MIRAGE MMST and MMMT leaderboards
University of Illinois Urbana-Champaign (AIFARMS and Center for Digital Agriculture) with Amazon
Before trusting an AI system on a farming or food task you need a way to check it. Ranks models on single-turn and multi-turn agricultural consultation tasks using identification accuracy, reasoning quality and management recommendation metrics.
What it helps with
- Compare models on farm consultation tasks
- Which model identifies crop problems better
- Rankings for multi turn farm advice
- Check management recommendation scores
- Leaderboard for farm vision language models
Scope & audience
Scientist / researcher · Developer / AI builder
Research & scientific knowledge
Cross-commodity
Access & technical details
Anyone can get it
Hosted leaderboard
Hosted by the publisher
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
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AgReason
- Does this model really reason about farming
- Compare how models answer farming questions
- Expert written agricultural test questions
- Score open ended farm answers
- Check a model beyond textbook recall
- Small test set for agronomy reasoning
SmartKisan-Finance Held-Out Eval Set
- Test a bot on farm loan questions
- Check answers about crop insurance for small farms
- Held back questions for farm finance models
- Smallholder lending questions with answers
- Sanity check a farm finance assistant before launch
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