session or webinar based on the Water-Saving Irrigation Techniques Guide.

Given a scheduled webinar, When the user registers and attends, Then they should receive a summary of key takeaways and additional resources after the session.

User assesses their water savings after three months of implementing recommendations from the guide.

Given that three months have passed since implementation, When the user reviews their water usage data, Then they should see an overall positive trend indicating improved water conservation and crop resilience.

Irrigation Scheduling Automation

User Story: As a farmer, I want to automate my irrigation scheduling so that I can manage water usage efficiently and ensure my crops are consistently hydrated.
Description: The Irrigation Scheduling Automation feature enables farmers to set up automated irrigation systems based on soil moisture levels and weather forecasts. This system will trigger irrigation only when necessary, which conserves water and promotes healthy crop growth. By taking advantage of automation, farmers can save time, reduce labor costs, and ensure that their crops are optimally watered without manual intervention. This feature supports the overarching goal of sustainable and efficient farming practices.
Acceptance Criteria: Irrigation scheduling is initiated by a farmer after logging into the AgriSphere dashboard during a dry season to conserve water.

Given the farmer has set a threshold soil moisture level, When the soil moisture falls below this threshold, Then the system should automatically schedule irrigation to begin within 30 minutes.

A farmer is reviewing their irrigation schedule on the AgriSphere dashboard for the upcoming week, considering predicted weather changes.

Given the weather forecast indicates rain, When the farmer views the irrigation schedule, Then the system should display an updated schedule that postpones irrigation for the days with expected rainfall.

A farmer has equipped their field with soil moisture sensors and has integrated them with AgriSphere for real-time data monitoring.

Given the soil moisture sensors are functioning correctly, When soil moisture data is received, Then the irrigation scheduling system should trigger notifications if moisture levels drop below the set threshold for more than two consecutive hours.

The automated irrigation system is actively running based on a scheduled program to optimize water use.

Given the irrigation system is triggered, When the irrigation process completes, Then the system should log the water usage and update the dashboard to reflect current soil moisture levels and irrigation status.

The farmer is looking to manually adjust the automatic irrigation settings through the AgriSphere dashboard.

Given the farmer accesses the irrigation settings, When adjustments are made to the moisture threshold and confirmed, Then the system should save the new settings and immediately apply them to the next irrigation cycle without requiring a restart.

A farmer wishes to generate a report on water usage efficiency after a month of using the irrigation automation feature.

Given the farmer selects the report generation option, When the report is generated, Then it should include metrics on total water used, irrigation frequency, and soil moisture levels, along with a comparison to prior months' data.

A farmer is alerted through the AgriSphere app about system failures or errors in the automated irrigation process.

Given the irrigation system encounters a failure, When the error is identified, Then the farmer should receive a real-time notification via the app detailing the issue, including recommendations for immediate corrective actions.

Water Usage Analytics Dashboard

User Story: As a farmer, I want to view analytics on my water usage over time so that I can assess my irrigation practices and make improvements.
Description: The Water Usage Analytics Dashboard allows farmers to visualize their water consumption patterns over time. By providing insights into water usage alongside crop yields, farmers can identify trends and make informed decisions regarding their irrigation practices. This feature helps in understanding the impact of various irrigation methods on water savings and crop productivity. The integration of this dashboard empowers farmers to optimize their water usage and reinforces their commitment to sustainability.
Acceptance Criteria: Farmers access the Water Usage Analytics Dashboard to review their water consumption data over the past month and compare it with crop yield data.

Given the user accesses the Water Usage Analytics Dashboard, when the data is loaded, then the dashboard displays water consumption trends and corresponding crop yield data for the selected period.

A farmer utilizes the dashboard to determine the effectiveness of a new irrigation method implemented last season by examining changes in water usage and yield.

Given the farmer selects the new irrigation method, when the dashboard updates, then it shows a clear comparison of water usage and crop yield before and after the implementation.

During the annual review, farm managers use the dashboard to present water savings achieved over the year to stakeholders.

Given the user selects the 'Annual Overview' report, when the report is generated, then it displays a summary of total water usage savings along with percentage reductions compared to previous years.

Farmers want to analyze the rainfall data to understand its impact on their irrigation practices as shown in the dashboard.

Given the user selects the 'Rainfall Analysis' feature, when the data is visualized, then it provides a comprehensive graphical representation of rainfall patterns alongside irrigation usage data.

A farmer wishes to export their water usage and crop yield data for further analysis in another software application.

Given the user clicks on the 'Export Data' button, when the format options are selected, then the system exports the data successfully in the chosen format (CSV, Excel).

Farmers receive alerts from the dashboard regarding unusually high water usage that might indicate a leak or inefficiency in their irrigation system.

Given the user sets up alerts for water usage thresholds, when the actual usage exceeds the threshold, then a notification is triggered and displayed on the dashboard.

Composting and Soil Health Coach

This interactive coaching feature guides farmers in implementing effective composting techniques, enhancing soil health, and promoting greenhouse gas reduction. It provides tailored advice on compost materials, decomposition processes, and soil amendments, fostering a circular economy approach while improving farm sustainability and fertility.

Requirements

Interactive Composting Guide

User Story: As a farmer, I want an interactive guide on composting so that I can improve my composting methods, enhance my soil health, and contribute to sustainability practices on my farm.
Description: This requirement focuses on creating an interactive guide that provides step-by-step instructions for farmers on how to effectively compost different organic materials. It will include details on ideal composting methods, temperature management, moisture levels, and timeline for compost maturity. The integration of this guide within the AgriSphere platform ensures that farmers have direct access to practical, easy-to-follow directions that improve their composting techniques, leading to better soil health and reduced waste.
Acceptance Criteria: Accessing the Interactive Composting Guide from the AgriSphere dashboard during the planting season to schedule composting activities.

Given a user is logged into the AgriSphere platform and is on the dashboard, when they click on the 'Composting Guide' link, then they should be redirected to the interactive composting guide which is fully loaded within 5 seconds.

Using the guide to implement a compost recipe for kitchen scraps and yard waste.

Given the user is viewing a specific compost recipe in the guide, when they follow the step-by-step instructions provided, then they should be able to successfully create a compost pile with the listed materials and methods without encountering any errors.

Monitoring the compost maturity process via the guide’s timeline feature.

Given the user has initiated the composting process, when they access the timeline feature in the guide, then they should see an accurate countdown indicating the expected time for compost maturity based on the materials used and the current conditions.

Adjusting moisture levels for optimal composting as suggested in the guide.

Given the user is checking their compost pile’s moisture level using the recommended methods in the guide, when they adjust the moisture level to the guide's suggested range, then the guide should confirm the adjustments and provide feedback on future monitoring steps.

Utilizing the guide to troubleshoot common composting issues.

Given a user encounters a problem with their compost pile, when they use the troubleshooting section of the guide, then they should find clear solutions for the identified problem that can be applied immediately.

Receiving feedback on the composting process through the platform’s user interface.

Given the user has been following the guide for at least two weeks, when they access the feedback feature, then they should receive a summary report on the composting conditions, with suggestions for improvements based on their input.

Accessing educational resources related to soil health and composting from the guide.

Given a user is using the interactive composting guide, when they select 'Learn More about Soil Health', then they should be presented with educational articles and resources relevant to composting and soil improvement within 3 seconds.

Customized Soil Health Assessment

User Story: As a farmer, I want to assess my soil health to receive tailored composting recommendations so that I can enhance my soil and ultimately improve my crop production.
Description: This requirement aims to incorporate a feature that allows users to input specific soil health data, such as nutrient levels, pH, and organic matter content. The platform will then analyze this data to provide tailored recommendations for compost materials and amendments needed to optimize soil health. This customization will empower farmers by ensuring that their composting practices are aligned with their soil’s unique needs, thereby improving crop yields and farm sustainability.
Acceptance Criteria: User inputs specific soil data for assessment.

Given a farmer accessing the platform, when they enter soil nutrient levels, pH, and organic matter content, then the system should validate that all required fields are filled and display a success message if data is correct.

Platform generates tailored recommendations based on input data.

Given that the user has provided valid soil health data, when they submit the information, then the system should analyze the data and output specific recommendations for compost materials and soil amendments optimized for the entered soil conditions.

User can view and download the assessment report.

Given the user has received the tailored recommendations, when they click on the report download button, then the system should generate and provide a downloadable report containing the analysis and recommendations in PDF format.

User receives alerts or suggestions for improvement.

Given that the user has completed a composting task based on initial recommendations, when they re-assess their soil health data after a significant time has passed, then the system should offer new insights or alerts regarding changes in soil conditions and any additional recommendations needed.

User interacts with the coaching feature for further guidance.

Given that a user is viewing their recommendations, when they select the coaching option, then the system should provide interactive tips and a step-by-step guide for effective implementation of the composting and soil amendment strategies suggested.

User can compare soil health over time.

Given the user has submitted soil health assessments multiple times, when they view the historical data section, then the system should display a comparison chart of their soil health metrics over the entered periods to track improvements or changes.

Composting Material Database

User Story: As a farmer, I want access to a database of composting materials so that I can choose the best ingredients for my compost, ensuring high-quality soil amendments for my crops.
Description: This requirement entails creating a comprehensive database of composting materials, detailing their nutrient content, decomposition rates, and suitability for different types of composting systems. This feature will be seamlessly integrated into the Composting and Soil Health Coach, allowing users to easily find and select optimal materials for enriching their compost. By providing this information, AgriSphere will enable farmers to make informed decisions about composting materials, which is crucial for building high-quality compost and enriching soil health.
Acceptance Criteria: Farmers access the Composting Material Database to find suitable composting materials for their specific type of composting system during the compost preparation phase.

Given a user navigates to the Composting Material Database, when they specify their composting system type and desired nutrient content, then the system should return a list of recommended materials with detailed nutrient profiles and decomposition rates.

A user wants to understand the environmental impact of different composting materials while planning their compost pile.

Given a user searches for composting materials in the database, when they select a specific material, then the system should display information on its greenhouse gas emissions, nutrient content, and suitability for various soil types alongside user reviews.

An agricultural consultant guides a farmer in selecting compost materials using the system for a new composting project they are starting.

Given the consultant inputs specific requirements related to the farm's soil and climate conditions, when they search the database, then they should receive a tailored list of compost materials that meet those criteria, along with their benefits for soil health.

A user wants to compare decomposition rates of various compost materials for planning their composting schedule.

Given a user selects multiple compost materials from the database, when they choose the comparison feature, then the system should provide a side-by-side view of decomposition rates, nutrient availability over time, and recommended usage guidelines for all selected materials.

Farmers are looking to enhance soil health and want to know the amendments to combine with compost materials from the database.

Given the user selects a specific compost material, when they request information on soil amendments, then the system should provide a list of compatible amendments, their benefits, application rates, and potential impact on soil health.

A user is interested in the sourcing of compost materials and their availability based on seasonal factors.

Given a user queries the database for a specific composting material, when they view material details, then the system should display sourcing options, seasonal availability, and local suppliers where that material can be purchased.

Environmental Impact Tracking

User Story: As a farmer, I want to track the environmental impact of my composting efforts so that I can understand the benefits of sustainable practices and make adjustments as necessary.
Description: This requirement focuses on developing a feature that tracks the environmental benefits of composting practices implemented by farmers using the AgriSphere platform. The feature will quantify reductions in greenhouse gas emissions, improvements in soil quality, and enhancements in water retention capabilities. By providing ongoing feedback on the environmental impact of their practices, farmers can see the direct benefits of composting, which fosters continued engagement with the platform and encourages sustainable farming practices.
Acceptance Criteria: Tracking the environmental impacts of composting efforts over time as the farmer inputs data into the AgriSphere platform, visualizing the changes in greenhouse gas emissions and soil health metrics displayed on the dashboard.

Given a signed-up user using the AgriSphere platform, When they input composting data relevant to their farm, Then the system shall display quantifiable metrics regarding greenhouse gas reduction, soil quality improvements, and water retention enhancements on the dashboard within 24 hours.

Farmers want to evaluate the effectiveness of specific composting techniques on their farm's soil health metrics before and after implementation.

Given a user has selected a specific composting method, When they review the environmental impact section on the AgriSphere platform, Then they should see a clear comparison of soil health metrics before and after the composting method was applied, including at least two crop growth cycles.

Users are engaging with the platform and providing feedback on the composting feature, tracking their real-time improvements related to farming practices and resource conservation.

Given that a user has been actively utilizing the composting feature for at least three months, When they access the feedback report on the AgriSphere platform, Then they should receive a personalized report detailing their improvements in greenhouse gas emissions reductions and resource conservation practices with specific metrics.

A farmer uses a tutorial feature to guide them in selecting compost materials and techniques tailored to their specific farm conditions.

Given a user is utilizing the composting and soil health coaching feature, When they request a guide on suitable composting materials for their farm type, Then the system shall provide a tailored list of materials, along with relevant decomposition timelines and techniques within 5 minutes.

Evaluating the overall environmental impact of composting practices over the season to prepare reports for sustainability funding applications and compliance.

Given a user accesses the seasonal impact report feature on the AgriSphere platform, When they select the composting practices for the specific season, Then the system shall generate a comprehensive report including total greenhouse gas emission reductions, improvements in soil health metrics, and photographs of improved crop yields, available for download in PDF format.

Community Sharing Forum

User Story: As a farmer, I want to share my composting experiences in a community forum so that I can learn from others and contribute to a collective knowledge base that improves soil health practices.
Description: This requirement aims to create a community feature within the AgriSphere platform where farmers can share their composting experiences, techniques, and results with each other. This forum will facilitate knowledge exchange, fostering a community of practice around effective composting and soil health management. By promoting collaboration and peer learning, farmers can benefit from diverse perspectives and innovative solutions, enhancing the overall effectiveness of composting practices across the platform’s user base.
Acceptance Criteria: Farmers participate in the community forum to share their personal composting experiences, techniques, and outcomes after using the Composting and Soil Health Coach feature.

