Agro Rover V3 combines underground risk analysis, crop ripeness detection, soil-humidity monitoring, carbon credit tracking, market-aware harvest planning, and farmer voice/SMS/call alerts in one complete AI + IoT agriculture system.
Camera + sensor intelligence
GPS-based danger marking
Profit/loss decision support
Voice, SMS, call notification
Each module is shown as a buildable subsystem for a final-year project, contest demo, research extension, and later real hardware integration.
The V3 architecture follows a professional robotics pipeline: agricultural field, rover mobility, sensor acquisition, edge AI, decision engine, cloud communication, and farmer-facing dashboard.
Crop area, soil path, risk zone, humidity, temperature, and harvesting environment.
Tracked/6WD platform, motors, GPS, obstacle detection, manual and auto mode.
GPR-ready sensor, camera, soil moisture, humidity, temperature, IMU, GPS.
YOLO crop detection, underground risk classification, sensor fusion, field analysis.
Harvest planner, profit/loss calculator, carbon tracker, action recommendation.
Dashboard, SMS, voice alert, emergency call, report download, smart notification.
Enter crop and sustainability data. The system estimates revenue, profit, delay-loss risk, profit/cost ratio, carbon score, and recommended farmer action.
Use this component structure for the physical prototype. The GPR module can be shown as a GPR-ready system plus proxy underground risk sensing during early implementation.
Build the system step by step: website first, dashboard second, then hardware, AI, market planner, carbon tracker, and final integrated demonstration.
Finalize the landing page, agricultural background, dashboard UI, planner interface, and presentation-ready project story.
Build chassis, motor control, battery, manual movement, emergency stop, and basic auto navigation.
Add soil moisture, humidity, temperature, obstacle sensor, GPS mapping, and sensor-to-dashboard communication.
Collect crop images, label dataset, train YOLO model, and connect AI output with the dashboard.
Complete underground risk map, market planner, profit/loss calculator, carbon estimation, voice/SMS/call alert, and final demo.
A multidisciplinary team structure for AI robotics, IoT hardware, agriculture intelligence, dashboard development, and project management.
Responsible for system planning, module coordination, presentation, documentation, and final demonstration flow.
Develops YOLO-based crop ripeness, disease, damaged crop detection, and AI result integration.
Works on soil sensors, GPS, GPR-ready risk sensing, motor control, battery, and rover communication.
Builds the website, dashboard, chatbox, login system, market planner, and carbon report interface.
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AI-powered crop ripeness detection
GPR-ready underground risk analysis
Market-aware smart harvesting planner
Carbon credit estimation and reporting