2016
Large-scale drift assessment with aerial imagery and ground-based spectral reflectance
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Contributor/Checkoff:
Mississippi Soybean Promotion Board
Category:
Sustainable Production
Keywords:
AgricultureCrop protectionHerbicide
Parent Project:
Large-scale drift assessment with aerial imagery and ground-based spectral reflectance
Lead Principal Investigator:
Daniel B Reynolds, Mississippi State University
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Mississippi Soybean Promotion Board
(n/a)
Institution Funded:
Mississippi State University
(n/a)
Brief Project Summary:

This project involves evaluating the effect of drift reduction technologies on off-target soybean injury with dicamba. It assesses use of aerial imagery and ground-based spectral reflectance methods for mapping drift injury on large landscapes and develops a pictorial guide for rating dicamba injury.

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.