Executive Summary
YieldAI bridges the intelligence gap in African agriculture. By processing multi-spectral satellite imagery through our proprietary AI, we predict pest threats and soil moisture before they destroy livelihoods.
The Yield Gap
Pest Threats
Farmers lose 40% of crops annually to pests that could be predicted via climate data.
Climate Volatility
Erratic rainfall patterns make traditional planting calendars obsolete and risky.
The Intelligence Edge
SMS-Direct Alerts
Farmers receive soil health and pest warnings via basic feature phones—no smartphone required.
Satellite Precision
Utilizing Sentinel and Planet data to monitor moisture levels down to the 3-meter plot level.
Development Stages
| Phase | Stage | Focus | Outcome |
|---|---|---|---|
| 01 | Pilot | Satellite-to-SMS Pipeline in Kenya | Moisture Mapping |
| 02 | Scaling | Pest Threat Predictive Modeling | Early Warning System |
| 03 | Commercial | Ag-Cooperative Data Licensing | Resilient Food Systems |
Economic Mobility
Directly increasing smallholder income by reducing waste and optimizing seed timing.
AI Sovereignty
Building African-centered crop models that reflect local soil chemistry and climates.
Sustainability
Optimizing fertilizer use to preserve African topsoil through precision application.
Pilot Zone: 3 Kenya Counties
We are currently proving our moisture models with 5,000 farmers in semi-arid regions. Finalizing the API for regional cooperative expansion.