2016
Integrated research & education program for use of remote sensing and UAV's for enhanced soybean production
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
ExtensionIndustry outreach
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Matthew Darr, Iowa State University
Co-Principal Investigators:
Randall Pearson, Southern Illinois University
Project Code:
450-46-09
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The growth in availability and quality of commercial aerial imagery suppliers and UAVs provide producers with a source of high resolution, in-season imagery with the promise of in-season decision tools. Several fundamental research questions exist related to both the use of single point imagery and multiple images throughout the growing season, including timing, frequency, resolution, consistency, accuracy, type of imagery and more. This project aims to quantify the influence of timing of imagery collection on the ability to detect soybean stresses and management problems and the repeatability and calibration requirements for comparisons. It also intends to determine spatial accuracy and develop recommendations for best management practices.

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.