Given a user has successfully logged into the AgriSphere platform, when they navigate to the Community Sharing Forum, then they should be able to post their experiences and techniques related to composting and soil health.

Users can search for specific composting topics or techniques in the community forum to find relevant discussions and contributions from other farmers.

Given there is a search functionality available in the Community Sharing Forum, when a user enters a keyword related to composting, then the system should return a list of posts that match the keyword.

Farmers browse the Community Sharing Forum to learn from others and apply new techniques in their own composting practices effectively.

Given a user accesses the Community Sharing Forum, when they view the posts, then each post should display the author's name, date of post, and the content in a clear and readable format.

Users provide feedback on the effectiveness of other farmers' composting techniques shared in the forum.

Given a user is reading a post in the Community Sharing Forum, when they select the 'Like' or 'Comment' option, then their feedback should be recorded and displayed beneath the respective post.

Farmers receive notifications about new posts or comments relevant to their interests in composting and soil health.

Given a user has subscribed to specific topics in the Community Sharing Forum, when a new post or comment is added to these topics, then the user should receive a notification through the AgriSphere platform.

Users can view a summary of the most popular composting techniques discussed in the community.

Given the Community Sharing Forum collects user interactions, when a user selects the 'Popular Techniques' section, then they should view a curated list of the most discussed composting techniques based on user engagement metrics.

Farmers can report inappropriate or irrelevant content within the Community Sharing Forum.

Given a post is found to be inappropriate, when a user selects the 'Report' option on the post, then the system should log the report and notify the moderation team for review.

Eco-Impact Dashboard

A visually engaging dashboard showcasing the environmental impact of user farming practices. This feature synthesizes data analytics to provide insights into carbon footprint, water conservation, and biodiversity benefits, empowering farmers to recognize the effects of their practices and motivate them to adopt more sustainable approaches.

Requirements

Real-Time Environmental Metrics

User Story: As a farmer, I want to see real-time environmental metrics so that I can make quick decisions to reduce my impact on the environment and enhance my sustainability practices.
Description: This requirement entails the integration of real-time data collection methods that will constantly update the Eco-Impact Dashboard with metrics related to carbon emissions, water usage, and biodiversity levels associated with farming practices. By utilizing IoT devices and other sensors, this functionality will provide users with an up-to-date view of their environmental impact, allowing them to make immediate adjustments to their practices. This real-time capability will empower farmers with timely insights, fostering immediate transparency and action towards sustainability improvements.
Acceptance Criteria: Real-time display of environmental metrics on Eco-Impact Dashboard

Given the user is logged into AgriSphere, when they navigate to the Eco-Impact Dashboard, then they should see real-time updates of carbon emissions, water usage, and biodiversity levels reflected immediately upon changes in data collection from IoT devices or sensors.

Accuracy of data collection from IoT devices

Given the IoT devices are installed in the field, when data is collected, then the collected metrics for carbon emissions, water usage, and biodiversity levels should have an accuracy rate of at least 95%, validated through periodic manual checks and comparisons with standard measurement methods.

User notifications for significant environmental changes

Given the user is monitoring the Eco-Impact Dashboard, when the real-time metrics indicate a significant environmental change (e.g., excessive water usage or high carbon emissions), then the user should receive an automated alert, prompting them to review and adjust their practices.

Historical data tracking for sustainability trends

Given the user accesses the Eco-Impact Dashboard, when they select the historical data feature, then they should be able to view and analyze past data trends in carbon emissions, water usage, and biodiversity levels over customizable time periods (e.g., weekly, monthly, annually).

Cross-device compatibility of the Eco-Impact Dashboard

Given the user accesses the Eco-Impact Dashboard from various devices (desktop, tablet, smartphone), when they log in, then the dashboard should display consistently with all functionalities available across devices without any loss of data or usability.

Integration with existing reporting tools

Given the user wants to generate a sustainability report, when they select the report generation option from the Eco-Impact Dashboard, then the system should seamlessly compile real-time environmental metrics and historical data into a customizable report format suitable for sharing with stakeholders.

User engagement with sustainability recommendations

Given the user views the Eco-Impact Dashboard, when they access the recommendations feature, then they should see tailored suggestions based on their real-time metrics that aim to improve sustainability practices, complete with actionable steps and estimated impact.

Customizable Dashboard Widgets

User Story: As a farmer, I want to customize my dashboard widgets so that I can prioritize the data that matters most to my farming practices, improving my engagement and decision-making.
Description: The requirement involves creating customizable widgets on the Eco-Impact Dashboard that allow users to tailor the displayed information according to their specific interests and priorities. Users will have the ability to select, move, and resize widgets to create a unique dashboard layout that best fits their operational needs. This feature enhances the user experience by allowing each farmer to focus on the most relevant data, facilitating better engagement with the platform and promoting a deeper understanding of their agricultural practices' environmental impacts.
Acceptance Criteria: User wants to add a new widget to their Eco-Impact Dashboard to monitor water conservation metrics after attending a sustainability workshop.

Given the user is logged into the Eco-Impact Dashboard, when the user selects 'Add Widget', then they should be able to choose from a list of available widgets, specifically for water conservation, and successfully add it to their dashboard.

User intends to resize an existing widget on the Eco-Impact Dashboard to display more detailed information about their carbon footprint.

Given the user has an existing carbon footprint widget on their Eco-Impact Dashboard, when the user drags the corner of the widget to resize it, then the widget should adjust its dimensions accordingly without any loss of data or functionality.

User needs to rearrange the layout of their Eco-Impact Dashboard to prioritize pest prediction metrics over other data visualizations.

Given the user is on the Eco-Impact Dashboard, when the user clicks and drags the pest prediction widget to a new position on the dashboard, then the widget should update its position in real-time and retain its settings after saving the layout.

User wants to remove a widget from their Eco-Impact Dashboard to declutter their view.

Given the user has multiple widgets displayed on their Eco-Impact Dashboard, when the user clicks the 'remove' icon on a widget, then the widget should be removed from the dashboard with a confirmation message displayed to the user.

User wants to save their customized layout of the Eco-Impact Dashboard after making changes for future reference.

Given the user has rearranged or customized their widgets on the Eco-Impact Dashboard, when the user clicks the 'Save Layout' button, then the dashboard should save the new layout and be restored to this layout when the user logs in again.

User is reviewing their Eco-Impact Dashboard and wants to revert to the default widget layout.

Given the user has modified their Eco-Impact Dashboard, when the user selects 'Revert to Default Layout', then the dashboard should restore to its original state with all default widgets in place.

Sustainability Improvement Recommendations

User Story: As a farmer, I want to receive recommendations on how to improve my environmental impact so that I can implement practical changes and contribute positively to sustainability efforts.
Description: This requirement focuses on providing actionable recommendations right within the Eco-Impact Dashboard based on the environmental metrics presented. By analyzing data trends and integrating machine learning algorithms, the system will automatically suggest specific actions farmers can take to improve their eco-impact, such as adjusting irrigation schedules or modifying crop rotation practices. This proactive guidance will support farmers in taking practical steps toward enhancing sustainability and achieving better environmental outcomes.
Acceptance Criteria: User accesses the Eco-Impact Dashboard after entering their farming data for the current season.

Given the user has provided their farming data, when they view the Eco-Impact Dashboard, then they should see actionable sustainability improvement recommendations based on their metrics displayed.

User receives a notification on the Eco-Impact Dashboard regarding a significant increase in water usage.

Given the user has an increase in water usage metrics, when they check the notifications, then they should receive specific recommendations for optimizing irrigation practices to enhance water conservation.

User reviews the Eco-Impact Dashboard monthly to evaluate their sustainability progress over time.

Given the user accesses the Eco-Impact Dashboard at the start of a new month, when they select the 'Monthly Report' option, then they should be presented with personalized recommendations for improving sustainability based on their previous month's environmental metrics and trends.

User alters their irrigation schedule based on the recommendations provided by the Eco-Impact Dashboard.

Given that the user has chosen to modify their irrigation schedule, when they implement changes suggested by the dashboard, then the system should log these changes and provide feedback on projected sustainability improvements within one week.

User applies a new crop rotation plan after receiving recommendations from the Eco-Impact Dashboard.

Given the user has received a recommendation for crop rotation adjustments from the Eco-Impact Dashboard, when they apply this plan in the next planting season, then the dashboard should update their eco-impact metrics to reflect changes after the harvest.

Multiple users within a farm management team utilize the Eco-Impact Dashboard to align on sustainability goals.

Given that multiple users are working on the Eco-Impact Dashboard simultaneously, when they discuss and implement sustainability recommendations, then all team members should see real-time updates of metrics and recommendations to facilitate collaborative efforts.

Historical Data Analysis

User Story: As a farmer, I want to analyze historical data about my environmental impact so that I can evaluate my progress and make informed decisions for future sustainability initiatives.
Description: The requirement entails integrating historical data analysis capabilities within the Eco-Impact Dashboard to allow farmers to view their past environmental impact metrics over time. This feature will enable users to compare their current practices against historical performance, providing insights into trends and the effectiveness of previously implemented sustainability measures. This comparative analysis aids in setting future goals and enhancing long-term strategies for sustainability.
Acceptance Criteria: Historical Comparison of Environmental Impact Metrics

Given the user has accessed the Eco-Impact Dashboard, when they select a specific year to analyze, then the dashboard displays accurate historical environmental impact metrics for carbon footprint, water conservation, and biodiversity for that selected year.

Trends Visualization over Time

Given the user is viewing their historical data, when they select to visualize trends, then the dashboard provides a graphical representation of changes in environmental impact metrics over the selected time range.

Comparison of Current Practices to Historical Metrics

Given the user has set their current farming practices in the Eco-Impact Dashboard, when they trigger a comparison analysis, then the dashboard displays a side-by-side comparison of their current metrics against the historical data.

Goal Setting Based on Historical Insights

Given the user has reviewed their historical metrics, when they choose to set future sustainability goals, then the system suggests realistic targets based on previous performance trends.

User-Friendly Interface for Historical Data Access

Given the user navigates to the historical data section, when they interact with the interface, then they can easily filter, sort, and access historical data without technical difficulties.

Exporting Historical Data Reports

Given the user wants to analyze their historical data externally, when they request a report, then the system allows them to export comprehensive historical environmental impact metrics in a user-friendly format (e.g., PDF, Excel).

Real-time Updates of Historical Data Analysis

Given the user has been using the Eco-Impact Dashboard for ongoing monitoring, when there are new updates or data available, then the dashboard automatically refreshes the historical metrics to include the most recent data.

Community Impact Sharing

User Story: As a farmer, I want to share my sustainability progress with the community so that I can inspire others and learn from their experiences, enhancing collective environmental stewardship.
Description: This requirement involves creating a feature that allows farmers to share their sustainability metrics and improvements with a community of peers within the AgriSphere platform. Through this sharing mechanism, users can inspire and motivate others by showcasing their successful practices and learning from one another's experiences. This feature fosters a sense of community and collaboration, making sustainability a collective effort among farmers.
Acceptance Criteria: Farmers want to share their sustainability metrics with their peers in the AgriSphere platform to foster collaboration and motivation.

Given a user is logged into the AgriSphere platform, when they navigate to the Community Impact Sharing section, then they should be able to create a new post including their sustainability metrics and a description of their practices.

A user views posts from their peers to understand and learn from different farming practices related to sustainability.

Given a user is on the Community Impact Sharing page, when they scroll through the list of posts, then they should be able to see each post's sustainability metrics and descriptions from multiple users.

Farmers wish to provide feedback and ask questions about sustainability practices shared by their peers.

Given a user is viewing a Community Impact Sharing post, when they click on the comment section, then they should be able to leave a comment or question that is visible to the post's author and other users.

The platform needs to notify users about new posts or comments related to sustainability metrics that are added by their peers.

Given the user has opted in for notifications, when a new post or comment is added in the Community Impact Sharing section, then the user should receive a notification on their dashboard.

A user wants to filter the shared posts based on specific sustainability metrics like carbon footprint or water conservation.

Given a user is on the Community Impact Sharing page, when they apply a filter for carbon footprint or water conservation, then the displayed posts should update to show only those that meet the selected criteria.

Farmers need to edit or delete their shared posts if they want to update their information or remove it from the community feed.

Given a user has shared a post in the Community Impact Sharing section, when they click on the edit or delete option, then they should be able to successfully update or remove their post as intended.

Farmers would like to track engagement metrics on their shared posts to evaluate the impact of their contributions.

Given a user has shared a post, when they view their post, then they should see metrics indicating the number of views, likes, and comments for that post.

Sustainability Progress Tracker

A dynamic tool that allows farmers to set sustainability goals and track their progress over time. By integrating data on resources used, emissions reduced, and biodiversity improved, this feature keeps users engaged and accountable to their eco-friendly commitments, driving continuous improvement in sustainable practices.

Requirements

Sustainability Goal Setting

User Story: As a farmer, I want to set specific sustainability goals so that I can track my progress and stay motivated in my commitment to eco-friendly farming practices.
Description: This requirement allows farmers to define specific sustainability goals such as reducing water usage, increasing biodiversity, or lowering carbon emissions. It will enable users to input quantifiable targets and timelines for their goals, enhancing commitment and accountability. The feature will integrate seamlessly with existing data sources in AgriSphere, leveraging IoT sensor data and satellite imagery to populate initial baselines and provide ongoing updates as users progress. This is critical for encouraging proactive engagement with sustainable practices and providing measurable metrics for success.
Acceptance Criteria: Sustainability Goal Setting for Water Usage Reduction

Given a farmer has access to the Sustainability Progress Tracker, when they set a sustainability goal for reducing water usage, then they must be able to input a specific target (in liters) and timeline (in months) and receive feedback on their initial baseline based on IoT sensor data.

Tracking Progress on Biodiversity Goals

Given a farmer has established a goal to increase biodiversity, when they log the actions taken (e.g., planting cover crops, creating habitats) in the Sustainability Progress Tracker, then they should receive real-time updates on their progress and insights derived from satellite imagery.

