Imaging for Crop Stress Diagnosis in Soybeans
Sustainable Production
Field management Nutrient managementSoil healthTillageYield trials
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Scott Shearer, University of Kentucky
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

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

Information And Results
Final Project Results

See attached

View uploaded report Word file

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.