2019
Assessing soybean injury from dicamba applications using multispectral imaging on a small UAV
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Contributor/Checkoff:
Mississippi Soybean Promotion Board
Category:
Sustainable Production
Keywords:
AgricultureCrop protectionHerbicide
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Yanbo Huang, USDA/ARS-Stoneville, MS
Co-Principal Investigators:
Project Code:
48-2019
Contributing Organization (Checkoff):
Mississippi Soybean Promotion Board
$13,200
Institution Funded:
Mississippi State University
$13,200
Brief Project Summary:

This project seekds to develop a UAV-based multispectral imaging system for assessing injury resulting from dicamba applied at different growth stages and rates to non-dicamba-tolerant soybeans. Rapid acquisition of data that can be used to determine/assess soybean yield losses resulting from dicamba application at different growth stages to non-tolerant varieties.

Key Benefactors:
farmers, agronomists, extension agents

Information And Results
Project Deliverables

Rapid acquisition of data that can be used to determine/assess soybean yield losses resulting
from dicamba application at different growth stages to non-tolerant varieties.

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.