This project’s sensing strategy facilitates improved scouting effectiveness and accuracy at a reduced cost. The key innovative component of the research is to sense within the soybean canopy to identify crop stressors and to reduce yield loss. The project continues preliminary work on the Soybean Intra-Canopy Imaging Stringer Suspended Crop Health Sensing system, builds a reference library of crop heal problems in soybeans, develops computational process and algorithms for soybean crop health classification and conducts commercial-scale field testing.
Key Benefactors:
farmers, agronomists, extension agents