Engineers, geneticists, agronomists, system modelers and machine-learning experts at Iowa State University and the University of Nebraska-Lincoln are working on an innovation that promises to sustainably boost corn and soybean yields. Once complete, the new CPS (cyber-physical system) will constantly monitor fields at near single-plant resolution, predict productivity and help farmers manage their water and fertilizer use.
After decades of growing corn and soybeans across the Midwest, crop yields are approaching their theoretical limits. But there’s still a need for more grain to feed people and livestock.
Engineers, geneticists, agronomists, system modelers and machine-learning experts at Iowa State University and the University of Nebraska-Lincoln think they might have a solution. They are combining their electronics, computing and crop expertise to develop a new CPS (cyber-physical system) that will constantly monitor fields at near single-plant resolution, predict productivity and help farmers manage their water and fertilizer use.
