Field-Level Crop Intelligence for Better Risk Decisions

Field-level production history, yield forecasts, and risk insights for any row crop in any country—even where local records are limited.

Reliable crop intelligence is difficult to obtain at scale. In many regions, production records are incomplete, government statistics are released months after the growing season, and field-level data is unavailable. Agrograph combines satellite imagery, climate data, and machine learning to help insurers, producers, and traders understand what is growing, how much it will produce, and what risks may affect future performance.

Answer Critical Crop Production Questions

Identify Crops with Confidence

Accurate crop identification is the foundation of every other agricultural insight. Agrograph uses satellite imagery and machine learning to identify major row crops across global agricultural regions.

An aerial view of green agricultural fields with a dirt road running through them and a white tunnel or greenhouse structure along one side.

Supported Crops Include:

●      Corn

●      Soybeans

●      Wheat

●      Cotton

●      Rice

●      Canola

●      Sorghum

●      Sunflower

●      and More

Forecast Production Before Harvest

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Crop Yield

Generate in-season yield forecasts and end-of-season yield estimates using satellite imagery, climate data, and historical production trends. Learn more about Crop Yield Prediction.

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Gross Revenue Per Acre

Translate yield intelligence into expected revenue using current commodity pricing and field-level production data.

Quantify Risk & Earning Potential

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Ag Risk Score

Compare risk across geographies, portfolios, or insurance books using a standardized field-level score. This proprietary metric pulls together many data sources including yield data, physical characteristics, and management practices.

Golden wheat fields under a clear blue sky.

Earning Potential Index

Compare fields across crops, geographies, and portfolios using a standardized measure of productive capacity.

Solve Agricultural Data Gaps at Scale

Agrograph’s customized agricultural production data subscriptions help you understand what is growing, forecast production outcomes, and quantify risk.

Field-Level Detail

See variation that county-level datasets miss.

Proven Agricultural Ground Truth

Models trained on 24 years of production data from 85,000 fields.

Global Coverage

Reliable insights across 800 million hectares worldwide.

Geospatial Analytics Software

Provide best in class field-level data inside your geospatial mapping platform.

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