Flight Control: Provide capabilities for autonomous and manual flight control of drones, including takeoff, landing, and navigation.
Mission Planning: Allow users to plan and schedule drone missions, including defining flight paths, areas of interest, and data collection parameters.
Data Collection
Sensor Integration: Support integration with various sensors on drones, such as cameras, multispectral sensors, LiDAR, and thermal sensors.
Real-Time Data Capture: Enable real-time capture of images, video, and sensor data during drone flights.
Data Processing and Analysis
Image and Video Processing: Implement tools for processing captured images and video, including stitching, enhancement, and analysis.
Crop Health Analysis: Provide algorithms for analyzing crop health indicators, such as vegetation indices (e.g., NDVI), disease detection, and pest identification.
Soil Analysis: Analyze soil conditions using sensor data, including moisture levels and nutrient content.
Data Storage and Management
Data Storage: Manage and store collected data securely, including images, videos, and sensor readings.
Metadata Management: Store metadata associated with each data set, such as location, time, and sensor information.
Visualization and Reporting
Dashboard: Provide a user-friendly dashboard to visualize data, including maps, charts, and graphs.
Reports: Generate detailed reports on crop health, soil conditions, and other relevant metrics, with customizable templates.
Integration and Compatibility
GIS Integration: Integrate with Geographic Information Systems (GIS) for advanced spatial analysis and mapping.
Third-Party Tools: Support integration with other agricultural management tools and software.
User Management and Access Control
User Roles: Implement role-based access control to manage user permissions and access to different system features and data.
Account Management: Provide functionalities for user registration, authentication, and profile management.
Alerts and Notifications
Alerts: Send alerts for critical issues detected during monitoring, such as signs of disease, pest infestations, or abnormal conditions.
Notifications: Notify users of upcoming drone missions, data availability, and system updates.
Maintenance and Support
System Maintenance: Provide tools for regular system maintenance, including firmware updates and troubleshooting.
User Support: Offer support services for system users, including documentation, helpdesk, and training resources.
Non-Functional Requirements
Performance
Data Processing Speed: Ensure timely processing and analysis of data to provide actionable insights quickly.
Real-Time Operation: Support real-time data streaming and processing for immediate decision-making.
Usability
User Interface: Design an intuitive and user-friendly interface that simplifies mission planning, data analysis, and report generation.
Training: Provide user training and support to help users effectively operate drones and utilize the system.
Reliability
System Availability: Ensure high availability with minimal downtime to support continuous monitoring and data collection.
Fault Tolerance: Implement mechanisms to handle system errors and failures gracefully, ensuring continuity of operations.
Security
Data Protection: Encrypt data during transmission and storage to protect against unauthorized access and breaches.
Access Control: Implement strong authentication and authorization mechanisms to secure user accounts and system features.
Maintainability
Code Quality: Maintain a clean, well-documented, and modular codebase to facilitate updates, debugging, and maintenance.
Update Management: Provide a structured process for deploying updates and patches to improve system functionality and security.
Compatibility
Hardware Compatibility: Ensure compatibility with various drone models and sensor types used for agricultural monitoring.
Software Integration: Support integration with different software platforms and tools used in agricultural management.
Scalability
System Scalability: Support scaling to accommodate increasing numbers of drones, data volume, and users without performance degradation.
Data Handling: Efficiently handle large datasets generated from extensive agricultural monitoring.
Compliance
Regulatory Compliance: Adhere to relevant regulations and standards for drone operations, data privacy, and agricultural practices.
Industry Standards: Follow best practices for drone-based monitoring and data management.
Backup and Recovery
Data Backup: Implement regular backups of system data, including collected images, videos, and analysis results.
Disaster Recovery: Develop and maintain a disaster recovery plan to restore system functionality and data in case of major failures.