Setting Carbon Emission Reduction Targets

Given a user wants to lower their carbon emissions, when they define a quantitative target (in kg of CO2) and a deadline, then the system must document these parameters and integrate with existing emission data sources to provide ongoing calculations of progress.

Integration with Existing Data Sources

Given that the user inputs sustainability goals, when the system retrieves initial baselines from integrated IoT and satellite data, then it must present accurate and reliable data points for water usage, emissions, and biodiversity status.

User Notifications for Goal Progress Milestones

Given a farmer is tracking their sustainability goals, when they reach a milestone in their goal timeline, then they must receive a notification summarizing their progress and suggestions for next steps to maintain momentum.

Dashboard Visualization of Sustainability Goals

Given that a user has set multiple sustainability goals, when they access the Sustainability Progress Tracker dashboard, then they should see a graphical representation of their progress towards each goal with user-friendly visualization tools.

User Feedback Mechanism for Sustainability Practices

Given a farmer has been using the Sustainability Progress Tracker, when they provide feedback on the effectiveness of their sustainability practices, then the system should enable them to submit their insights and receive tailored advice to optimize their strategies.

Progress Dashboard

User Story: As a farmer, I want to view a dashboard that displays my progress on sustainability goals so that I can easily understand where I stand and what areas need improvement.
Description: The Progress Dashboard will serve as a central visual display where farmers can monitor their achievements against set sustainability goals. This interactive dashboard will aggregate data points such as water usage, emissions, and biodiversity levels, presenting them in real-time through graphs and charts. Users can view historical data, compare progress over time, and gain insights into trends, which aids in making informed decisions. Furthermore, it will integrate with notifications to remind users of their targets or upcoming assessments, promoting continual engagement with sustainability efforts.
Acceptance Criteria: Farmers log into the AgriSphere platform to review their sustainability progress over the previous month, including water usage, emissions, and biodiversity metrics.

Given the user is logged into the Progress Dashboard, when they select the 'Monthly Report' option, then they should see a detailed overview of their water usage, emissions reduced, and biodiversity improvement metrics displayed in graphs for the previous month.

Users receive a notification about their sustainability targets as they approach an assessment deadline for their goals.

Given the user has set sustainability goals with defined deadlines, when the notification system triggers reminders, then the user should receive notifications at least 3 days prior to the assessment date, outlining the key metrics to review.

Farmers compare their progress over different months to identify trends in their sustainability practices through the dashboard.

Given the user selects the 'Trend Analysis' feature, when they specify a date range for comparison, then they should see a visual representation of their progress on water usage, emissions, and biodiversity improvement over that date range.

Users want to visualize their historical data to track improvement over time and adjust their practices accordingly.

Given the user accesses the historical data section of the Progress Dashboard, when they select a specific year, then they should be able to view detailed historical data on their resource usage, including yearly summaries and comparative graphs.

Farmers are looking for insights to enhance their sustainability practices based on the aggregated data presented in the dashboard.

Given the user explores the insights section, when they engage with the presented data, then they should receive actionable recommendations based on their historical performance in resource conserved, emissions reduced, and biodiversity improved.

Users interact with the graphical interface of the progress dashboard to drill down into specific sustainability metrics for more detailed information.

Given the user is viewing an aggregated graph of sustainability metrics, when they click on a specific data point, then they should be presented with a detailed view of that metric, including trends and historical changes related to that point.

Farmers utilize the automated irrigation scheduling feature in conjunction with the sustainability progress tracker to optimize resources.

Given the user has set irrigation scheduling based on sustainability metrics, when they review the irrigation recommendations, then the recommendations should reflect their current resource usage data and sustainability goals in real-time.

Automated Reporting Feature

User Story: As a farmer, I want to receive automated reports on my sustainability progress so that I can save time on tracking and easily share my results with stakeholders.
Description: This requirement focuses on delivering automated reports that summarize the sustainability progress over a specified period. Users will receive periodic reports detailing their resource usage, emissions reduction, and biodiversity impacts. These reports will feature insights on trends and comparisons with industry standards or peer data if available. This functionality will not only save farmers time but also provide them with evidence of their progress that can be shared with stakeholders or for compliance purposes, which is essential for enhancing transparency in agricultural practices.
Acceptance Criteria: User generates an automated sustainability report for the past month to review resource usage and trends.

Given the user is logged in and has sustainability data available, when the user selects the 'Generate Report' option for the past month, then the system should produce a report that includes total resource usage, emissions reduced, and biodiversity impacts for that month.

User compares their sustainability progress with industry standards through the automated report feature.

Given the user generates a sustainability report, when the data is populated, then the report should include a section that compares the user's metrics against relevant industry standards or peer data if available, clearly highlighting differences in resource usage and emissions reductions.

User schedules recurring automated sustainability reports for their progress tracking.

Given the user is on the sustainability progress tracker dashboard, when the user selects an option to schedule recurring reports (weekly, monthly, quarterly), then the system should allow the user to set the frequency and confirm the schedule, ensuring reports are delivered via email at the specified intervals.

User shares the generated sustainability reports with stakeholders via a unique link or email.

Given the user has generated a sustainability report, when the user chooses the share option, then the system should provide a unique link or email functionality that allows the user to send the report to specified stakeholders while preserving data security and privacy.

User receives notifications when new sustainability reports are generated and ready for review.

Given the user has enabled notifications for automated reports, when a new report is generated, then the user should receive an email or in-app notification informing them that the report is available for review.

User customizes the content and metrics included in their automated reports.

Given the user accesses the report settings, when the user selects specific metrics to include in their automated reports, then the system should save these preferences and apply them to all future reports generated, reflecting the user's selection accurately.

User accesses past sustainability reports for analysis and reference.

Given the user has previously generated reports, when the user navigates to the report archive section of the dashboard, then they should be able to view, download, or delete past reports with clear indicators of date and metrics included.

Goal Adjustment Capabilities

User Story: As a farmer, I want to adjust my sustainability goals based on new data or changing conditions so that my efforts remain relevant and effective.
Description: This feature allows farmers to revise existing sustainability goals based on changing circumstances or newly acquired data insights. This capability ensures that the users can adapt their sustainability practices to be more in line with emerging best practices or regulatory requirements as they evolve. It will present options for users to scale their goals up or down and will include options for justification of changes, thus promoting transparency in the decision-making process related to sustainability efforts.
Acceptance Criteria: User adjusts their sustainability goal after a review of their resource usage data and discovers they can reduce water consumption further than previously planned.

Given a user accesses their sustainability goal settings, When the user selects to adjust their water consumption goal and specifies a new lower target, Then the system should reflect the updated goal in their dashboard and log the justification for the change.

A farmer realizes that seasonal pest predictions have improved and decides to raise their goal for reducing pesticide use accordingly.

Given a user views their pest prediction insights, When the user increases the target for pesticide reduction, Then the system should allow the user to input justification for the change and display the updated goal on the sustainability tracker.

At the end of the quarter, a farmer assesses their progress and wishes to lower their emissions reduction goal due to unforeseen circumstances affecting their operations.

Given a user navigates to their sustainability progress tracker, When the user chooses to decrease their emissions reduction goal and submits a reason for the adjustment, Then the system should update the goal and show the revised projections on their dashboard.

A farmer in the middle of a growing season receives new insights that suggest their original biodiversity improvement goal may not be achievable.

Given the user receives updated biodiversity data, When the user opts to revise their goal with a new target and provides a justification, Then the system must successfully alter the goal, and the adjustments should be visible in the historical tracking data.

While reviewing their sustainability plan, a farmer realizes they want to align their goals with newly established regulations.

Given the user accesses the regulatory guidelines, When the user selects their sustainability goal to adjust in accordance with the new requirements, Then the system should allow for changes and indicate compliance with the new standards in the documentation.

A user seeks to communicate with their team about adjusted sustainability goals due to recent insights from the platform.

Given a user has made adjustments to their sustainability goals, When they share their updated goals with team members through the platform, Then the system must generate a notification to all team members with the updated goals and justification included.

Resource and Emissions Calculator

User Story: As a farmer, I want a calculator that helps me understand the environmental impact of my resource usage so that I can make informed decisions about sustainable practices.
Description: This tool will enable users to input resource usage data (such as water and fertilizers) and calculate the associated emissions as well as savings when implementing sustainable farming practices. It will provide users with immediate feedback on the environmental impact of their current practices or any changes they are contemplating. Integrating this calculator into the platform promotes greater awareness of their choices and increases engagement with sustainability efforts through interactive learning.
Acceptance Criteria: User inputs resource usage data such as water and fertilizers into the Resource and Emissions Calculator during a scheduled meeting with their agricultural advisor to assess their current practices and identify areas for improvement.

Given the user inputs accurate data for water and fertilizers used, when they click the 'Calculate' button, then the calculator should return accurate emissions data and potential savings associated with transitioning to sustainable practices within 5 seconds.

A farmer wants to evaluate the environmental impact of transitioning from conventional to organic fertilization methods using the calculator before the planting season begins.

Given the user selects 'Organic Fertilizer' as an option and inputs the respective usage data, when the calculation is executed, then the system should compare and display both current and projected emissions reductions side by side c and provide a percentage improvement in sustainability.

The user revisits the Resource and Emissions Calculator to track their progress after three months of implementing new sustainable practices, aiming to see a reduction in emissions.

Given the user accesses the calculator after three months of data accumulation, when they input the updated resource usage data, then the calculator should display a trend graph showing emissions reduction over time and an overall percentage change from the last input, along with a summary of progress towards sustainability goals.

A user wants to educate themselves and their team about the impacts of different resource choices by using the calculator during a training session.

Given the user navigates to the calculator demo section, when they select various resource inputs and execute the calculations, then the tool should provide example scenarios illustrating the emissions impact for each choice made in an easily understandable format.

A user is unsure about the data types accepted for the Resource and Emissions Calculator and seeks clarification.

Given the user accesses the help section of the calculator, when they review the data input guidelines, then the system should clearly list acceptable data formats and examples for inputs without any ambiguity, allowing users to submit valid data successfully.

Experience Exchange

A dedicated forum where farmers can share their personal farming experiences, challenges faced, and successful strategies. This feature allows community members to learn from one another, promoting a culture of knowledge sharing and collaboration that enhances overall farming practices.

Requirements

User Authentication

User Story: As a farmer, I want to securely create an account and log in so that I can share my experiences and engage with other community members without worrying about my personal information being compromised.
Description: The User Authentication requirement ensures that all users can securely register, log in, and manage their accounts within the Experience Exchange feature. This functionality is critical to protect users' personal data and maintain a safe environment for sharing farming experiences. By implementing OAuth and multi-factor authentication, users can have a secure and seamless experience while accessing the platform. It enhances user trust and engagement, allowing them to contribute their insights without fear of unauthorized access or data breaches. Overall, this feature is essential for cultivating a robust online community of farmers and agricultural businesses.
Acceptance Criteria: User Registration Process for Experience Exchange

Given a new user accessing the Experience Exchange feature, when they complete the registration form with valid credentials and submit it, then they should receive a confirmation email and be able to log in immediately after verifying their email address.

User Login Verification

Given an existing user with a registered account, when they enter their correct username and password, then they should be logged into the Experience Exchange feature and redirected to the homepage of the community forum.

Implementation of Multi-Factor Authentication (MFA)

Given a user who has enabled multi-factor authentication on their account, when they log in using their username and password, then they should be prompted to enter a verification code sent to their registered mobile device or email before gaining access to their account.

Password Recovery Functionality

Given a user who has forgotten their password, when they request a password reset link via their registered email, then they should receive an email containing a link to create a new password, which should expire after 15 minutes for security purposes.

Account Management for User Information

Given a logged-in user on the Experience Exchange feature, when they access their account management settings, then they should be able to update their personal information, change their password, and view their account activity history seamlessly.

User Logout Process

Given an authenticated user in the Experience Exchange feature, when they click the logout button, then they should be securely logged out and redirected to the login page, ensuring no personal data remains accessible in the session.

Account Security Notifications

Given a user whose account details were recently updated, when these changes are made, then they should receive a security notification via email informing them of the updates to their account to ensure awareness and security.

Discussion Thread Creation

User Story: As a user, I want to create a discussion thread to share my farming experiences and seek advice from other farmers, so that we can collectively improve our agricultural practices and overcome challenges together.
Description: The Discussion Thread Creation requirement allows users to initiate new discussions by posting questions, experiences, or insights related to their farming practices. This feature promotes active participation and knowledge sharing among community members. Users can create threads with a title and body text, and add relevant tags to categorize their posts for easier searchability. By allowing users to express their ideas and challenges, this functionality fosters a collaborative environment where members can support each other through advice and shared experiences. It is integral to building a vibrant community where farmers can learn from one another.
Acceptance Criteria: User initiates a discussion thread in the Experience Exchange forum.

Given a logged-in user, when they navigate to the Experience Exchange forum and click the 'Create Discussion Thread' button, then a new thread form should open, allowing them to enter a title, body text, and relevant tags.

User submits a discussion thread with missing title.

Given a logged-in user, when they attempt to submit a thread without entering a title, then an error message should appear indicating that the title is required, and the thread should not be created.

User submits a discussion thread with valid inputs.

Given a logged-in user, when they fill out all required fields (title, body text, tags) and click 'Post', then the new discussion thread should be visible in the Experience Exchange forum, and a confirmation message should be displayed.

User searches for tags in the discussion forum.

Given that discussion threads exist with various tags, when a user enters a specific tag in the search bar, then the forum should display only those threads that match the searched tag.

User views the details of an existing discussion thread.

Given a discussion thread exists, when a user clicks on the thread title, then they should be navigated to a detailed view showing the complete thread body, comments, and a prompt to add their own comment.

User adds a comment to a discussion thread.

Given a user is on the detailed view of a discussion thread, when they submit a comment in the provided text box and click 'Add Comment', then the comment should be appended to the thread and visible to all users.

