Functional requirements of Smart Farming System with non-functional

Functional Requirements

1. User Authentication and Authorization
   • Allow farmers, agronomists, and administrators to register, log in, and manage their accounts securely.
   • Different access levels based on user roles (e.g., farmer, consultant, admin).
2. Farm Monitoring and Management
   • Provide real-time monitoring of farm conditions such as soil moisture, temperature, humidity, and light levels.
   • Support for monitoring various farm assets like crops, livestock, and equipment.
3. Irrigation Management
   • Automate and optimize irrigation schedules based on soil moisture levels and weather forecasts.
   • Provide manual and automated control of irrigation systems.
4. Crop and Livestock Management
   • Track and manage crop growth stages, livestock health, and productivity.
   • Record and monitor data related to planting, harvesting, and feeding schedules.
5. Weather Forecasting and Alerts
   • Integrate with weather services to provide accurate forecasts and alerts for weather conditions that may impact farming activities.
   • Notify users of severe weather events and suggest actions to mitigate risks.
6. Fertilization and Pest Control
   • Manage and optimize fertilization schedules and pesticide application based on crop needs and pest conditions.
   • Provide recommendations for fertilizers and pest control measures.
7. Data Analytics and Reporting
   • Analyze farm data to generate insights into crop yields, resource usage, and operational efficiency.
   • Provide detailed reports on farm performance, production metrics, and financials.
8. Inventory and Supply Chain Management
   • Track and manage inventory of seeds, fertilizers, pesticides, and equipment.
   • Integrate with supply chain management systems to streamline procurement and distribution.
9. Equipment and Machinery Management
   • Monitor and manage farm equipment and machinery, including usage, maintenance schedules, and performance metrics.
   • Provide alerts for equipment malfunctions or required maintenance.
10. User Interface and Dashboard
    • Provide an intuitive user interface and dashboard for accessing farm data, managing operations, and viewing insights.
    • Offer customizable views and widgets for different user needs.
11. Integration with IoT Devices
    • Integrate with IoT sensors and devices for monitoring environmental conditions, soil health, and equipment status.
    • Support data collection and communication with external sensors and devices.
12. Emergency Management
    • Provide tools and protocols for handling emergencies such as equipment failures, pest infestations, or extreme weather conditions.
    • Allow for quick communication and action plans.
13. Training and Support
    • Offer training resources and support for users to effectively utilize the system.
    • Provide help documentation and user guides.

Non-Functional Requirements

1. Performance
   • Ensure the system can handle a high volume of data from various sensors and devices efficiently.
   • Provide quick response times for user interactions and data updates.
2. Scalability
   • The system should be scalable to accommodate growing numbers of sensors, devices, and users.
   • Support both horizontal and vertical scaling as the farm operation expands.
3. Availability
   • Ensure high availability with minimal downtime (e.g., 99.9% uptime).
   • Implement redundancy and failover mechanisms to handle system failures.
4. Security
   • Protect user data, farm information, and system communications through encryption and secure access controls.
   • Implement regular security assessments and adhere to data protection regulations.
5. Usability
   • Design an intuitive and user-friendly interface for farmers and other users.
   • Provide clear navigation, help documentation, and support.
6. Compatibility
   • Ensure compatibility with various devices (e.g., smartphones, tablets, desktops) and communication protocols (e.g., IoT standards).
   • Integrate with existing farm infrastructure and third-party systems.
7. Maintainability
   • Codebase should be modular, well-documented, and easy to maintain.
   • Implement automated testing and continuous integration practices.
8. Reliability
   • Ensure reliable operation with robust error handling and recovery mechanisms.
   • Minimize system errors and downtime through proactive monitoring and maintenance.
9. Compliance
   • Adhere to relevant agricultural regulations, data privacy laws, and industry standards.
   • Ensure compliance with environmental and safety regulations.
10. Efficiency
    • Optimize resource usage (e.g., memory, CPU) to ensure efficient operation and cost-effectiveness.
    • Implement energy-efficient practices for system operation.