AI & Agriculture

Sick Plant, Smart Phone

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Cassava is a staple crop across East Africa, but cassava diseases can wipe out a farmer's entire harvest before they even know something is wrong — by the time symptoms are obvious to the eye, it's often too late to save the field.

Real example — PlantVillage Nuru

Researchers built an app called Nuru that runs an AI model directly on a basic smartphone. A farmer points their camera at a cassava leaf, and the AI — trained on thousands of labeled photos of healthy and diseased leaves — identifies the disease in seconds, no internet connection required.

📍 Used across Tanzania, Uganda, and Kenya

This solves a problem that simply could not be solved before: there aren't nearly enough agricultural experts to visit every small farm, but there are millions of smartphones already in farmers' pockets. AI turns each phone into an expert's eye.

Key concept — Why This Matters

This is 'narrow AI' from Course 1 in action — the model does exactly one job (recognize cassava disease from leaf photos) extremely well, running on cheap hardware, solving a problem tied directly to food security.

Check your understanding

1. What problem does the Nuru app solve for cassava farmers?

2. Why is this a strong real-world example of AI's value in Africa specifically?

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