2023
Effectiveness and Utility of Agricultural Drone Sprayers for Herbicide Applications to Improve Weed Management
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Drone/UASField management Sustainability
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Bryan Young, Purdue University
Co-Principal Investigators:
Project Code:
23-204-S-A-1-A
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
Our first goal is to optimize drone herbicide applications by conducting field research on important application factors and then translate that information into recommendations delivered through extension and industry channels. More specifically, our team will use field trials to investigate drone spray boom design/calibration, spray parameters (e.g. spray tips, droplet size, PSI, GPA), adjuvant requirements, weed size limitations, herbicide types (contact vs. systemic), and specific herbicide active and weed combinations. Our second goal is to document the variability in spray configurations used on commercial drones and the spray cloud created in terms of spray deposition and potential off-target movement. This will be accomplished by hosting a drone calibration spray clinic, similar to traditional aerial applicators, and provide the service those with proper certification, including industry, farmers, and extension personnel. Ultimately, this project would facilitate the potential adoption of drone herbicide applications for soybean farmers to realize more timely or efficient herbicide applications that are currently not possible with ground applications.
Information And Results
Project Summary

Project Objectives

Project Deliverables

Progress Of Work

Final Project Results

The goals of this project were to 1) optimize drone herbicide applications by conducting field research on important application factors and then translate that information into recommendations delivered through extension and industry channels, and 2) document the variability in spray configurations used on commercial drones and the spray cloud created in terms of spray deposition and potential off-target movement. Field research from 2023 highlighted an inconsistency in spray coverage across the spray swath with a drone herbicide application, and the importance on environmental conditions on the amount of spray coverage achieved. Increasing the spray carrier to 3 gallons per acre alleviated some of these spray coverage problems. Regardless of spray coverage, applications of Roundup and Liberty provided reasonable levels of weed control, but were variable. An extension publication on spray drone applications has been drafted and a calibration clinic field day for spray drones is planned for this project in 2024, along with continued field research on herbicide applications.

Benefit To Soybean Farmers

Drone application of pesticides continues to be a point of interest for either broadcast treatment, or site-specific areas with a pest infestation. In the first year of this project we conducted field research on herbicide efficacy from drone applications and identified spray application variables that should be examined by farmers, or their custom applicators, to improve herbicide applications. In addition. we have drafted an extension publication and presentation materials that provide a thorough review of spray drone features, capabilities, and considerations for farmers who are interested in using or hiring spray drones for herbicide applications. Ultimately, grower confidence in making decisions on how or when to use spray drones for herbicide applications can enhance weed management tactics implemented by soybean farmers.

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.