Genomes to Fields Maize Genotype by Environment Prediction Competition
Genomes to Fields Initiative with USDA-ARS, National Corn Growers Association and Iowa Corn
Before trusting an AI system on a farming or food task you need a way to check it. Predicting maize hybrid grain yield across untested environments, with entries scored on held-out data through an EvalAI leaderboard.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free
DEPLOYMENT
Cloud-hosted
SOURCE REVIEWED
August 17, 2026
What it helps with
- Predict maize yield in a new environment
- How will a hybrid do in new places
- Enter a maize yield prediction contest
- Compare yield models on held out data
- Maize genotype and environment data
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
Hosted leaderboard
DEPLOYMENT
Hosted by the publisher
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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