Agriculture AI at the Edge.
Offline-first. Solar-powered. Field-ready.
Crop disease detection with 94%+ accuracy on 50+ Indian crops, precision irrigation saving 30–40% water, yield prediction 4–6 weeks pre-harvest, and drone analytics — all running offline, solar-powered, in zero-connectivity fields.
Three scales of agricultural AI
From individual farm plots to multi-district agricultural intelligence — edge AI that works where internet doesn’t.
Field AI Node
- Power Solar + battery (IP67)
- Camera 1× crop monitoring cam
- Sensors Soil + weather station
- Connectivity 4G LTE fallback
- Storage 256GB local
- Enclosure IP67 field-rated
Farm AI Hub
- Power Solar + mains hybrid
- Cameras 4× field + 1× drone feed
- Analytics Disease + irrigation + yield
- Connectivity 4G + LoRa mesh
- Storage 1TB analytics database
- Coverage 50–200 acre farm
Agriculture AI Centre
- Coverage 1,000–10,000+ acres
- Data Sources Satellite + drone + ground
- Analytics Full precision agriculture
- Connectivity Multi-WAN + satellite
- Storage 4TB imagery database
- Dashboard FPO / District level
AI capabilities for Indian agriculture
Crop Disease Detection
94%+ accuracy on 50+ Indian crop diseases — rice blast, cotton bollworm, wheat rust, tomato blight. Early detection saves 15–30% yield losses.
Precision Irrigation
Soil moisture + weather + crop stage AI analysis for optimised irrigation scheduling. 30–40% water reduction with maintained or improved yield.
Yield Prediction
4–6 week pre-harvest yield estimation using satellite imagery + ground truth AI. Enables better procurement planning, storage allocation, and market timing.
Drone Analytics
NDVI mapping, crop health assessment, weed detection, and spray planning from drone imagery — processed at the edge, not in cloud.
Offline-First Design
Solar-powered, 4G-connected when available, fully functional offline. AI inference and data logging continue without any network connectivity.
Livestock Monitoring
AI-powered cattle health monitoring, oestrus detection, and feed optimisation. Computer vision for herd counting and behaviour anomaly detection.
Agricultural AI applications
Crop Health & Disease
Real-time monitoring for rice, wheat, cotton, sugarcane, and horticulture crops. AI identifies diseases, nutrient deficiencies, and pest damage.
Smart Irrigation
Sensor-driven precision irrigation with AI-optimised scheduling. Drip and sprinkler control integrated with weather forecasting.
Agricultural Drones
On-drone AI for crop mapping, health assessment, and targeted spraying. Process aerial imagery at the edge during flight.
Post-Harvest & Cold Chain
Temperature, humidity, and ethylene monitoring in storage and transit. AI predicts shelf life and optimises cold chain logistics.
RDP integration for agricultural AI
Solar-Powered Edge AI
Complete solar + battery systems for zero-grid operation. IP67 enclosures rated for Indian monsoon, dust, and 50°C+ ambient field conditions.
Rural Connectivity Solutions
4G LTE with LoRa mesh networking for multi-acre coverage. Satellite fallback for remote areas. Offline-first with periodic data sync.
FPO & Government Ready
GeM-listed for agricultural AI projects. Eligible for PM-KISAN, RKVY, and state horticulture mission procurement. FPO bulk pricing available.
Krishi Mitra Support
Local language support, farmer training, and FPO onboarding. RDP provides agronomist-validated AI model deployment for Indian crop conditions.
Ready to bring AI to the edge?
Tell us your use case, performance requirements, and deployment scale. We’ll recommend the right platform, configure the right Edge PC, and deliver validated hardware — from pilot to production.