Sorghum-100

Saint Louis University vision lab with Donald Danforth Plant Science Center and TERRA-REF

Before trusting an AI system on a farming or food task you need a way to check it. Cultivar identification from sorghum plant images, with a fixed test set and reported top-1 classification accuracy baselines.

Models, data & tools
Research & scientific knowledge
Free
Self-hosted / on-premise · Downloadable
Visit provider site
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

  • Identify a sorghum variety from a photo
  • Tell sorghum cultivars apart by image
  • Test a model on cultivar identification
  • Fixed test set for sorghum plant images
  • Compare accuracy on sorghum photos

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

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

Explore more like this

AutoBench Agronomy/Evja Run

Peter Kruger / Evja
Models, data & tools
If you want to repeat someone else's model comparison rather than take their word for it, you need the run itself. This is a published evaluation run comparing language models on agronomy questions, with the data to reproduce it.
Free · Open source
Self-hosted / on-premise · Downloadable
Benchmarks & evaluations
View listing
AutoBench Agronomy/Evja Run
plan-manage-production
agronomy-soil-and-crop-management
buildable-or-downloadable-component
benchmarks-and-evals
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
  • Reproduce a model comparison on agronomy questions
  • Published results comparing farm advice models
  • Check someone else's model evaluation
  • Data to rerun an agronomy test
  • How did models score on agronomy questions
  • Repeat a language model comparison yourself

precisionai-agrieval

Precision AI Inc
Models, data & tools
You have an agricultural vision model and no consistent way to check how it behaves across different tasks. This is an installable Python toolkit that runs image search, region labelling and diagnostic checks so results can be compared.
Free · Open source
Self-hosted / on-premise · Downloadable
Benchmarks & evaluations
View listing
precisionai-agrieval
monitor-land-climate-sustainability
geospatial-imagery-and-remote-sensing
buildable-or-downloadable-component
benchmarks-and-evals
Free · Open source
Self-hosted / on-premise · Downloadable
August 23, 2026
  • Check how well my crop image model works
  • Compare vision models on farm images
  • Test image search on field photos
  • Run diagnostic checks on a vision model
  • Score region labelling on farm imagery
  • Python toolkit for testing ag image models
Is this your Resource?

Contact us to claim this listing and add details, screenshots or a demo.