By Jamie Martin
Artificial intelligence (AI) is rapidly transforming agriculture by improving the development and use of agrichemicals. However, experts warn that reduced funding and limited data access may hinder progress.
Speaking to a House subcommittee, scientists and industry leaders highlighted how AI is being used to design better pesticides and optimize application.
At Corteva Agriscience, AI models now map pest proteins in seconds—a task that once took months—leading to more precise and effective crop protection products.
Brian Lutz of Corteva explained, “We might think of crop protection molecules as ‘keys,’ and those ‘keys’ are intended to fit very specific targets in pests—usually proteins.”
Universities have been central to this research. Yet, proposed federal budget cuts could slow innovation. Daniel Swale of the University of Florida stressed that, “A commitment in fundamental science by the federal government is critical for the US to remain at the leading edge of innovation.”
AI is also reducing the environmental impact of agrichemicals. In Illinois, AI models helped detect soybean diseases in satellite images, allowing targeted fungicide use.
However, climate data removals and cuts to the National Science Foundation’s budget could reduce access to essential tools. Without solid data, AI models that guide farmers could stop working.
Rep. Gabe Amo warned, “No algorithm is better than the data that it runs on.”
Experts also urged the Environmental Protection Agency to speed up chemical approvals. But Rep. Zoe Lofgren raised health concerns, linking chemical use to cancer clusters in farming areas. Corteva officials assured safety protocols are in place.
Photo Credit: gettyimages-shotbydave
Categories: National