Comment and Reply Functionality

User Story: As a user, I want to comment on discussions and reply to other users' insights, so that I can contribute to the conversation and collaborate with others in the farming community for better outcomes.
Description: The Comment and Reply Functionality requirement enables users to engage with existing discussion threads by posting comments and replies to other users' contributions. This feature facilitates dialogue and collaboration, allowing users to build on each other's ideas, share insights, and offer support in a threaded manner for clarity. It enhances the overall user experience by creating a dynamic and interactive discussion space where community members can respond to one another, fostering a sense of belonging and community. This interaction ultimately leads to richer discussions and increased user satisfaction within the Experience Exchange.
Acceptance Criteria: Users can post a comment on any existing discussion thread in the Experience Exchange feature to share their thoughts or ask questions.

Given a user is logged into the AgriSphere platform, when they navigate to an existing discussion thread and enter a comment in the provided text box, then the comment should be successfully posted and displayed under the respective thread immediately after submission.

Users can reply to comments made by other users to facilitate a threaded discussion within the Experience Exchange feature.

Given a user is viewing a comment on a discussion thread, when they click on the 'Reply' button and submit their response, then the reply should appear as a nested comment under the original comment, maintaining the thread structure.

Users can edit their own comments to correct mistakes or update information after posting.

Given a user has posted a comment, when they click on the 'Edit' button for their comment, make changes in the text box, and save the changes, then the updated comment should reflect the edits in the discussion thread without creating a duplicate entry.

Users receive a notification when someone replies to their comments, ensuring they remain engaged in ongoing discussions.

Given a user has posted a comment in the Experience Exchange, when another user replies to that comment, then the original poster should receive a notification alerting them of the new reply, which they can view by clicking on the notification.

Users can delete their own comments if they choose to remove their contributions from the discussion thread.

Given a user has posted a comment, when they click on the 'Delete' button for their comment and confirm the deletion, then the comment should no longer be visible in the discussion thread and should be permanently removed from the platform.

The comment and reply functionality should handle special characters and formatting correctly to enhance readability and engagement.

Given a user is composing a comment or reply that includes special characters or formatting (such as bold or italics), when they submit the comment, then the text should display correctly with the intended formatting applied when viewed by other users.

The platform should prevent users from posting empty comments or replies to maintain the quality of discussions.

Given a user attempts to post a comment or reply without any text in the input field, when they click the 'Post' button, then the platform should display an error message indicating that comments cannot be empty.

Search and Filter Capabilities

User Story: As a user, I want to search for specific topics and filter discussions, so that I can quickly find relevant information and advice that addresses my farming challenges.
Description: The Search and Filter Capabilities requirement allows users to easily find relevant discussions, threads, or comments based on keywords, tags, or categories. This functionality enhances usability and helps users navigate the content efficiently, making it easier for them to seek specific information or answers to their questions. By providing options to filter results by popularity, date, or relevance, users can quickly access the most pertinent discussions. This is crucial for ensuring that farmers can find actionable insights and solutions from the community that directly address their needs, thus optimizing their engagement with the platform.
Acceptance Criteria: User searches for a specific topic related to pest management using keywords in the search bar.

Given the user is on the Experience Exchange page, when they enter 'pest control' in the search bar and click 'Search', then the results should display discussions containing the keyword 'pest control' in the title or content within 3 seconds.

User filters discussions by category to find tactics related to crop yield improvement.

Given the user is on the Experience Exchange page, when they select 'Crop Yield' from the category filter and apply it, then only discussions tagged with 'Crop Yield' should be displayed without any irrelevant content within 2 seconds.

User sorts the search results by popularity to find the most discussed threads on soil health.

Given the user has performed a search for 'soil health', when they select the 'Sort by Popularity' option, then the results should reorder to display discussions based on the number of comments and interactions, and maintain relevance to 'soil health'.

User attempts to find recent discussions by filtering results by date.

Given the user is on the Experience Exchange page, when they select 'Last 30 Days' from the date filter, then only discussions created within the last 30 days should be displayed and clearly marked with their creation date.

User searches for specific solutions using tags related to their query.

Given the user is on the Experience Exchange page, when they click on a tag labeled 'Organic Farming' and initiate a search, then the results should exclusively show discussions and threads associated with 'Organic Farming' within 5 seconds.

User searches for threads and applies multiple filters simultaneously to refine results.

Given the user searches for 'irrigation' and chooses 'Latest' and 'High Engagement' filters at the same time, when they hit 'Apply', then the results displayed should reflect the applied filters and only show threads matching all selected criteria within 4 seconds.

Experience Rating System

User Story: As a user, I want to rate the quality of the contributions made by others in discussions, so that I can help others find the most useful information and encourage quality participation in the community.
Description: The Experience Rating System requirement introduces a mechanism for users to rate the helpfulness of posts and comments within the Experience Exchange. This feature empowers the community to highlight valuable insights and identify high-quality content based on user feedback. Ratings can be expressed through a simple like/dislike or star system, providing a quantitative measure of content quality. Additionally, this functionality encourages users to contribute thoughtfully, knowing that their contributions will be recognized. It fosters a culture of quality knowledge sharing, allowing users to benefit from the most relevant and appreciated experiences shared by their peers.
Acceptance Criteria: User rates a post on the Experience Exchange forum after reading it for the first time.

Given a user is logged into the Experience Exchange, when they click the 'like' button on a post, then the post's like count increases by one, and the user’s voting action is recorded in the system.

User views the cumulative ratings of a post to assess its popularity and quality.

Given a user is viewing a post in the Experience Exchange, when they look at the post details, then the cumulative rating displayed should reflect the total likes and dislikes from all users.

A user tries to rate a post multiple times to check for vote redundancy.

Given a user has already liked a post, when they attempt to like that post again, then a message should display indicating they have already rated the post.

An admin wants to ensure inappropriate content is not highly rated.

Given an admin is viewing the Experience Exchange forum, when they see a post with unusually high ratings, then they should be able to review the content and its ratings for appropriateness directly from the admin dashboard.

User sees the rating feedback prompts after posting a comment.

Given a user has commented on a post, when they submit their comment, then a prompt should appear asking them to rate the helpfulness of existing responses, encouraging further engagement.

Users access their rating history to keep track of their engagements.

Given a user is logged into their account, when they navigate to their profile, then they should see a section titled 'My Ratings' displaying all posts and comments they have rated along with the rating they provided.

Expert Q&A Sessions

Scheduled live sessions with agricultural experts, providing users the opportunity to ask questions and receive real-time advice on pressing farming issues. This feature fosters direct interaction, giving users access to valuable insights and tailored support to optimize their agricultural practices.

Requirements

Live Q&A Scheduling

User Story: As a farmer, I want to schedule live Q&A sessions with agricultural experts so that I can get personalized advice on my farming challenges at a time that is convenient for me.
Description: This requirement involves developing a user-friendly interface for farmers to schedule live Q&A sessions with agricultural experts. The scheduling system should automatically sync with the user's calendar, send reminders, and allow users to choose from various available time slots. This facilitates user engagement, ensures availability of experts, and maximizes participation, thus enhancing the value of the Expert Q&A Sessions feature for optimizing agricultural practices.
Acceptance Criteria: User schedules a live Q&A session with an agricultural expert through the AgriSphere platform.

Given a registered user on the AgriSphere platform, when they access the Expert Q&A Scheduling interface and select a date and time from the available slots, then the session should be scheduled successfully, confirmed by a system message, and the scheduled time should appear in the user's calendar.

A user receives a reminder notification for their upcoming live Q&A session with an expert.

Given a scheduled Q&A session in the user's calendar, when the reminder is triggered 24 hours prior to the session, then the user should receive an email or app notification reminding them of the session.

User attempts to schedule a Q&A session but selects a time slot that conflicts with another event in their personal calendar.

Given a registered user with conflicting events in their calendar, when they attempt to select a time slot for the Q&A session, then the system should prevent them from scheduling it and display a message indicating the conflict and suggesting alternative slots.

An agricultural expert reviews their upcoming sessions and updates their availability on the AgriSphere platform.

Given an agricultural expert logged into their AgriSphere account, when they access the availability settings and modify their open time slots for Q&A sessions, then those changes should be saved and reflected in real-time for users attempting to schedule sessions.

A user views the list of available time slots for scheduling a Q&A session with an expert.

Given that a user is on the scheduling page, when they view the calendar, then they should see a clearly organized list of available time slots with the corresponding agricultural expert’s name and area of expertise indicated.

User cancels a previously scheduled live Q&A session.

Given a user who has scheduled a Q&A session, when they choose to cancel that session, then the system should process the cancellation, remove the session from the user's calendar, and notify the user that the cancellation was successful.

Expert Profile Showcase

User Story: As a user, I want to view profiles of agricultural experts so that I can choose the most suitable expert for my specific questions and improve the quality of the advice I receive.
Description: This requirement includes creating detailed profiles for agricultural experts that display their qualifications, areas of expertise, and previous advice shared in Q&A sessions. The profiles should also incorporate a rating system based on user feedback, allowing users to select experts that best fit their specific needs. By showcasing expert profiles, users can make informed choices and gain trust in the advice provided during live sessions.
Acceptance Criteria: User Access to Expert Profiles

Given a user is logged into AgriSphere, when they navigate to the Expert Q&A section, then they should see a list of available expert profiles with their qualifications and areas of expertise displayed clearly.

Expert Rating System Functionality

Given a user has participated in a Q&A session with an expert, when they provide feedback, then the expert's profile should update to reflect the new rating based on the user’s feedback, ensuring the rating system works correctly.

Search and Filter Experts

Given a user wants to find a specific type of expert, when they apply filters based on expertise areas such as crops, pest control, or irrigation, then the search results should display experts that match the selected criteria clearly and accurately.

Expert Profile Detail View

Given a user clicks on an expert's profile, when the profile loads, then it should display comprehensive information including the expert's bio, qualifications, areas of expertise, previous advice shared, and an overall rating based on user feedback.

User Feedback Submission

Given a user is viewing an expert's profile after a Q&A session, when they submit their feedback about the expert's advice, then the system should successfully record this feedback and reflect it in the expert's rating within 24 hours.

Notifications for New Expert Sessions

Given a user is interested in specific experts, when a new Q&A session is scheduled with one of their followed experts, then the user should receive a notification via email and in-app alert to inform them of the upcoming session.

Real-Time Chat Functionality

User Story: As a participant in a Q&A session, I want to ask follow-up questions in real-time so that I can gain deeper insights and clarification on the topics discussed by the expert.
Description: This requirement focuses on integrating a real-time chat feature within the Expert Q&A Sessions. This allows users to ask follow-up questions during the live sessions and facilitate a more interactive dialogue with experts. The chat feature should support text, images, and video links to enhance the understanding of questions and responses. Real-time interaction enriches the learning experience and allows for clarity and immediate feedback, making sessions more effective.
Acceptance Criteria: User participation in live Expert Q&A Session with real-time interaction.

Given that an Expert Q&A Session is live, when a user sends a message in the chat, then the message should appear in the chat window within 2 seconds.

User sends an image during the Expert Q&A Session to illustrate a problem.

Given that a user uploads an image in the chat feature, when it is sent, then the image should be displayed to all session participants and the expert without any delay.

An expert needs to respond to a user's question during a live session.

Given that an expert is live in the session and a user asks a question in the chat, when the expert replies, then the user's chat should refresh automatically to show the expert's response without any page reload.

Users share video links in the Expert Q&A Session.

Given that a user shares a video link in the chat during a live session, when the link is sent, then it should be clickable and open in a new tab for all participants.

Users want to see previous chat messages during an Expert Q&A Session.

Given that a user joins a session in progress, when they enter the chat interface, then they should see the previous 50 messages in the chat history.

User experiences connectivity issues during the Q&A Session and needs to reconnect.

Given that a user is disconnected from the live session due to connectivity issues, when they reconnect, then they should automatically have access to the ongoing chat conversation without losing context.

Feedback collection after the Expert Q&A Session via chat.

Given that an Expert Q&A Session has concluded, when the session ends, then a prompt should appear in the chat for users to provide feedback about the session within a 5-minute window.

Post-Session Feedback Collection

User Story: As a user, I want to provide feedback on the Q&A session so that my insights can contribute to improving future sessions and help maintain a high quality of assistance.
Description: This requirement entails implementing a feedback mechanism that permits users to rate their experience after a Q&A session. Users should be able to provide comments on the session's content, expert performance, and overall satisfaction. This feedback will inform future improvements, help maintain high standards for expert sessions, and enhance user satisfaction by addressing any gaps or weaknesses identified.
Acceptance Criteria: User submits feedback after participating in an Expert Q&A session, rating the session's content, the expert's performance, and overall satisfaction, ensuring the feedback mechanism is user-friendly and accessible immediately after the session ends.

Given a user has attended an Expert Q&A session, when they access the feedback form, then they should be able to rate the session on a scale of 1-5 for content quality, expert performance, and overall satisfaction, and submit written comments if desired.

Implementing a system that ensures users can only submit feedback once per session to maintain the integrity of the feedback collected.

Given a user has attended an Expert Q&A session, when they attempt to submit feedback, then the system should verify that feedback has not already been submitted for that session and display an appropriate message if it has.

Analyzing feedback responses to identify trends and areas for improvement after several Expert Q&A sessions have been completed and feedback has been collected.

Given the feedback has been submitted for multiple sessions, when an analysis is conducted, then there should be a comprehensive report generated that highlights the average ratings for content quality, expert performance, and user satisfaction, along with common themes in written comments.

User feedback data is securely stored and easily retrievable by authorized personnel for review and action.

Given feedback has been submitted and stored, when an authorized personnel accesses the feedback database, then they should be able to retrieve and view all feedback records sorted by session date, expert name, or user rating.

Ensuring users are informed about the importance of their feedback and how it will be used to enhance future sessions.

Given a user has submitted feedback, when they receive a confirmation message, then the message should include information on how their feedback will contribute to improving future Expert Q&A sessions.

Users have access to a visual representation of feedback trends to gauge the effectiveness of Expert Q&A sessions over time.

