How a Belarusian startup transformed 36+ million agricultural parcels across Europe and the US using free Copernicus Sentinel-1 and Sentinel-2 satellite data combined with artificial intelligence.
OneSoil leverages the European Union's Copernicus programme — the world's largest Earth observation initiative — to provide free, AI-driven agricultural intelligence to farmers worldwide.
Detects 20+ crop types with an impressive F1 score of 0.9 using deep learning algorithms trained on Sentinel-1 and Sentinel-2 satellite imagery.
Calculates the Normalized Difference Vegetation Index (NDVI) to monitor plant vigor, detect stress early, and optimize intervention timing throughout the growing season.
Daily vegetation health updates
Generates precise prescription maps for variable-rate application of nitrogen, phosphorus, and other fertilizers — compatible with major agricultural machinery brands.
Export directly to field equipment
From satellite data to actionable farm insights
Copernicus Sentinel-1 (radar) and Sentinel-2 (optical) provide free, frequent Earth observations
Machine learning algorithms automatically detect field boundaries, crop types, and vegetation health
Farmers access data via web platform or mobile app — maps, alerts, and VRA prescriptions
Reduced input costs, increased yields, and sustainable agriculture practices
Optical imagery with 10m resolution
NDVI calculations, crop type classification
Radar imagery — works through clouds
Field boundary detection, soil moisture
C3S, CAMS, CLMS integration
Local weather forecasts, climate indicators
How OneSoil translates satellite data into daily farming decisions
Variable-rate nitrogen and phosphorus application reduces input costs while maximizing yield potential.
Historical crop maps enable intelligent rotation planning to maintain soil health and prevent disease.
Hyper-local weather data helps schedule planting, spraying, and harvesting operations.
Identify problem zones from the screen — no need to walk every field. Focus on areas that need attention.
NDVI = (NIR — Red) / (NIR + Red). Higher values indicate healthier, more photosynthetically active vegetation.
Fields are divided into management zones based on NDVI patterns — high, medium, and low vigor zones.
Nitrogen application rates are adjusted per zone: less where vegetation is already vigorous, more where plants show stress.
Result: Farmers can reduce nitrogen fertilizer use by 10-30% while maintaining or increasing yields — lowering costs and reducing environmental runoff.
Join over 36 million parcels analyzed with Copernicus-powered AI
Free platform • Available worldwide • Works on web and mobile
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