torchgeo/sustainbench_crop_yield
torchgeo
Predicting yields from satellite data is easier to work on when the data is already prepared and split. This is a crop yield forecasting dataset wired into a mapping focused machine learning library, ready to load in code.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Agronomy, soil & crop management
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Forecast crop yield from satellite images
- Ready to load yield prediction data
- Train a yield forecasting model
- How much will a field produce this year
- Compare yield models on the same data
- Satellite data already split for training
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Agronomy, soil & crop management
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Model download / weights · Code repository
DEPLOYMENT
You run it yourself
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
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