Given multiple feedback submissions have been recorded, when users access the feedback summary dashboard, then they should see graphs or charts displaying average ratings and trends in user satisfaction over time.

Resource Download Feature

User Story: As a participant in a Q&A session, I want to download resources related to the session so that I can refer to them later and implement the advice effectively in my farming practices.
Description: This requirement involves the creation of a feature that allows users to download relevant resources, such as expert notes, suggested reading materials, or follow-up action items, after the Q&A sessions. This ensures that users have tangible takeaways that they can review later, thereby increasing the value gained from the sessions and ensuring that important insights are documented for future reference in their agricultural practices.
Acceptance Criteria: User downloads resources after participating in a live Q&A session with an agricultural expert.

Given a user has attended a scheduled Expert Q&A session, when they click the 'Download Resources' button, then a zip file containing expert notes, suggested reading materials, and action items should be generated and downloaded successfully.

User receives confirmation after downloading resources from a Q&A session.

Given a user has successfully downloaded resources from a Q&A session, when the download is complete, then the user should receive an on-screen confirmation message indicating that the resources have been downloaded successfully, along with a summary of what has been included in the download.

Resources are available for download immediately after the end of a Q&A session.

Given an Expert Q&A session has just ended, when the user navigates to the session recap page, then resources for download should be accessible without any delay, allowing users to retrieve them easily.

User accesses downloaded resources on different devices.

Given a user has downloaded resources from a Q&A session on one device, when they check the downloaded files on another device, then the resources should be available for access if logged into the AgriSphere account on that device.

Resource file formats are appropriate and readable.

Given resources are made available for download, when a user downloads the materials, then all files included in the download should be in standard formats (e.g., PDF, DOCX) that can be easily accessed and opened by common software applications.

User shares downloaded resources with peers.

Given a user has successfully downloaded resources from a Q&A session, when they attempt to share the download link with peers within the platform, then the peers should be able to access and download the same resources under the applicable user permission settings.

Resource Library

A comprehensive collection of articles, videos, and guides on diverse agricultural topics, contributed by community members and experts. This feature serves as a go-to source for best practices, innovative techniques, and sustainable farming methods, empowering users with the knowledge they need to succeed.

Requirements

Dynamic Content Curation

User Story: As a farmer, I want to receive personalized content recommendations from the Resource Library so that I can easily access the most relevant information that applies to my current farming challenges and interests.
Description: The Resource Library must dynamically curate content based on user engagement metrics, trending topics, and seasonal agricultural practices. This feature will allow users to access the most relevant information by providing personalized recommendations for articles, videos, and guides. It integrates with the analytics module of AgriSphere to assess user preferences, ensuring the content is both current and tailored to the users' specific interests, ultimately resulting in enhanced user engagement and satisfaction.
Acceptance Criteria: User accesses the Resource Library to find content related to pest management during the growing season.

Given a user visits the Resource Library, when they access the dynamic content section, then the user should see articles and videos related to pest management at the top of the list based on current engagement metrics.

User activity in the Resource Library has been low, and the system needs to adjust curated recommendations accordingly.

Given low user engagement has been detected, when a user logs into the Resource Library, then the system should present updated content recommendations that are currently trending in user conversations and social media.

A user explores the Resource Library to find content relevant to sustainable farming practices during a specific agricultural season.

Given the user is interested in sustainable farming, when they access the Resource Library, then they should automatically receive recommendations of content tagged with 'sustainable farming' and prioritized for the current season.

The analytics module updates user preference data based on previous content interactions in the Resource Library.

Given the user has interacted with various articles and videos, when the analytics module processes this data, then the system should update the user's profile to reflect their interests and adjust recommended content accordingly.

A user logs in to the Resource Library for the first time and seeks guidance on crop irrigation techniques.

Given the user is a first-time visitor, when they navigate to the Resource Library, then the dynamic content curation should provide a welcome message and direct links to beginner articles and videos on crop irrigation.

Users leave feedback on the articles they read in the Resource Library, impacting future content curation.

Given a user has read an article and provided feedback, when the feedback is submitted, then the system should weigh this feedback in future content recommendations to favor content that aligns with positive user experiences.

The system determines a content update is needed based on seasonal trends in agriculture.

Given the seasonal change has been identified, when the system analyzes content engagement metrics, then it should automatically refresh the Resource Library content with updated articles and videos that relate to upcoming seasonal practices.

Multimedia Support

User Story: As a user, I want to be able to access articles, videos, and infographics within the Resource Library so that I can learn in the way that best suits my learning style and needs.
Description: The Resource Library must support various forms of multimedia content including articles, videos, and infographics. This requirement will enhance the library’s value by enabling users to engage with diverse types of content according to their learning preferences. By integrating video tutorials and infographics alongside traditional articles, users will have a richer, more comprehensive learning experience, facilitating better understanding of key agricultural practices.
Acceptance Criteria: User accessing various multimedia content types in the Resource Library

Given a user is logged into AgriSphere, when they navigate to the Resource Library, then they should see a list of articles, videos, and infographics available for each agricultural topic.

User selecting a video tutorial from the Resource Library

Given a user is browsing the Resource Library, when they click on a video tutorial, then the video should play successfully without errors and provide relevant content related to the selected topic.

User searching for specific content types in the Resource Library

Given a user uses the search functionality within the Resource Library, when they enter a keyword related to videos or infographics, then the search results should include relevant multimedia content without showing irrelevant articles.

User bookmarking multimedia content for later reference

Given a user finds a video or infographic they wish to save, when they click the bookmark option, then the content should be saved in their personal library for future access.

User sharing a multimedia resource with other community members

Given a user views an article or video in the Resource Library, when they select the share option, then the content should be successfully shared to their community feed or via direct link.

User providing feedback on multimedia content

Given a user has viewed a video or read an article, when they submit feedback through the designated feedback form, then their response should be recorded and associated with the content in the Resource Library.

User accessing content on different devices

Given a user accesses the Resource Library from a mobile device or tablet, when they view multimedia content, then the content should be displayed correctly and be fully functional across all devices.

User Contribution Mechanism

User Story: As a community member, I want to be able to contribute my knowledge and resources to the Resource Library so that I can share my experiences and help others in the farming community.
Description: The Resource Library should include a user contribution mechanism that allows community members and experts to submit their articles, videos, and guides. This feature will foster collaboration among users, enhance community engagement, and keep the content continually updated with fresh insights. An approval system will ensure the quality of contributions, allowing for crowd-sourced knowledge sharing while maintaining high standards within the library.
Acceptance Criteria: User submits a new article to the Resource Library through the submission form.

Given a user has filled out the article submission form with valid details and has attached a relevant document, when they click the submit button, then the article should be added to the pending approval queue for review by administrators.

An administrator reviews a submitted article for approval.

Given a submitted article is in the pending approval queue, when an administrator checks the article for quality and relevance, then they should be able to approve or reject the article with a feedback option available to the user.

User checks the status of their submitted contribution.

Given a user has submitted an article, when they navigate to the contribution history page, then they should see the current status of their submission (e.g., pending, approved, rejected) along with any feedback from the reviewers.

Community member searches for resources in the Resource Library.

Given a community member is on the Resource Library page, when they enter a keyword or topic in the search bar and submit, then they should see a list of relevant resources that match the search criteria.

User contributions are displayed in the Resource Library.

Given a new article has been approved by an administrator, when a user visits the Resource Library, then the article should appear in the appropriate category and be accessible to all users.

Users can filter resources by type (articles, videos, guides).

Given a user is viewing the Resource Library, when they select a filter option for type of resource, then only resources of the chosen type should be displayed on the page.

Search Functionality

User Story: As a user, I want to be able to easily search for articles and videos on specific topics within the Resource Library so that I can quickly find the information I need to make decisions in my farming practices.
Description: The Resource Library must feature an advanced search functionality that allows users to find content quickly and easily using filters such as keywords, content type, and popularity. This capability will enhance the user experience by enabling users to locate specific resources with minimal effort, thereby saving time and increasing the likelihood of content engagement.
Acceptance Criteria: User searches for pest control articles using keywords in the Resource Library to find relevant resources quickly.

Given that the user inputs 'pest control' as a keyword, when they click the search button, then the system displays a list of articles related to pest control ranked by relevance and popularity.

A user wishes to filter search results by content type in the Resource Library.

Given that the user selects 'Videos' from the content type filter and inputs 'irrigation' as a keyword, when they execute the search, then the system only displays videos related to irrigation in the results.

A user seeks to find the most popular articles in the Resource Library concerning sustainable farming practices.

Given that the user applies the popularity filter to their search query for 'sustainable farming', when the search is executed, then the system should return the articles sorted by the highest engagement metrics.

A user attempts to perform a search without entering any keywords or selecting filters in the Resource Library.

Given that the user leaves the search box empty and clicks the search button, then the system should prompt the user to enter a search term or select a filter before executing the search.

A user wants to save their search filters for future use while exploring the Resource Library.

Given that the user applies multiple filters (keyword, content type, popularity), when they click the 'Save Filters' button, then the system should save the selected filters and allow the user to use them for future searches easily.

A user wishes to sort search results by publication date in the Resource Library.

Given that the user has entered a keyword and executed the search, when they select the 'Sort by Date' option, then the system should rearrange the search results in chronological order, showing the most recently published resources at the top.

A user is looking for articles related to 'organic farming' and wants to see results that also include experts' opinions.

Given that the user searches for 'organic farming' and selects the 'Expert Opinions' filter, when the search is performed, then the system should display articles that match the keyword and include commentary or input from agricultural experts.

Feedback and Rating System

User Story: As a user, I want to be able to provide feedback and rate resources in the Resource Library so that I can share my thoughts with others and contribute to improving the quality of content available.
Description: The Resource Library should include a feedback and rating system where users can rate and comment on the resources. This system will enable users to share their experiences with specific materials and help others gauge the quality and relevance of the content. The feedback collected can also guide improvements and adjustments to the library's offerings over time, fostering a user-centric approach to content curation.
Acceptance Criteria: User Rating a Resource

Given a user has accessed a resource in the library, when they submit a rating between 1 and 5 stars, then the system should record the rating and display it on the resource page immediately.

User Commenting on a Resource

Given a user has accessed a resource, when they submit a comment, then the comment should be added to the resource's comment section and visible to all users within 10 seconds.

Displaying Average Rating for Resources

Given a resource has received multiple ratings, when a user views the resource, then the average rating should be calculated and displayed correctly with one decimal precision.

User Feedback Data Collection

Given a user submits feedback after rating a resource, when the feedback is submitted, then it should be logged in the database linked to the user's profile and the resource.

User Ability to Edit Comment

Given a user has submitted a comment on a resource, when they choose to edit their comment, then the system should allow them to update their comment and reflect the changes immediately.

Fostering Community Engagement through Feedback

Given a user views a resource, when they see other users' ratings and comments, then they should be able to make an informed decision and feel encouraged to provide their feedback based on the community's engagement.

Admin Review of Feedback and Ratings

Given an admin accesses the feedback and rating dashboard, when they view the ratings and comments, then they should be able to filter and sort the feedback by date, resource type, or user, ensuring effective management of the content.

Collaboration Projects

This feature facilitates the formation of collaborative projects among farmers, such as joint planting initiatives or research studies. By providing a platform for users to connect and work together, it encourages innovation and the sharing of resources for mutual benefit.

Requirements

Project Creation Interface

User Story: As a farmer, I want to create a collaborative project so that I can work with others to share resources and knowledge on joint planting initiatives.
Description: The project creation interface allows users to initiate new collaborative projects by defining project objectives, timelines, and roles. This feature should include customizable templates that guide users through the project setup process, thereby reducing the time and complexity involved in project initiation. Users can set privacy levels for their projects, invite collaborators, and outline specific contributions and expectations. Integration with user profiles and notifications will ensure all participants are kept informed of changes and updates, enhancing communication and collaboration.
Acceptance Criteria: User successfully creates a new collaborative project using the project creation interface.

Given a user is logged into AgriSphere and has access to the project creation interface, when they fill out all mandatory fields including project objectives, timelines, and roles, and click 'Create Project', then the new project should be successfully created and visible in the user's project list.

User customizes a project template for a new collaborative project.

Given a user is on the project creation interface and selects a customizable template, when they modify the template fields such as project goals and participant roles, and click 'Save', then the customized project template should be saved and ready for future use by the user.

User sets privacy levels for a new project during creation.

Given a user is creating a new project, when they select a privacy level from the available options (Public, Private, or Restricted), then the selected privacy setting should be applied to the project and reflected in the project's settings page.

User invites collaborators to a newly created project.

Given a user has created a project, when they enter the email addresses of collaborators in the invitation field and clicks 'Send Invites', then those collaborators should receive an email invitation to join the project.

Users receive notifications regarding changes made to a collaborative project.

Given a user is a participant in a collaborative project, when any project member makes changes (like updates to timelines or objectives), then the user should receive a notification alerting them of the changes at their registered email address.

User outlines specific contributions and expectations for collaborators.

Given a user is defining project roles, when they specify the contributions of each collaborator in the role assignment section and click 'Save Changes', then the contributions should be saved and displayed in the project overview for all collaborators to see.

System integrates user profiles in project creation.

Given a user is logged in and creating a project, when they access the role assignment section, then their own user profile information (name, expertise, and contact info) should be automatically populated in the available roles for the project.

Collaborative Communication Tools

User Story: As a project participant, I want to communicate with my collaborators easily so that we can share updates and documents related to our project.
Description: This requirement encompasses a suite of communication tools that facilitate interaction among project participants. Features should include messaging, file sharing, and discussion forums, all integrated directly into the collaborative project interface. Users should be able to tag team members in discussions, share documents related to the project, and maintain an organized thread of communication. The goal is to ensure that all team members can communicate effectively and share insights easily, thereby fostering a collaborative environment.
Acceptance Criteria: User sends a message to another team member within a collaborative project.

Given the user is on the project page, when they compose a message and select a team member to send it to, then the recipient receives a notification and can view the message in their inbox.

A user shares a document in the project discussion thread.

