AgriSense East Africa: AI-Powered Climate Adaptation for Smallholder Farmers

AgriSense-EA aims to develop and pilot an AI-driven mobile application that provides smallholder farmers in Kenya, Uganda, and Tanzania with real-time climate forecasts, crop disease detection using smartphone cameras, and personalized agronomic advice.

Objectives

• Develop an AI-powered mobile application with offline functionality for climate and crop advisory services
• Train 5,000 smallholder farmers across Kenya, Uganda, and Tanzania on using digital agricultural tools
• Establish public-private partnerships between East African SMEs and EU technology providers
• Reduce crop losses by 25% among participating farmers through early disease detection and climate adaptation
• Create a replicable model for digital agricultural extension services in low-resource settings

Methodology

Human-centered design and agile development. Phases: Assessment, AI development, App dev, Pilot, Scale-up.