Research Brief: Satellites and AI could help farmers detect soybean aphid infestations
January 8, 2024
"This breakthrough shows the value of multidisciplinary research,” said David Mulla, Department of Soil, Water and Climate.
Satellite-based remote sensing allows us to see much more than we can see when standing on the ground. New research from the University of Minnesota found, when combined with artificial intelligence, remote sensing could dramatically improve management of soybean aphid, an invasive pest that negatively impacts soybean yield and quality. Read the full brief.
This research was funded by the Minnesota Invasive Terrestrial Plants and Pests Center, supported by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources.
Features multidisciplinary work across the Departments of Entomology; Soil, Water and Climate; Forest Resources; and partners.
