Bolstering AI Agronomy
Farmers and other agriculture professionals are using public and proprietary chatbots for generative AI Ag information services worldwide, reaching hundreds of thousands of farmers in the US, India, Africa, and beyond. But until recently they didn’t have a systematic way to assess the accuracy, relevance, or general usefulness of the answers they received.
How accurate is the agronomic advice from LLMs and AI-based agricultural advisory tools?
On January 28, the AI AgriBench consortium announced a benchmarking service for AI-based advisory services for agronomy and crop management. They developed a trusted framework to evaluate and build confidence in the new generation of digital tools that support farmers and the broader agricultural community. The first version of the AI AgriBench benchmark addresses core agronomic understanding, a key technical foundation for on-farm advice.
The CropWizard Project
The benchmarking methodology is based on research conducted within the CropWizard project of the National AI Institute, AIFARMS. It provides a transparent, expert-reviewed benchmark grounded in real-world agronomy and farm management questions drawn from land-grant university extension publications.
More about the AI AgriBench Consortium
The Center for Digital Agriculture (CDA) at the University of Illinois Urbana-Champaign leads the AI AgriBench consortium. AI AgriBench brings together academic, industry, nonprofit, and extension partners worldwide to support trustworthy, responsible adoption of AI in agriculture. Founding and member organizations include AIFARMS, Bayer Crop Science, Extension Foundation, Kissan AI, John Deere, Microsoft, DeepRoot Strategies, Farmers Business Network, Taranis, Precision Development, and Digital Green.
The public benchmarking consortium was created to evaluate the accuracy, relevance, and practical usefulness of AI-powered advisory services for agriculture.
Learn more about AI AgriBench.
