Module 02 · Plant Vision AI · Preview
One photo. Full agricultural intelligence.
A computer vision engine trained on India's crops — identifying varieties, detecting disease, and forecasting yield from a single leaf image.
Beta
Variety ID
Identifies 1,200+ indigenous crop varieties across rice, wheat, millet, pulses, and vegetables.
Live · v0.7
Disease Diagnosis
Detects 84 field diseases across major Indian crops with 94.2% precision on held-out test set.
Q3 2026
Yield Forecast
Predicts field-level yield windows using leaf morphology + agro-zone climate data.
Model Architecture
Trained on India, for India.
- Vision Transformer backbone — 340M parameters, fine-tuned on 2.4M India-sourced field images.
- Multi-lingual output — Hindi, English, Marathi, Tamil, Bengali, Kannada, Telugu, Gujarati.
- Offline-first — 78MB quantized model runs on ₹6,000 Android phones without connectivity.
- Farmer-in-the-loop — Every correction retrains the network. Every diagnosis strengthens the map.
Live Inference · Sample Frame
Variety
Kalanamak Rice
Confidence
97.4%
Region
Siddharthnagar UP
Health
Optimal
Disease
None detected
Yield est.
3.8 t/ha
N-P-K
Balanced
Days to harvest
41
Waitlist · Priority Access
Join the first cohort.
Plant Vision AI ships to registered users first. Farmers, researchers, and agri-professionals get priority.