"This photo was taken in August, in the Sing'isi village in Arusha, northern Tanzania, where my colleagues and I were conducting a field visit to farmers. I was demonstrating how to use a mobile app - named KilimoAI - to examine crop leaves. The app, which we've developed in-house, works by analysing a photograph of the plant to detect possible disease symptoms."
"To create the app, my colleagues and I took thousands of photos of plant leaves at farms, of both healthy and diseased crops. So far, we've focused on diseases affecting maize (corn), beans ( Phaseolus spp.), bananas and potatoes. After collection, images go through a verification process with the help of plant pathologists at the Tanzania Agricultural Research Institute in Arusha."
A team at the Nelson Mandela African Institution of Science and Technology in Arusha developed KilimoAI, a mobile app that analyzes photographs of plant leaves to detect disease symptoms. The developers collected thousands of leaf images from farms, capturing healthy and diseased samples across maize, beans (Phaseolus spp.), bananas and potatoes. Images undergo verification by plant pathologists at the Tanzania Agricultural Research Institute in Arusha. The verified dataset trains machine-learning models to distinguish healthy from diseased plants and to classify specific disease types, with a separate test set reserved to evaluate model accuracy. Field demonstrations were conducted in Sing'isi village, Arusha.
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