FarmIT partnered with 100 smallholder cabbage farmers in the Ol Kalou District of Kinangop, a region known for its cool climate and suitability for cabbage cultivation. However, farmers faced significant challenges, including pests such as cabbage aphids and diamondback moths, along with diseases like black rot, which affected both yield and quality.

Through the Sensei platform, FarmIT introduced machine learning and computer vision tools to help farmers detect and manage pests and diseases in real time. These tools provided immediate, actionable insights and recommendations, enabling farmers to take proactive steps to protect their crops. Additionally, Sensei offered tailored advice on irrigation, fertilizer use, and crop management, optimizing inputs and ensuring better resource efficiency.

As a result, farmers in Ol Kalou District saw improved yields, reduced crop losses, and better-quality produce, leading to increased incomes and improved livelihoods. The K-CRI project not only addressed the immediate challenges but also fostered the adoption of sustainable farming practices, positioning the district for long-term agricultural success.