sUAS Mapping and Spraying of Glyphosate Resistant Weed Escapes
Sustainable Production
Data ManagementDrone/UAS
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:
Contributing Organization (Checkoff):
Institution Funded:
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 Beneficiaries:
#agronomists, #extension agents, #farmers
Unique Keywords:
#drones, #technology, #uavs, #UAVs, #weed control, #weed resistance, #weeds
Information And Results
Project Summary

Researchers have developed a protocol for image capture using sUAS, subsequent image classification using artificial intelligence tools, and then creating weed escape maps for directed spraying. This continuing series of interrelated projects will demonstrate a comprehensive solution for end-to-end automation of controlling glyphosate resistant weed escapes in row crop production.

Project Objectives

- Generate Weed Escape Maps
- Translate “Weed Escape” Map to AgroSol Application Mission Plans
- Evaluate sUAS Spray Application for Eradication of “Weed Escapes”

Project Deliverables

Progress Of Work

Final Project Results

Benefit To Soybean Farmers

sUAS application technology represents a new tool for managing “weed escapes” via targeted spot spraying. Mission plans generated for “weed escape” maps will allow the sUAS applicator to fly the most efficient route to ensure timely treatment of problematic locations spot treat those areas of the field. We feel that treatment of “weed escapes” represents one of the most profitable options to drive sUAS application adoption in U.S. Midwestern Agriculture.

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.