Project Details:

sUAS Mapping and Spraying of Glyphosate Resistant Weed Escapes

Parent Project: This is the first year of this project.
Checkoff Organization:Ohio Soybean Council
Categories:Technology, Weed control
Organization Project Code:
Project Year:2022
Lead Principal Investigator:Scott A. Shearer (The Ohio State University)
Co-Principal Investigators:

Contributing Organizations

Funding Institutions

Information and Results

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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.

Performance Metrics

Project Years