Plant Disease Detection
Capture field images at intervals using the Raspberry Pi camera and send them to the backend for crop analysis and disease classification.
- Scheduled image capture
- API upload pipeline
- AI prediction integration
These modules map directly to your current vision for SmartAgroNet and can be presented as individual system capabilities or bundled into one connected platform.
Capture field images at intervals using the Raspberry Pi camera and send them to the backend for crop analysis and disease classification.
Measure NPK and related soil health values to monitor nutrient balance and identify field-level deficiencies.
Manage irrigation automation for multiple land sections based on sensor values, timing, crop conditions, and rule thresholds.
Monitor borewell water levels and pump status to avoid dry runs, water shortages, and unnecessary pumping cycles.
Track tank filling, rainfall events, and storage capacity to help optimize harvested water usage in the farm ecosystem.
Measure air temperature, humidity, rainfall, and environmental shifts to improve planning and irrigation efficiency.