Sells satellite-derived, field-level agricultural data: historical and in-season crop yield estimates/forecasts (ML models trained on 24 years of data from 85,000 fields), crop identification, and hazard-risk data covering 800M hectares, sold to crop insurers, producers/traders, and geospatial platforms.
- Contact
- Request sample
For Agrograph
- Listed in
- Neudata
- Coverage
- field-level crop yield forecastscrop identificationhazard risk assessmentscrop condition intelligence
- Sector
- agriculture
- Region
- US
- History
- 24y
- Access
- A5contact form
Datasets
satellite-derived field-level agricultural dataset: in-season + historical crop yield forecasts, crop identification and hazard risk over 800M hectares (~50% of world cropland), models trained on 24 years of production data from 85,000 fields, archives back to 2000
- Structure
- Field-level rows / parcels carrying "field-level yield forecasts, crop conditions, hazard assessments", plus crop-type identification labels across "corn, soybeans, wheat, cotton, and other major row crops", over "more than 800 million hectares of crops" with historical archives "back to 2000". Exact field names, units and polygon geometry details are not published
- Use cases
- crop insurance and agricultural trading
- Classification
- Consumer Staples › Food, Beverage & Tobacco › Food Products › Agricultural Products & Services
- Format
- "Receive field-level agricultural intelligence about the crops, geographies, and variables relevant to your business through RESTful APIs, shapefiles, or customized data subscriptions."
- Coverage
- Consumer Staples
- Asset class
- Field level crop yield forecastsCrop identificationHazard risk assessmentsCrop condition intelligence
- Tickers
- ADMBGDECTVANTRCF
- Exchanges
- NYSE
- Category
- agriculture
- Archive depth
- 24 years
- Access
- access via outreach