Feedstuffs (Bloomington, Minn., Jan. 4) – Illinois researchers are attempting to bridge two types of computational crop models to become more reliable predictors of crop production in the U.S. Corn Belt. “One class of crop models is agronomy based, and the other is embedded in climate models or Earth system models. They are developed for different purposes and applied at different scales,” says Kaiyu Guan, an environmental scientist at Illinois and the principal investigator of the research.