Given the user is in the discussion forum of a collaborative project, when they upload a document and post it in the thread, then all project members can view and download the document without issues.

A user tags another member in a discussion thread to notify them of a relevant topic.

Given the user is posting a message in the discussion forum, when they tag another user by using '@username', then the tagged user receives a notification of the tag in their notifications panel.

The discussion forum maintains an organized thread of communication.

Given multiple users are discussing a topic in the project discussion forum, when users reply to messages, then the forum should display the messages in chronological order with clear threading of replies.

Users search for previous messages within the project communication tools.

Given that users are in the messaging interface, when they enter a keyword into the search bar, then the system returns a list of relevant messages containing that keyword along with the date and sender information.

A project member forges a new collaboration initiative using the communication tools.

Given that a user has identified a potential collaboration opportunity, when they create a new project within the platform and invite team members, then all invited members receive a notification and can accept the invitation to join.

Users can access their communication history with a project member.

Given that the user is in the messaging interface, when they click on a team member's profile, then the system displays the complete history of messages exchanged between the two users for easy reference.

Resource Sharing Module

User Story: As a farmer, I want to share and access resources needed for my collaborative projects so that I can optimize productivity without incurring additional costs.
Description: The resource sharing module enables users to contribute and access resources needed for collaborative projects, such as tools, machinery, and expertise. This feature should allow users to list available resources, request resources from others, and track the usage and availability of shared items. By creating a centralized repository for resources, this module encourages users to utilize existing assets effectively, promoting sustainability and reducing costs associated with resource acquisition.
Acceptance Criteria: User successfully lists a resource available for sharing on the platform.

Given the user has a resource to share, when they fill out the resource listing form with valid details and submit it, then the resource should be successfully added to the shared resources repository and visible to other users.

User requests a resource from another user through the platform.

Given the resource is available for sharing, when a user selects the resource and submits a request, then the resource owner should receive the request notification in their account dashboard.

User tracks the usage of a shared resource they have borrowed.

Given the user has borrowed a resource, when they access the tracking module, then they should see the status, duration of use, and any upcoming return dates for the resource.

Users can view a list of all available resources in the repository.

Given multiple users have shared resources, when a user navigates to the resource sharing module, then they should see a comprehensive list of all available resources classified by type, with filtering options for enhanced searchability.

User generates a report on the most frequently shared resources to analyze usage.

Given the user is in the reporting section of the resource sharing module, when they request a report, then they should receive a summary report detailing the top 5 most shared resources and their usage statistics over the past month.

User can remove a resource listing they no longer wish to share.

Given the user has access to their resource listings, when they select a resource and confirm deletion, then the resource should be removed from the repository and no longer visible to other users.

User receives notification of resource requests made to them.

Given a user has resources listed for sharing, when another user sends a request for one of those resources, then the resource owner should receive a notification via email and in-platform alert about the request.

Project Progress Tracking Dashboard

User Story: As a project manager, I want to track the progress of collaborative projects so that I can ensure all tasks are completed on time and objectives are met.
Description: The project progress tracking dashboard provides an overview of all ongoing collaborative projects, highlighting key milestones, deadlines, and individual contributions. This feature should include visual analytics that allow users to track progress against objectives and adjust plans as necessary. Notifications for upcoming deadlines and overdue tasks will ensure accountability among team members and help keep projects on schedule, enhancing overall productivity and project management.
Acceptance Criteria: Dashboard Overview for Ongoing Projects

Given the user is logged into AgriSphere, when they navigate to the Project Progress Tracking Dashboard, then they should see a visual overview of all ongoing collaborative projects, including key milestones and deadlines.

Individual Contribution Tracking

Given a user is part of a collaborative project, when they access the Project Progress Tracking Dashboard, then they should be able to view their individual contributions and statuses for tasks assigned to them.

Visual Analytics Presentation

Given the user is viewing an ongoing project on the dashboard, when they look at progress tracking visuals, then they should see a clear representation of project milestones, deadlines, and progress against objectives.

Notifications for Deadlines

Given the user has projects with approaching deadlines, when the dashboard is loaded, then the user should receive notifications for upcoming deadlines and overdue tasks prominently displayed.

Adjustment of Plans Based on Progress

Given the user is viewing their project’s progress on the dashboard, when they notice a task is overdue, then they should have the ability to adjust project timelines and reassign responsibilities within the dashboard interface.

Filtering and Sorting Projects

Given the user is on the Project Progress Tracking Dashboard, when they use the filtering options available, then they should be able to sort projects by due dates, team members involved, or progress percentage.

Mobile Responsiveness of Dashboard

Given that a user accesses AgriSphere on a mobile device, when they navigate to the Project Progress Tracking Dashboard, then the dashboard should display optimally, with all key features accessible without loss of functionality.

Feedback and Evaluation System

User Story: As a project participant, I want to give feedback on our project experience so that we can improve future collaborations and achieve better outcomes.
Description: The feedback and evaluation system allows participants to provide input on the effectiveness of collaborative projects upon completion. This feature should support structured feedback forms that gather insights on project outcomes, team dynamics, and areas for improvement. By analyzing this data, users can identify best practices and success factors for future projects, fostering continuous improvement and enhancing collaboration strategies across the platform.
Acceptance Criteria: User submits feedback after completing a collaborative project, utilizing the feedback form designed for project evaluations.

Given a completed collaborative project, when a user accesses the feedback form, then they should be able to submit structured input on project effectiveness, team dynamics, and areas for improvement.

The system aggregates and analyzes the feedback received from various participants in a collaborative project.

Given multiple feedback submissions from different users on the same project, when the feedback is analyzed, then the system should generate a summary report highlighting key insights, best practices, and areas for improvement.

Users receive notifications regarding the availability of the feedback and evaluation system after a collaborative project ends.

Given a collaborative project completion, when users are notified of the feedback form's availability, then they should receive an email with a link to the feedback form within 24 hours of project completion.

Participants review the feedback submitted by their peers to identify strengths and areas for improvement in future projects.

Given that feedback has been collected and is available, when users access the feedback report, then they should be able to see all comments and ratings provided by their peers organized by project component.

The feedback and evaluation system is tested to ensure all inputs are captured accurately and the resulting data is usable.

Given a scenario where users submit feedback through the form, when submissions are collected, then each feedback entry should be accurately recorded in the system without data loss or corruption.

The feedback form includes mandatory fields to ensure comprehensive data is captured from each participant.

Given a user attempting to submit feedback without filling out required fields, when they try to submit the feedback form, then they should receive an error message prompting them to complete all mandatory fields before submission.

Users can continuously access past project feedback for iterative review and learning purposes.

Given that feedback has been collected from multiple projects, when a user accesses the historical feedback section, then they should be able to view, filter, and sort feedback reports from completed projects.

Feedback Loop

A structured system where users can provide feedback on community discussions, resources, and expert sessions. This feature allows the hub to continually evolve and improve based on user input, making it more relevant and effective for its members.

Requirements

User Feedback Submission

User Story: As a farmer using AgriSphere, I want to provide feedback on community discussions so that I can share my experiences and suggestions to improve the platform for everyone.
Description: This requirement focuses on allowing users to submit feedback easily and efficiently through a dedicated feedback form within AgriSphere. Users can provide comments, suggestions, and issues related to community discussions, resources, and expert sessions. This feedback will be collected in a structured format, enabling the team to analyze input for quality improvements and better user engagement. The implementation of this feature will facilitate real-time feedback integration, empowering users to contribute to the continuous adaptation and refinement of the AgriSphere platform, enhancing overall user satisfaction.
Acceptance Criteria: User is logged into the AgriSphere platform and navigates to the Feedback Loop feature to submit their feedback on a recent community discussion.

Given the user is on the Feedback Loop page, when they fill in the feedback form and submit it, then they should see a confirmation message indicating that their feedback has been successfully submitted.

A user attempts to submit feedback without filling in the required fields in the feedback form.

Given the user is on the Feedback Loop page, when they attempt to submit the form with empty required fields, then they should see validation error messages for each field that requires input before submission is allowed.

Users want to provide feedback on specific resources and expert sessions, ensuring their comments are categorized correctly.

Given the user is on the Feedback Loop page, when they select a resource or expert session from a dropdown menu and submit their feedback, then the feedback should be tagged with the correct category for analysis.

Users need to edit feedback after submission if they realize they made a mistake.

Given the user has submitted feedback, when they navigate to their feedback history and select a feedback entry, then they should have the option to edit and resubmit their feedback, receiving an updated confirmation message upon successful resubmission.

Users want to view past feedback submissions to track their input and any responses provided by the platform.

Given the user is on the Feedback Loop page, when they request to view their feedback history, then they should see a list of all their submitted feedback along with any responses from the AgriSphere team.

The feedback submitted by users needs to be accessible for administrative review to help enhance platform offerings.

Given the administrator is on the admin panel, when they access the feedback management section, then they should be able to view all user feedback submissions in a structured format, including user comments and response statuses.

Users expect to receive acknowledgment of their feedback submission to improve engagement.

Given the user submits feedback through the Feedback Loop, when their feedback is successfully submitted, then they should receive an email notification summarizing their feedback and thanking them for their contribution.

Feedback Analytics Dashboard

User Story: As a product manager, I want to access an analytics dashboard for feedback so that I can understand user sentiments and prioritize improvements based on data.
Description: This requirement entails the development of an analytics dashboard that provides insights into the feedback collected from users. The dashboard will visualize feedback data through graphs and reports, highlighting common themes, user satisfaction levels, and areas needing improvement. This will enable stakeholders to make data-driven decisions regarding feature enhancements and community resource allocations. It integrates seamlessly with existing user data, helping to understand user needs and preferences better, which is crucial for strategic planning and timely updates to the platform.
Acceptance Criteria: User accesses the Feedback Analytics Dashboard to view recently collected feedback data after a community discussion has ended.

Given the user is logged in and has access to the Feedback Analytics Dashboard, When the user navigates to the dashboard, Then the dashboard displays data from the last community discussion, including graphs showing user satisfaction levels and common feedback themes.

Admin wants to generate a report on feedback trends over the last month to present in a stakeholders' meeting.

Given the admin is on the Feedback Analytics Dashboard, When the admin selects the 'Monthly Report' option and generates the report, Then the system should provide a downloadable report that visualizes feedback trends, including common themes and satisfaction ratings, for the past month.

User notices inaccuracies in the feedback data displayed on the dashboard and wants to report it.

Given the user has accessed the Feedback Analytics Dashboard, When the user clicks on the 'Report Issue' button and submits their feedback regarding the data inaccuracies, Then the system should confirm the submission and notify the admin team about the reported issue.

Stakeholders review the feedback analytics to identify areas for feature enhancement in the platform.

Given that the stakeholders are viewing the Feedback Analytics Dashboard, When they filter the feedback by 'Areas Needing Improvement', Then the dashboard presents a prioritized list of feedback items that indicates user dissatisfaction with specific features.

User wants to compare feedback from two different community discussions to assess changes in user satisfaction.

Given the user is on the Feedback Analytics Dashboard, When the user selects two specific community discussions from the past and initiates a comparison, Then the dashboard should display a side-by-side comparison of key metrics including user satisfaction levels and feedback themes for both discussions.

Admin needs to update the analytics dashboard to include new feedback metrics that have been identified as valuable.

Given that the admin has identified new feedback metrics, When the metrics are integrated into the dashboard and viewed by the user, Then the dashboard should show these new metrics clearly alongside existing data visualizations without impacting performance.

Feedback Notification System

User Story: As an AgriSphere user, I want to receive notifications when my feedback is acted upon so that I feel my input is valued and see the direct effects of my suggestions.
Description: This requirement involves creating a notification system that alerts users when their feedback has been acknowledged and addressed. This system will ensure that users feel valued and informed about the impact of their contributions. Users will receive notifications via email or through the AgriSphere platform, fostering a transparent feedback loop and enhancing community engagement. By implementing this feature, AgriSphere can promote an inclusive environment where all users see the importance of their input, potentially increasing user interaction and feedback submissions.
Acceptance Criteria: User receives a notification when feedback is acknowledged by an admin.

Given a user has submitted feedback, when the admin acknowledges the feedback, then the user should receive a notification email confirming the acknowledgment.

User receives an update when their feedback receives a response or is addressed.

Given a user has submitted feedback, when the feedback is responded to by an expert, then the user should receive a notification through the AgriSphere platform informing them of the response.

Users can control their notification preferences within the platform.

Given a user is in the notification settings section of their profile, when they select or deselect options for feedback notifications, then these preferences should update successfully and reflect in their account settings.

Email notifications are sent in a timely manner after feedback acknowledgment.

Given a user has submitted feedback, when the feedback is acknowledged, then the notification email should be sent within 5 minutes of acknowledgment.

Users can view a history of their notifications related to feedback.

Given a user accesses their profile's notifications section, when they view their feedback notifications, then they should see a chronological list of all notifications received regarding their feedback submissions.

Users are notified when the feedback loop system experiences any technical issues.

Given the feedback notification system encounters an error, when this error occurs, then all affected users should receive a notification stating the issue and expected resolution timeframe.

Community Discussion Highlighting

User Story: As a member of the AgriSphere community, I want to see highlighted discussions so that I can learn from others’ experiences and contribute to ongoing dialogues.
Description: This requirement encompasses the ability to highlight significant feedback and discussions from users within the platform. The highlighted discussions will be featured prominently in community areas to inform all users about critical insights and successful suggestions made by peers. This feature aims to encourage more in-depth discussions and participation in community feedback initiatives. By promoting impactful user contributions, AgriSphere can enhance sense of community and collective knowledge share among users, driving overall platform engagement.
Acceptance Criteria: Highlighting significant user feedback in community discussion forums to enhance visibility and engagement.

Given a user submits feedback in the community discussion forum, when the feedback is marked as significant by an admin, then the feedback is highlighted and displayed prominently on the community page.

Encouraging users to participate in community discussions through featured insights.

