2020
Development of UAV Technologies for Soybean and Small Grain Crops
Category:
Sustainable Production
Keywords:
Data ManagementDrone/UAS
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Randy Price, Dean Lee Research Station, Louisiana State University
Co-Principal Investigators:
Boyd Padgett, Louisiana State University
Sebe Brown, Louisiana State University AgCenter
David Moseley, University of Arkansas
+2 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Interest continues to grow in using drones as a scouting tool. However, the cost of drone packages and custom software for agriculture can be a barrier for many farmers. This research aims to learn if lower-cost drones can meet the scouting notes of most farmers. Ag-specific drones often take pictures using near-infrared cameras, converting images to maps showing the normalized difference vegetative index. These maps show plant health based on known plant health indicators. In contrast, lower-cost drones use cameras that take standard pictures in normal light, red, green and blue. This work indicates that using basic software to process RGB images to show the green band minus the red band leads to results as good as NDVI images.

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.