Solution blueprint. This describes how BigAI delivers this type of project, using our products and methods. It is not a specific client engagement.
The challenge
By the time a disease is recognised and an expert is consulted, it has often spread across the field and to neighbouring farms. Extension staff cannot visit every farmer.
Our approach
- Collect and label images of the main crops and diseases in the region, with agronomists.
- Train a compact vision model that runs on low-cost Android phones, even offline.
- Connect results to an advisory assistant grounded in approved agronomy guidance.
- Aggregate reports into an outbreak map for the FPO and extension officers.
The solution
- BigAgri mobile app with offline disease detection
- Advisory assistant in local languages
- Outbreak map and alerts for the FPO
What we measure
- Detection accuracy per crop and disease, checked by agronomists
- Time from first symptom to advice
- Farmer adoption and repeat use
- Spread of outbreaks compared with previous seasons
