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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.
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    • 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.
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    • 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.
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    • 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.
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