2020
sUAS Weed Mapping in Soybeans
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Contributor/Checkoff:
Ohio Soybean Council
Category:
Sustainable Production
Keywords:
AgricultureCrop protectionHerbicide
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Scott A. Shearer, The Ohio State University
Co-Principal Investigators:
Project Code:
20-R-11
Contributing Organization (Checkoff):
Ohio Soybean Council
$50,000
Institution Funded:
The Ohio State University
$50,000
Brief Project Summary:

This project helps growers identify and map herbicide-resistant weed escapes using small UAS as a precursor for targeted eradication. Weed escapes simply refers to weeds that survive weed management practices. Most weed species produce prolific seed. It’s easier to control weed escapes before they build the soil seed bank. The effort includes building a reference library of herbicide-resistant weed escapes that occur in Ohio soybeans, training Convolutional Neural Nets for sematic segmentation of NADIR imagery generated from fixed wing sUAS overflights, using this technology to map weed escapes and developing methodology for real-time classification of images on-board of the sUAS. The project also includes field tests.

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.