Given a discussion has received multiple upvotes from users, when it is selected by the admin, then it should be featured as a highlighted discussion at the top of the page.

Displaying highlighted discussions to facilitate knowledge sharing among users.

Given a user visits the community discussion page, when highlighted discussions are available, then they should be visible in a separate section titled 'Highlighted Discussions' at the top of the page.

Allowing users to provide feedback on highlighted discussions to gauge their usefulness.

Given a highlighted discussion is displayed, when a user clicks on 'Provide Feedback,' then they should be presented with a feedback form where they can rate and comment on the discussion's relevance and usefulness.

Tracking engagement metrics on highlighted discussions to measure platform impact.

Given highlighted discussions are implemented, when an admin reviews user engagement data, then they should see metrics such as views, comments, and likes specific to each highlighted discussion.

Notifying users about new highlighted discussions to encourage participation.

Given a new discussion is highlighted, when the admin confirms the highlight, then all users should receive a notification about this new highlighted discussion.

Providing a mechanism for users to suggest discussions for highlighting.

Given a user identifies a discussion they feel should be highlighted, when they click on the 'Suggest Highlight' button, then they should see a prompt to submit their suggestion for admin review.

Feedback Categorization System

User Story: As a user, I want to categorize my feedback by type and topic so that my input can be directed to the appropriate team and prioritized correctly.
Description: This requirement calls for a categorization system for the feedback submissions, allowing users to tag their feedback by topic, urgency, and type (e.g., suggestion, bug report, general comment). This categorization will enhance the organization and retrieval of feedback data, ensuring that the relevant stakeholders can address specific issues or suggestions quickly. The system will improve the efficiency of the entire feedback management process, enabling a structured approach to implementing improvements. This is vital for maintaining a high-quality user experience and addressing community needs adequately.
Acceptance Criteria: Feedback Submission with Topic Tagging

Given a user submits feedback on the platform, When the user categorizes the feedback by selecting a topic from the provided options, Then the feedback should be saved with the correct topic tag in the system.

Urgency Classification by Users

Given a user is submitting feedback, When the user selects a level of urgency (low, medium, high), Then the feedback should be recorded with the corresponding urgency classification in the database.

Feedback Type Selection

Given a user is submitting feedback, When the user selects a feedback type (suggestion, bug report, general comment), Then the system should categorize the feedback accordingly and display it to relevant stakeholders based on type.

Search and Filter Functionality

Given a user seeks to review feedback submissions, When the user applies filters by topic, urgency, and type, Then the system should return a list of feedback that meets the selected criteria.

User Notification on Feedback Resolution

Given feedback has been addressed by stakeholders, When changes are implemented based on user feedback, Then the user who submitted the feedback should receive a notification detailing how their feedback was acted upon.

Analytics Dashboard for Feedback Trends

Given the feedback submission process is operational, When the system generates an analytics report, Then the report should reflect trends in feedback categorization over time, including the most common topics and urgency levels.

Feedback Review Cycle with Stakeholders

Given new feedback has been categorized, When stakeholders conduct a review meeting, Then they should have access to the categorized feedback data, ensuring each stakeholder can view feedback relevant to their area of responsibility.

Networking Events Calendar

An integrated calendar that highlights upcoming community events, webinars, and networking opportunities. This feature keeps users informed and engaged, encouraging participation in activities that promote collaboration and relationship-building within the agricultural community.

Requirements

Event Listing

User Story: As a farmer, I want to see all upcoming networking events in one place so that I can plan my participation and enhance my knowledge and connections within the agricultural community.
Description: The Event Listing feature will display a comprehensive calendar of upcoming agricultural networking events, webinars, and community gatherings. It will allow users to view event details such as date, time, location, and a brief description. This feature will also include filters to search for events by type (e.g., webinars, in-person events) and date range, providing users with tailored information that enhances their engagement in the agricultural community. Furthermore, by integrating this feature with user profiles, personalized event recommendations can be generated based on user interests and past participation, fostering a more connected and informed agricultural network.
Acceptance Criteria: User views the event calendar to find upcoming agricultural networking events for the month of November.

Given the user is logged into their account, when they navigate to the 'Events Calendar' section, then the calendar should display all events for the current month with detailed information (date, time, location, description).

User applies filters to narrow down events by type and date range.

Given the user accesses the 'Events Calendar', when they select the filter options for event type and set a date range, then the calendar should update to reflect only those events that match the specified criteria.

User interacts with the events calendar to get more details about a specific event.

Given the user is viewing the calendar, when they click on an event, then a pop-up should display detailed information about the event, including RSVP options and related events.

User receives personalized event recommendations based on their profile.

Given the user has set preferences in their profile, when they view the 'Recommended Events' section, then the system should display a list of personalized event suggestions tailored to their interests and past attendance.

User shares an event on social media from the events calendar.

Given the user is viewing an event's details, when they click on the 'Share' button, then the event should be successfully shared on their connected social media accounts.

User receives notifications for upcoming events they have expressed interest in.

Given the user has opted into event notifications, when an event they registered interest in is approaching, then the system should send an email reminder 24 hours before the event begins.

RSVP Functionality

User Story: As an agricultural professional, I want to RSVP for events I’m interested in so that I can keep track of my commitments and ensure my participation.
Description: The RSVP Functionality allows users to RSVP to upcoming events directly through the AgriSphere platform. This feature will send notifications and reminders to users about the events they have registered for, ensuring they do not miss out on any important networking opportunities. It will also provide event organizers with real-time data on how many participants to expect, which can assist in logistical planning. The RSVP system will include options for users to add the event to their personal calendars, thereby increasing the likelihood of their attendance.
Acceptance Criteria: User RSVPs to an upcoming networking event through the AgriSphere platform.

Given a user is logged into their AgriSphere account, when they select an event from the Networking Events Calendar and click the RSVP button, then the user should receive a confirmation message stating their RSVP was successful and see the event added to their upcoming events list.

User receives event reminder notifications via the AgriSphere platform.

Given a user has successfully RSVPed to an event, when the event date is approaching (e.g., 1 day before), then the platform should send an automatic reminder notification to the user’s account and registered email address about the event.

Event organizers access RSVP data to prepare for an upcoming event.

Given the event organizer is logged into their account, when they navigate to the event details page, then they should see the total number of RSVPs along with a breakdown of attendees (confirmed and pending status).

User adds an event to their personal calendar from the AgriSphere platform.

Given a user has RSVPed to an event, when they click the 'Add to Calendar' option, then an .ics file should be generated and downloaded, allowing users to import the event into their personal calendar application without issues.

Users can cancel their RSVP to an event.

Given a user has RSVPed to an event, when they go to their upcoming events list and select the option to cancel their RSVP, then the platform should send a confirmation message that their RSVP has been cancelled and update the event count accordingly.

Vintage events are automatically archived after completion.

Given an event has occurred, when the event end date passes, then the event should no longer appear in the Networking Events Calendar and should be moved to an archived events section accessible to users.

Users can filter events by category or date in the Networking Events Calendar.

Given a user is on the Networking Events Calendar page, when they apply a filter for event categories or set a specific date range, then only the relevant events should be displayed in the calendar view.

Event Feedback System

User Story: As a participant, I want to provide feedback on events I attended so that I can help improve future networking opportunities.
Description: The Event Feedback System will enable users to provide feedback on past events they attended through the AgriSphere platform. This system will collect ratings, comments, and suggestions from users, which will help event organizers understand participants' experiences and areas for improvement. The insights gained from this feedback will promote higher-quality events and enhance user satisfaction. Users will also be notified about the feedback surveys post-event to ensure timely responses.
Acceptance Criteria: Event Feedback Submission Post-Attendance

Given a user has attended a past event, when they access the AgriSphere platform, then they should be prompted to provide feedback on that event within 7 days of its conclusion.

Feedback Rating System Integration

Given a user is submitting feedback, when they provide a rating, then the feedback system must accept a numeric rating between 1 and 5, where 1 indicates poor experience and 5 indicates excellent experience.

Feedback Comment Submission

Given a user has selected their feedback rating, when they choose to provide additional comments, then the feedback system must allow comments up to 500 characters, ensuring the input is saved correctly.

Feedback Notifications to Users

Given an event has concluded, when the event organizer initiates the feedback process, then all attendees should receive notification emails prompting them to complete the feedback survey within 48 hours.

Anonymous Feedback Collection

Given a user chooses to provide feedback, when they submit their comments and ratings, then the system must ensure that all feedback is collected anonymously unless the user opts to provide identification.

Feedback Data Aggregation and Reporting

Given that multiple users have submitted feedback, when the event feedback survey is closed, then the system must aggregate the feedback into summary reports for the event organizers to review within 3 business days.

User Feedback on Usability of Feedback System

Given a user has completed their feedback submission, when they review their experience with the feedback system, then they should have the option to rate the usability of the feedback feature on a scale of 1 to 5.

Integration with Social Media

User Story: As an agricultural business owner, I want to share event information on my social media accounts so that I can invite colleagues and increase awareness of the events.
Description: The Integration with Social Media feature will allow users to share event details and their participation on social media platforms directly from AgriSphere. Users can promote important events, invite their connections, and expand the reach of the community activities. Additionally, this integration will elevate AgriSphere’s visibility and attractiveness to a broader audience, potentially increasing future participation through social media promotions.
Acceptance Criteria: User shares an event from the AgriSphere Networking Events Calendar on Facebook.

Given the user is logged into their AgriSphere account, when they select an upcoming event and click the 'Share on Facebook' button, then the event details should be pre-filled in a Facebook post, including the event title, date, time, and a link to the event.

User receives a confirmation message after sharing an event on Twitter.

Given the user has successfully shared an event on Twitter, when the user checks their notification, then they should see a confirmation message indicating that their post has been shared successfully.

User promotes an event and invites connections through LinkedIn.

Given the user selects the 'Share on LinkedIn' option, when they click 'Send Invites', then their LinkedIn connections should receive an invitation to the event with the correct details and a direct link to register.

User attempts to share an event on social media without being logged in.

Given the user is logged out of AgriSphere, when they attempt to share an event on any social media platform, then they should be redirected to the login page with a message indicating they must log in to share the event.

User views analytics of social media shares related to events.

Given the user has access to Event Analytics on their dashboard, when they navigate to the Social Media section, then they should see a summary of shares, including total shares, engagement metrics, and the platforms used.

User can edit the content of a social media share before posting.

Given the user selects an event to share, when they customize the post content in the sharing popup modal, then the updated content should display correctly in the preview and be posted as edited when the user clicks 'Share'.

User can view a list of previously shared events on their social media profiles.

Given the user has shared multiple events, when they access the 'My Shares' section in AgriSphere, then they should see a list of all events shared, along with the social media platform used and the dates shared.

Push Notifications for Events

User Story: As a user, I want to receive notifications about upcoming events so that I never miss an opportunity to connect with others in my industry.
Description: The Push Notifications for Events feature will keep users engaged by sending alerts about upcoming events, changes to event details, and reminders as the event date approaches. Users will be able to customize their notification preferences, selecting which types of events they would like to be alerted about, ensuring they receive timely updates relevant to their interests. This feature aims to enhance user participation by reducing the chances of missed events due to oversight.
Acceptance Criteria: User receives a push notification for an upcoming webinar they signed up for one week prior to the event.

Given the user has selected to receive notifications for webinars, when the scheduled date is one week away, then the user should receive a push notification alerting them of the upcoming webinar.

User customizes their notification settings to receive alerts only for community events and not for webinars.

Given the user accesses the notification settings, when they select only community events and save the settings, then the user should receive alerts only for community events moving forward.

User receives a push notification about a change in event details for a conference they registered for.

Given the user has registered for a conference and enabled notifications, when the event organizer updates the event details (e.g., location or timing), then the user should receive a push notification with the updated details.

User is reminded of an event two days before it occurs.

Given the user has registered for an event and enabled reminder notifications, when the event date is two days away, then the user should receive a push notification reminding them of the event.

User opts to disable all notifications from the Networking Events Calendar feature.

Given the user accesses the notification settings, when they select to disable all notifications and save the changes, then the user should not receive any push notifications related to events.

User receives a push notification for an event they have opted out of.

Given the user has opted out of notifications for specific types of events, when an event of that declined type is created, then the user should not receive a push notification for that event.

User wants to see a history of all the notifications they received about past events.

Given the user accesses the notifications history section, when they view their past notifications, then the user should see a complete list of all previous push notifications received concerning events.

Event Categorization and Tags

User Story: As a user, I want to filter events by category and tags so that I can easily find networking opportunities that are relevant to my interests.
Description: The Event Categorization and Tags feature will allow event organizers to categorize their events under various themes, such as 'Sustainability', 'Technology', 'Weather Management', etc. This will help users quickly identify events that are relevant to their interests and needs. Tags will also facilitate easier search functionality within the calendar, enhancing the overall user experience by providing a streamlined way to discover specific types of networking opportunities.
Acceptance Criteria: Event organizers want to categorize their upcoming events under specific themes such as 'Sustainability' or 'Technology' before they are published to the calendar.

Given an event organizer is on the event creation page, when they select a category from the predefined list and submit the event, then the event should appear in the calendar under the selected category.

Users searching for events in the calendar want to find relevant events by using tags associated with their interests.

Given a user is on the events calendar page, when they click on a tag like 'Weather Management', then only events tagged with 'Weather Management' should be displayed.

Users attending events wish to get notified about upcoming events of specific categories they are interested in.

Given a user has selected their areas of interest in their profile settings, when an event matching those interests is created, then the user should receive a notification of that upcoming event.

Event organizers need to ensure they can edit the categories and tags of their existing events if changes arise.

Given an event organizer is viewing an already published event, when they update the categories and tags and save the changes, then the event should reflect the updated categories and tags on the calendar.

Users want to see a visual representation of events categorized by themes on the calendar interface.

Given a user is on the events calendar page, when they select to view events in a categorized format, then the events should be displayed in a grouped manner according to their categories.

Users wish to filter the calendar view to show only events that match certain criteria such as date range, category, and tags.

