Precision Agriculture

Novel robotics and sensors, such as small uninhabited aerial vehicles (UAV), have the potential to revolutionize the agriculture industry. Spatially precise and temporally relevant data enable improved agricultural production with reduced environmental impacts through data driven decision making. One case study critical to the Midwest will be explored; detection of soybean aphid infestations and precision pesticide application. Algorithms that detect soybean aphid infestations will be researched as well as the efficacy, economic impact and policy related to widespread adoption of UAV enhanced precision agriculture.

Principal Investigator: Demoz Gebre-Egziabher , Aerospace Engineering

Co-Investigators: Demoz Gebre-Egziabher, Peter Seiler, Brian Taylor, John Weyrauch, Aerospace Engineering; Terrance Hurley, Applied Economics; Robert Koch; Ian McRae, Entomology; Dean Malvick, Plant Pathology