AgriVision Bench
KissanAI
An open agricultural-vision benchmark and evaluation harness that measures diagnosis precision, coverage and confident-error rate when a system can abstain on uncertain crop-disease images.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Crop protection & plant health
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise
SOURCE REVIEWED
October 6, 2026
What it helps with
- Evaluate crop-disease vision systems
- Compare model coverage and precision
- Test abstention behavior
- Reproduce agricultural AI results
Scope & audience
WHO IT'S FOR
Developer / AI builder · Scientist / researcher · Agronomist / crop advisor
AREA OF WORK
Crop protection & plant health
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Code repository
DEPLOYMENT
You run it yourself
LANGUAGES
English
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed October 2026
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Annotated datasets for the validation of AI algorithms on crops, weeds, diseases, and pests
Wageningen University & Research and Munster Technological University, via agrifoodTEF
Services & solution providers
Before trusting an AI system on a farming or food task you need a way to check it. Provides FAIR annotated image datasets and returns performance metrics for customer algorithms submitted in ONNX format.
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Contact us to claim this listing and add details, screenshots or a demo.