Given a user is on the events calendar page, when they apply specific filters for date, category, and tags, then only the events matching those filters should be displayed.

The system should allow users to search events using keywords that correspond to either the event name or the tags associated with it.

Given a user is on the events calendar page, when they enter a keyword into the search bar, then the system should return events that match the keyword in either their title or their associated tags.

Success Stories Showcase

A dedicated space for users to share their success stories and farming innovations. This feature inspires and motivates others by showcasing real-world examples of effective practices and community impact, reinforcing the value of collaboration within the Agri-Community Hub.

Requirements

Success Stories Submission

User Story: As a farmer, I want to share my success story so that other farmers can learn from my experiences and improve their own practices.
Description: This requirement enables users to submit their successful farming experiences and innovations through a dedicated form within the AgriSphere platform. The submission process should allow users to include text, images, and videos to enrich their stories. This feature emphasizes community engagement, allowing users to showcase their achievements, share best practices, and inspire fellow farmers. By automating the submission process, it will integrate seamlessly with the existing dashboard and ensure that all entries are categorized for easy navigation. This functionality aims to build a valuable resource of user-generated content that encourages collaboration, learning, and mutual support within the Agri-Community Hub.
Acceptance Criteria: User Submission of Agriculture Success Story

Given a logged-in user, when they navigate to the Success Stories Submission page and fill out the form including title, text, and upload images/videos, then their submission should be saved and categorized under 'Pending Approval' in the database.

Approval Process for Success Story Submissions

Given an admin user, when they review submissions categorized under 'Pending Approval', then they should have the ability to approve or reject each story with an option for providing feedback to the user.

Display of Approved Success Stories

Given a user on the Success Stories Showcase page, when they scroll through the displayed stories, then they should see only those success stories that have been approved and categorized accordingly, including all submitted media.

Notification System for Submission Status

Given a user who has submitted a success story, when their story's status changes from 'Pending Approval' to 'Approved' or 'Rejected', then they should receive an email notification indicating the status and any feedback provided.

User Feedback on Published Success Stories

Given a user viewing an approved success story, when they click on the 'Like' button or leave a comment, then it should be recorded and reflected in the story's overall feedback score on the platform.

Search Functionality for Success Stories

Given a user on the Success Stories Showcase page, when they use the search bar to enter keywords related to their interests, then the displayed results should filter to show only those stories that match the criteria.

Success Stories Display

User Story: As a user, I want to browse through success stories so that I can find inspiration and ideas for improving my own farming practices.
Description: This requirement outlines the development of a visually appealing interface where submitted success stories can be displayed to the AgriSphere community. The display should feature a grid or list format, showcasing titles, snippets of content, and associated images or videos. Users should be able to filter and search stories by categories such as crops, techniques, or regions. This functionality promotes visibility of diverse farming strategies and serves as a motivational tool for users looking to implement similar successful methods, thus enhancing community interaction and knowledge sharing.
Acceptance Criteria: User views the list of success stories on the AgriSphere dashboard.

Given the user is logged into AgriSphere, when they navigate to the Success Stories Showcase, then they should see a grid format displaying at least 10 success stories with titles, snippets, and images/videos.

User filters success stories by crop type.

Given the user is on the Success Stories Showcase page, when they select a crop type filter from the dropdown, then the displayed stories should refresh to show only those related to the selected crop type.

User searches for specific keywords in success stories.

Given the user is on the Success Stories Showcase page, when they enter a keyword in the search bar and press enter, then the results should only display stories containing the keyword in the title or snippet.

User views detailed content when selecting a success story.

Given the user is on the Success Stories Showcase page, when they click on a success story, then they should be directed to a detailed page displaying the full story content, images, and related videos.

User submits a new success story for approval.

Given the user is on the submission page, when they fill out the form with a title, content, category, and upload at least one image, then they should receive a confirmation message that their story has been submitted for review.

Admin reviews submitted success stories for publication.

Given an admin is logged into AgriSphere, when they access the submissions list, then they should see all pending submissions with options to approve or reject each story.

Community Feedback Mechanism

User Story: As a community member, I want to give feedback on success stories so that I can encourage the authors and engage in discussions about their practices.
Description: This requirement establishes a system where users can provide feedback on the success stories shared within the platform. Features should include a rating system, comment sections, and sharing options for social media. This feedback mechanism intends to encourage interactions, offering a platform for appreciation, questions, and further discussions around the shared stories. It enhances community engagement and fosters a supportive environment, enabling users to connect with one another and create a sense of shared learning and collaboration.
Acceptance Criteria: User submits a success story through the AgriSphere platform.

Given the user is logged into the AgriSphere account, when they navigate to the Success Stories Showcase and fill out the submission form with valid information, then the story should be successfully submitted and appear in the showcase.

Users can rate success stories submitted by other users.

Given a user is viewing a success story, when they select a rating from 1 to 5 stars, then the rating should be recorded, and the average rating should update immediately on the story's display.

Users provide comments on success stories to engage in discussions.

Given a user is viewing a submitted success story, when they enter a comment and submit it, then the comment should appear on the success story page immediately and be visible to all users.

Users share a success story on social media platforms.

Given a user is viewing a success story, when they click the share button and select a social media platform, then the story should be shared on that platform with the correct link to the AgriSphere page.

Notify users about new comments on success stories they have engaged with.

Given a user has commented on a success story, when a new comment is added, then the user should receive a notification via email and in-app alert.

Users can filter success stories based on categories or tags.

Given a user is on the Success Stories Showcase page, when they select a filter category from the available options, then the displayed stories should update to show only those that match the selected category.

View a list of success stories sorted by popularity or date.

Given a user is on the Success Stories Showcase page, when they choose to sort the stories by the number of ratings or the date submitted, then the stories should reorganize accordingly in real-time.

Admin Moderation Tools

User Story: As an admin, I want to manage the content shared by users so that we maintain high-quality and relevant information within the AgriSphere community.
Description: This requirement defines the tools necessary for platform administrators to moderate submitted success stories to ensure quality and relevant content. Moderation tools will include options for reviewing submissions, approving published content, and managing user feedback effectively. This feature is crucial to maintain the integrity of the information shared within the platform, providing a safe and constructive space for users. Moderators will also be able to post featured success stories to highlight particularly impactful submissions, driving more user engagement.
Acceptance Criteria: Admin reviews a submitted success story for content quality and relevance.

Given a success story submission, when an admin accesses the moderation tools, then the admin should be able to view the full content of the submission, along with relevant user information, and have options to approve, reject, or request revisions.

Admin approves a quality success story for publication on the platform.

Given an approved success story by the admin, when the admin selects the 'publish' option, then the success story should be visible to all users on the Success Stories Showcase with proper formatting and no errors.

Admin manages user feedback on published success stories.

Given feedback from users on a published success story, when the admin accesses the feedback management tool, then the admin should be able to view all feedback, respond to it, or mark it as addressed, with changes reflected in the user interface.

Admin highlights a particular success story as a featured submission.

Given a list of approved success stories, when the admin selects a story to feature, then the selected story should appear in a 'Featured Success Stories' section, prominently displayed for user visibility.

Admin receives alerts for flagged submissions that require review.

Given a user flags a success story submission for inappropriate content, when the admin checks their notifications, then the admin should receive a notification with details of the flagged content for immediate review.

Admin accesses user submission history for moderation purposes.

Given the need to evaluate user submissions, when the admin navigates to the user management tool, then the admin should be able to view all success story submissions made by a specific user, along with their statuses (approved, pending, rejected).

Success Stories Notifications

User Story: As a user, I want to be notified when new stories are published or when someone comments on my story, so I can stay engaged with the community.
Description: This requirement aims to implement a notification system that alerts users when new success stories are shared or when there are comments or feedback on their submissions. Notifications should be customizable, allowing users to choose their preferred communication channels (email, in-app, or push notifications). This feature is vital for keeping the community informed and engaged, ensuring that users do not miss any valuable content or discussions surrounding their stories or those of others in the community.
Acceptance Criteria: User receives a notification via their preferred channel when a new success story is published in the AgriSphere community.

Given the user has opted for notifications on success stories, when a new success story is published, then the user should receive a notification through their selected communication channel (email, in-app, or push).

User can customize their notification preferences for success stories in their account settings.

Given the user accesses the notification settings, when they choose their preferred notification channels, then those preferences should be saved and applied for future notifications.

User receives a notification when there are new comments or feedback on their submitted success story.

Given the user has a success story submitted, when someone comments or provides feedback on that story, then the user should receive an immediate notification through their chosen channels.

User can toggle notifications on or off for different categories of updates (new stories, comments, etc.).

Given the user is in the notification settings section, when they toggle the settings for each notification category, then those settings should be applied accordingly and save for future use.

User receives a summary email every week containing highlights of new success stories and activity related to their submissions.

Given the user has opted in for a weekly summary, when the weekly summary is generated, then it should include links to new success stories and activity updates within the community that pertain to the user’s submissions.

User can access a notification history to review past notifications related to success stories and comments.

Given the user clicks on the notification history section, when they view the history, then they should see a chronological list of all notifications related to success stories, including summaries and timestamps.

User can easily update their communication preferences from the notifications settings page.

Given the user is in the notifications settings, when they make updates to their email or push notification preferences, then those changes should take effect immediately and be confirmed on the screen.

Analytics Dashboard for Success Stories

User Story: As a user, I want to see how my success story is performing so that I can understand its impact on the community.
Description: This requirement focuses on creating an analytics dashboard for tracking the performance of shared success stories. The dashboard will provide insights such as views, engagements, and feedback rates for individual stories. This feature will empower users to understand the impact of their contributions and provide data for the AgriSphere team to improve the platform's functionalities. The insights generated can inform best practices and highlight popular trends within the community, supporting continuous improvement and innovation.
Acceptance Criteria: Analytics Dashboard Display Metrics for Shared Success Stories

Given the user navigates to the Analytics Dashboard, when they select any shared success story, then the dashboard displays metrics such as views, engagements, and feedback rates for that specific story.

User Engagement Tracking on Success Stories

Given a user shares a success story, when other users view or engage with the story, then the dashboard updates engagement metrics in real-time to reflect the total number of views and interactions.

Feedback Rate Calculation for Success Stories

Given a success story has received feedback, when the user accesses the Analytics Dashboard, then the feedback rate is calculated as a percentage of total views and displayed accurately.

Historical Data Access for Success Stories

Given the user is on the Analytics Dashboard, when they select a date range filter, then the dashboard provides historical data of views, engagements, and feedback rates for shared success stories within that range.

Trend Analysis for Community Impact from Success Stories

Given multiple success stories have been shared, when the user views the Analytics Dashboard, then trends in community impact and best practices are highlighted based on engagement metrics and feedback.

Exporting Analytics Reports on Success Stories

Given the user selects the export function on the Analytics Dashboard, when the applicable metrics are chosen, then a downloadable report in CSV format is generated including views, engagements, and feedback rates.

User Notifications for High-Performing Success Stories

Given the Analytics Dashboard identifies a success story with exceptionally high engagement metrics, when the user logs into their account, then they receive a notification about the story's impact and reach.

Interactive Learning Paths

A structured learning journey that guides users through precision farming concepts with a mix of videos, quizzes, and hands-on activities. This feature allows users to progress at their own pace, reinforcing knowledge retention and building confidence in using precision agriculture techniques.

Requirements

Comprehensive Video Library

User Story: As a farmer, I want access to a comprehensive video library on precision farming techniques so that I can visually learn and apply these concepts effectively in my own practices.
Description: The requirement involves creating a comprehensive library of instructional videos covering various precision farming concepts and techniques. These videos will be categorized by difficulty level and topic, allowing users to easily find relevant content based on their individual learning needs. This feature will enhance user engagement, offer visual learning experiences, and support knowledge retention as users transition to advanced farming techniques. It is integral to the Interactive Learning Paths feature, serving as a foundational resource for users as they develop their skills.

Create products with ease

Product Details

Personas

Tech-Savvy Farmer

Sustainable Crop Manager

Innovative Agri-Entrepreneur

Community Education Officer

Tech-Integrated Agronomist

Product Ideas

Product Features

Trade Hub

Requirements

User Authentication

Listing Creation and Management

Search and Filter Functionality

Transaction Management System

Rating and Review System

Notification System

Real-Time Pricing Insights

Requirements

Dynamic Market Monitoring

Historical Price Analysis

Customized Pricing Alerts

Market Analysis Dashboard

Mobile Accessibility for Pricing Insights

Supplier Ratings and Reviews

Requirements

Supplier Search Filter

Automated Notification System

Supplier Reporting Feature

Review Moderation Mechanism

Supplier Comparison Tool

Supplier Feedback Analytics Dashboard

Smart Matchmaking

Requirements

User Profile Customization

Automated Match Notifications

Filtering and Sorting Options

Match Quality Ratings

Integration with Payment Gateway

User Engagement Analytics Dashboard

Dynamic User Support Chatbot

Seasonal Demand Forecasting

Requirements

Crop Demand Prediction Model

Market Trend Analysis Dashboard

Alert System for Demand Shifts

Integration with IoT and Satellite Data

User Feedback Mechanism

Collaborative Selling Groups

Requirements

Group Formation and Management

Bulk Pricing Negotiation Tool

Logistics Coordination

Shared Inventory Management

Community Feedback and Ratings System

Integrated Payment Solutions

Requirements

Seamless User Authentication

Multi-Currency Support

Transaction Confirmation and Receipts

Fraud Detection Mechanism

Mobile Payment Integration

Payment Dispute Management System

Dynamic Weather Insights

Requirements

Real-time Weather Data Integration

Automated Alerts for Weather Changes

Interactive Weather Forecast Dashboard

Historical Weather Data Analysis

Geolocation-based Weather Customization

Soil Moisture Monitoring

Requirements

Real-Time Soil Moisture Alerts

Moisture Analytics Dashboard

Mobile App Integration for Soil Moisture Data

Irrigation Scheduling Recommendations

Soil Moisture Level Historical Trends Analysis

Crop-Specific Requirements