Crop Disease Detection App
Photo Credit: Responsible AI Lab (RAIL)
Across Ghana's farming communities, a quiet revolution in crop health is underway powered by AI that fits in a farmer's pocket. The Crop Disease Detection App is giving smallholder farmers the tools to identify and respond to crop disease before it devastates their harvests, using nothing more than a smartphone photograph.
Crop disease is one of the leading causes of yield loss across sub-Saharan Africa, yet most smallholder farmers lack access to the agronomists or diagnostic tools needed to identify infections early. By the time a disease is visible and recognisable, the damage and the economic loss is often already done.
The app uses advanced image recognition to detect up to 23 crop diseases from photos of infected leaves, delivering instant, actionable recommendations on treatment and best practices. To ensure the technology reaches the farmers who need it most, the app is available in Asante Twi, Akuapem Twi, Ewe, and Hausa, with audio support for users with limited literacy a deliberate design choice that reflects responsible, inclusive AI deployment.
The result is earlier detection, better-informed decisions, and healthier crops putting the kind of expert guidance once reserved for large commercial farms directly into the hands of smallholder farmers, and offering a replicable model for community-centred AI in agriculture across the continent.