AgroLLM is a conversational tool developed by researchers from Pittsburg State University, Oxford Brookes University, and other institutions. It is designed to help farmers make better decisions by providing useful information on farming practices. AgroLLM uses Generative AI to answer farmers' questions, offering advice on topics like crop management, climate impact, and pest control. The tool works by searching through a collection of agricultural resources, including agricultural textbooks, research articles, and other open agricultural datasets. AgroLLM generates responses based on these resources in efforts to assist farmers in improving their practices.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.