AI & ML Models
Trained on 800K+ Images
Farmer Network
400,000+ Farmers
Crop Protocols
15 Major Field Crops
The Technology Foundation
RegenCrops was built on the conviction that regenerative agriculture can only scale with the right digital infrastructure underneath it. Manual farm inspections, paper-based record keeping, and fixed agronomic calendars cannot support the precision and responsiveness that regenerative systems require.
Our proprietary technology stack replaces manual processes with geospatial intelligence, predictive analytics, and AI-driven recommendations — delivered through a customisable, multilingual platform accessible to farmers across India and globally.
Geotagged Farm Activity Tracking & ICS Audits
Automating Internal Control System (ICS) audits is one of the most impactful applications of our technology. Farmers upload geotagged images directly verifying sustainable practices adherence — from cover crop establishment to compost application. This creates:
- AI-based anomaly detection ensuring organic and sustainability certification compliance
- End-to-end traceability enabling transparent sustainable agriculture supply chains
- Audit trails that satisfy third-party certification bodies without costly on-site inspections
- Real-time farmer scoring that guides continuous improvement rather than pass/fail compliance
Machine Learning Pest & Disease Surveillance
Our image-based detection system is trained on over 800,000 labelled field images across the major crops in our portfolio. A farmer photographs an affected plant — the model identifies the pest or disease, quantifies severity, and generates a remediation recommendation tailored to the farm's input history and current stage.
Real-time alerts enable proactive interventions, while continuous learning from new field images means accuracy improves with every growing season.
AI-Powered Satellite Mapping & Hybrid Image Analysis
At the field scale, our platform integrates satellite multispectral imagery with ground-level sensor data to deliver:
- Soil moisture and soil carbon assessment at sub-field resolution
- Crop health and phenological stage tracking to optimise intervention timing
- Geospatial analytics for large-scale farm network monitoring and aggregate reporting
- Early stress detection — water, nutrient, and pest — before symptoms become yield-limiting
Crop-Specific Regenerative Protocols
RegenCrops provides science-backed crop management packages for 15 major field crops — including hot pepper, rice, turmeric, potato, groundnut, maize, cotton, sunflower, and tomato. Each protocol is built on peer-reviewed agronomy and validated through our model farm network.
Protocols address soil biodiversity and carbon sequestration, reduced chemical input dependency, cover cropping, intercropping, organic soil amendments, and biodiversity enhancement — unlocking carbon credit opportunities for farmers who meet the standard.