2017
A Public-Private Partnership to Use Drone-acquired Metrics to Increase Accuracy of Yield Estimation in Multi-environment Yield Trials of Soybeans
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Field management Nutrient managementSoil healthTillageYield trials
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Katy M Rainey, Purdue University
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Researchers will collaborate with Beck's Hybrids to use drone-based canopy measurements to increase the yield estimation accuracy in Beck's soybean trials. Beck’s will focus on measuring canopy development in advanced lines that are being considered for sale as varieties. The research team will also explore development of custom seeding rates for soybean varieties based on canopy development so farmers can minimize plant populations. Specific objectives include testing the efficacy of image-based parameters acquired with drones to increase the yield estimation accuracy in multi-environment soybean yield trials; and using UAS imagery to develop methods to determine custom plant populations for all soybean varieties.

Key Benefactors:
farmers, ag retailers, agronomists, Extension specialists

Information And Results
Final Project Results

Update:

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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.