Farmers get a diagnosis from a phone photo, offline
An image classification model running entirely on the device, returning a diagnosis across six-plus diseases without a network connection.
- Client
- AgriTech client
- Industry
- Agriculture
- Country
- Pakistan
- Timeline
- 6 weeks
The challenge
The situation
Farmers were waiting days for a veterinary diagnosis, in conditions where connectivity cannot be assumed. A cloud-based tool would have failed exactly where it was needed most.
How we approached it
The thinking
We took the network out of the loop entirely. Running inference on the device means the constraint that would have killed the product, patchy rural connectivity, stops being a constraint at all. That decision set the model size budget, and everything else was engineered to fit inside it.
What we built
The engineering
An image classification model covering six-plus diseases, running entirely on the handset. Capture is a phone photograph; the diagnosis returns in seconds with no round trip.
- Classification across six-plus diseases
- On-device inference, no internet required
- Phone-camera capture workflow
How it helped
The difference
Diagnosis moved from a multi-day wait to the moment of inspection, in the field conditions where the decision actually gets made.
Measured result
Farmers get a diagnosis from a phone photo in seconds, offline.
Next step
Got a problem shaped like this one?
Tell us the situation in plain language. We'll tell you how we'd approach it, what we'd build first, and where the risk sits.
Direct
contact@solinovo.comWe reply within one business day. If we're not the right fit, we'll say so.