Crop Disease Detection for Small-Scale Farmers
Developed a custom YOLO-based object detection system that helps smallholder farmers in Sub-Saharan Africa identify crop diseases using just their mobile phones. Achieved 94% accuracy on 12 common crop diseases with processing optimised for low-end devices.
π World Problem:
Smallholder farmers lose up to 30% of crops to unidentified diseases, contributing to food insecurity and poverty.