2021
Evaluating UAV (drone) Use for Within Season Management Decisions in NC Soybeans
Category:
Sustainable Production
Keywords:
Data ManagementDrone/UAS
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Rob Austin, North Carolina State University
Co-Principal Investigators:
Project Code:
21-033
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Drones are transforming how aerial imagery is captured and used. This interdisciplinary project investigates the use of drones in five key production areas: re-plant decisions, incidence of fungal disease, severity of insect-related defoliation, weed identification and management and nutrient deficiencies. Efforts evaluate common commercial drone technology to document baseline potential for decision support in soybean. This research aims to identify the most promising and profitable uses for drone technology in soybean production, evaluate tradeoffs between satellite and drone imagery in guiding farm-scale decisions, test the use of commercially available drone technology to differentiate between soybean stress and evaluate the use of drone imagery in re-plant decisions and stand counts.

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.