QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026

What it helps with

  • Test if an assistant handles farm photos
  • Score a model on agricultural picture questions
  • Compare farm assistants on the same questions
  • Expected answers for farm image questions
  • Check a model before trusting field photos
  • Test set for text and image farm questions

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

Model download / weights · Dataset download

DEPLOYMENT

You run it yourself

LANGUAGES

Not stated by provider

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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Agriculture-Vision

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Before trusting an AI system on a farming or food task you need a way to check it. Semantic segmentation of six aerial farmland anomalies including weed cluster, standing water and planter skip, scored by mean intersection over union.
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  • Find weed clusters in aerial farm images
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lm-evaluation-harness task kmmlu_direct_agricultural_sciences

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Models, data & tools
Before trusting an AI system on a farming or food task you need a way to check it. Korean Agricultural-Sciences multiple-choice subject defined as a direct-answer task in the lm-evaluation-harness.
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Self-hosted / on-premise · Downloadable
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Free
Self-hosted / on-premise · Downloadable
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  • Test a model on Korean agriculture questions
  • How well does a model know agriculture in Korean
  • Run a Korean farm knowledge test
  • Compare models on Korean agricultural sciences
  • Direct answer agriculture question set
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