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With support from the National Science Foundation’s Convergence Accelerator, a Mason team is designing a CropSmart Digital Twin—a public-facing decision support system that provides the crop farming industry with real-time data and optimal decision advice. The team’s goal is to help increase U.S. agricultural production by 40 percent while also cutting the country’s environmental footprint in half by 2050. 

Liping Di, director of Mason’s , leads the multidisciplinary research team building scientific data modeling tools to take the guesswork out of crop management decisions. Di will work with researchers from the University of Nebraska–Lincoln, Kansas State University, Purdue University, University Corporation for Atmospheric Research, and Mississippi State University, as well as end users from the U.S. Department of Agriculture and farms in the Midwest.