Precision AgriTech for Smallholder Farmers
CaseStudy Title: Precision AgriTech for Smallholder Farmers
Problem
Smallholder farmers across West Africa lose up to 40% of their crop yields each season due to unpredictable rainfall, pest outbreaks, and lack of access to timely agronomic advice. Most farming decisions are still made without data, leading to wasted inputs and food insecurity.
Solution by StrikeClimate
Built a mobile-first precision agriculture platform that combines drone-captured multispectral imagery, localized weather forecasts, and soil nutrient mapping to deliver actionable field-level recommendations to farmers in real time.
Features:
- Field-level crop health monitoring via drone imagery
- AI-generated planting and irrigation schedules based on micro-weather data
- Pest and disease early detection with image recognition
- Offline-capable mobile app with SMS fallback for alerts
Technologoes:
- Drone-based multispectral imaging
- Localized weather forecasting APIs
- Soil nutrient analysis sensors
- SMS and USSD delivery for low-connectivity areas
Impact
- Reduced crop losses by 35% across pilot communities in two growing seasons
- Enabled 2,000+ smallholder farmers to make data-driven planting decisions
- Decreased water usage by 25% through optimized irrigation scheduling
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