Crop disease detection from farmer-submitted photos

Project Description

We work with about 400 contract farmers who send us photos of affected crops on WhatsApp, and our agronomist answers them one by one. We want a first-pass classifier for the twelve most common issues in the crops we source, with a confidence score that routes the uncertain ones to the agronomist. Photos are exactly what you would expect: phone cameras, poor light, sometimes out of focus. Trained on clean lab images this will fail, and we would rather you tell us that now. We have about 5,000 labelled photos from real submissions.

Skills Required