2018
Image Analysis for Soybean Defoliation
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Contributor/Checkoff:
South Carolina Soybean Board
Category:
Sustainable Production
Keywords:
DiseaseField management Pest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Kendall Kirk, Clemson University
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
South Carolina Soybean Board
$1
Institution Funded:
Clemson University
$1
Brief Project Summary:

The current technique to estimate defoliation is to randomly remove 10 leaflets from the top, middle, and lower part of the canopy and visually determine the amount of defoliation. Soybean defoliation is typically overestimated; therefore, accurate estimation of defoliation will help save producers money, time, and protect the environment from unnecessary applications of insecticide. The goal of this research is to develop reliable and user-friendly software, website and methodology for accurately estimating soybean defoliation from RGB imagery taken in the field.

Key Benefactors:
farmers, agronomists, extension agents

Information And Results
Project Deliverables

Final Project Results

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.