In collaboration with Bayer Crop Science, KissanAI, and the Extension Foundation, AI AgriBench aims to build confidence in question-answering systems for digital crop production.
In collaboration with Bayer Crop Science, KissanAI, and the Extension Foundation, AI AgriBench aims to build confidence in question-answering systems for digital crop production.
In collaboration with National Taiwan University, CDA is hosted a free joint seminar series focused on "Global Perspectives on Digital/Smart Agriculture." All recordings are now available for viewing!
CropWizard is an interactive question-answering and decision-support service powered by generative AI designed for agricultural professionals in the U.S. It consults an extensive knowledge base of agricultural technical documents to answer crop-related inquiries. CropWizard can accept text and image prompts and provides textual responses.
The U of I offers the first 100% online Master’s Degree in Engineering and professional certificates programs in Digital Ag.
These programs are an interdisciplinary effort between CDA, College of ACES, and The Grainger College of Engineering.
CDA Director John Reid joined a panel of experts in June to report on “Catalyzing U.S. AgTech Innovation: Opportunities for the Federal Government” at a Congressional briefing supported by representative Nikki Budzinski (IL-13).
Mohamad Alipour, CDA affiliate and U. of I. professor, joined WCIA’s Amanda Brennan in the studio to talk about a CDA-PRI-funded research project using drones to help farmers.
Learn more about Kyeaira Faustin's experience in the CDA REU program in this article written by the College of ACES at the U. of I.
Attending SRI 2025? Check out this list of CDA/AIFARMS-related activities happening at SRI 2025.
We’re helping researchers, educators, farmers, and industries keep pace with the ways technology is transforming how we feed and support a growing global population.
We’re researching everything from the nature of the data itself—its collection, storage, transmission, and analysis—to how the data might be used to optimize areas from precision agriculture to food manufacturing to water use and treatment.