The Problem

In Western Equatoria, South Sudan, disease outbreaks destroy up to 70% of maize crops annually — leaving farmers with just 30% of their potential yield. Maize is the most widely grown field crop across the Equatoria region, and its failure drives chronic food insecurity, destabilizes local economies, and threatens the livelihoods of thousands of smallholder farming families. Traditional disease identification relies on extension workers who are scarce and often arrive too late.

Our Solution

MaizeGuard AI is an AI-powered platform that uses computer vision and machine learning to detect maize diseases early — before they devastate crops. Farmers simply capture an image of their maize plant using a smartphone, and the platform instantly identifies and classifies the disease, recommends intervention steps, and logs the data to help track regional disease patterns. Our goal: reduce crop losses, support sustainable agriculture, and put the power of early detection directly in farmers' hands.

How It Works

Impact Vision