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Zara Kipchoge's Team

AI & Data Science Sokoine University

FarmAI

Problem Statement

Smallholder farmers in Tanzania lose 30–40% of crops annually due to pests and diseases they cannot identify early enough to treat cost-effectively.

Proposed Solution

A mobile app using computer vision to diagnose crop disease from a photo. Farmers receive a diagnosis, treatment recommendation, and nearest agro-dealer within seconds - even offline using an on-device model.

Innovation

On-device inference so it works without internet; dataset built from Tanzanian crop images

Expected Impact

Cut crop loss by 20% for 50,000 farmers in the first year of deployment

Standing
AI & Data Science 13.1 pts • #18
Team Members
ZK
Zara Kipchoge
Leader