Solar AI cameras warn Kenyan farmers about pests before it is too late

Problem

[Opening scene: a farmer in Kajiado County, the morning she found her crop damaged. From an interview or a published source.]

[Context: how pests and crop disease affect small farms in Kenya, with a sourced figure and date.]

AI solution

Solar-powered cameras placed in the field take regular pictures of the crop. An AI model looks for signs of pests, disease and nutrient problems, then sends an early warning by SMS in a local language, so a farmer without a smartphone still gets the alert.

[How it works in one more paragraph, in plain language, from the team.]

35%

Impact

[Results with dates and sources: crop losses, income, farmer adoption. Clearly marked as a pilot.]

[What is next: plans to expand, and what still needs to be proven.]

“[A real quote from the founder or a farmer, from an interview or a cited source.]”[Name, role]

People

[Who built it, why, and the community that made the pilot work.]

Why it matters

[Two or three sentences: what this shows about AI for small farmers everywhere.]