Crop Yield Prediction Built on Agricultural Ground Truth
Field-level crop yield predictions and historical yield estimates derived from satellite imagery, climate data, and one of the world's largest agricultural ground-truth datasets.
Agrograph combines satellite imagery, climate data, and machine learning to estimate crop yields at the field level, helping insurers, traders, producers, and lenders understand agricultural production as it unfolds. Our models are trained on proprietary yield data from more than 85,000 fields spanning 24 growing seasons and 12 million acres of cropland.
Understand Agricultural Production at Field Scale
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Our in-season crop yield prediction datasets capture the effects of weather, disease pressure, pest outbreaks, and management practices as the growing season unfolds. Prediction accuracy improves throughout the growing season. At harvest, our end-of-season yield predictions offer reliable yield estimates six months before the USDA NASS County Yields reports become available.
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Access annual field-level yield estimates dating back to 2000, including historical production trends, planting patterns, harvest timing, and yield variability.
Use Cases:
● Independent production verification
● Historical trend analysis
● Portfolio benchmarking
● Backtesting and underwriting support
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Measure yield variability across seasons to identify fields, regions, and portfolios with elevated production risk.
Use Cases:
● Risk assessment
● Insurance underwriting
● Agricultural lending
● Portfolio comparison
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Translate field-level yield predictions into commodity production forecasts by combining expected yields with remote sensing-verified planted acreage.
Use Cases:
● Supply forecasting
● Market intelligence
● Procurement planning
● Price risk management
Forecast Production With Confidence
Agrograph’s field-level yield intelligence helps insurers, traders, lenders, and producers make better decisions before traditional production data becomes available.
Field-Level Detail
Understand production variability that county-level yield reports cannot capture.
Agricultural Ground Truth at Scale
Models trained on 24 years of production data from 85,000 fields and 12 million acres of cropland.
Global Coverage
AI-powered yield intelligence across more than 800 million hectares worldwide.
Earlier Production Intelligence
End-of-season yield estimates available up to six months before traditional reporting sources.