CropHarvest
NASA Harvest, University of Maryland
Before trusting an AI system on a farming or food task you need a way to check it. Crop and crop type classification from satellite, climate and elevation inputs, with region specific evaluation tasks and baseline implementations.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Map crop types from satellite images
- Tell cropland from other land
- Test a model on crop classification by region
- Satellite climate and elevation data for crops
- Baseline code for crop mapping
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Research & scientific knowledge
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
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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