2019
Drone Image Assessment to Improve Variable Rate Irrigation
Home
Contributor/Checkoff:
Alabama Soybean Producers
Category:
Sustainable Production
Keywords:
SustainabilityWater resistanceWater supply
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Thorsten Knappenberger, Auburn University
Co-Principal Investigators:
Brenda Ortiz, Auburn University
Joey Shaw, Auburn University
+1 More
Project Code:
Contributing Organization (Checkoff):
Alabama Soybean Producers
$8,500
Institution Funded:
Auburn University
$8,500
Brief Project Summary:

Drones equipped with cameras have been shown to improve irrigation and fertilization management to improve efficient production strategies. However, minimal work has been done in Alabama. This project analyzes remote sensing data spatially and temporarily to more fully assess irrigation and fertilization effects on yields. The goals are to improve and develop production strategies utilizing remote sensing data from drones. Data should assess how biomass estimated from RGB images relates to yield, if thermal data — canopy temperature — is linked to plant stress and yield loss, and which vegetation indices derived from multispectral camera data is a surrogate of plant stress, pathogens or yield.

Key Benefactors:
farmers, agronomists, Extension agents

Information And Results
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.