2021
Evaluating Drone for Cover Crop Seeding and Pesticide Applications
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Data ManagementDrone/UAS
Lead Principal Investigator:
Andrew Kness, University of Maryland
Co-Principal Investigators:
Project Code:
21063220
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
With the rapid advancement of drone technology, the possibility of aerial pesticide applications with drones is now realistic, especially in small, fragmented fields where using ground equipment is challenging. This project partners with a commercial drone applicator and local farmers to evaluate spray coverage and cover crop establishment flown on standing soybeans using a drone applicator. It aims to collect data to understand spray coverage and efficacy from drones. Efforts include evaluating the efficacy of foliar, drone-applied fungicides, determining parameters for improved spray coverage and evaluating coverage and determining cover crop establishment from drone compared to helicopter.
Key Beneficiaries:
#agronomists, #drone applicators, #Extension agents, #farmers
Unique Keywords:
#ag technology, #cover crop seeding, #drones, #fungicide, #spray coverage, #technology, #uavs
Information And Results
Project Summary

We propose partnering with a commercial drone applicator and local farmers to; 1) evaluate spray coverage achieved with drone application in soybean; 2) evaluate cover crop establishment flown on standing soybeans using a drone applicator on cooperating local farms. Results from this project will be published in several forms to disseminate the information to both growers and peers in academia (objective 3). This proposal is for the first second year of this study (2021) and builds upon data we collected in 2020.

Project Objectives

1. Determine parameters for improved spray coverage.
2. Determine cover crop establishment.
3. Publish and disseminate results.

Project Deliverables

Results from this project will be shared with farmers and clientele in various educational outputs, such as: newsletters, meetings, and the possibility of field days and workshops. Results and data will be published and shared in peer-reviewed journal and professional conferences.

Progress Of Work

Update:
We are scheduled to coordinate the drone application spray and cover crop work with Kirk Floyd of K Drone Services in August when corn and soybean are in reproductive stages. Spray applications will be made with modifications in order to achieve greater spray coverage based off of what we learned from this project last season. A radish cover crop is scheduled to be seeded in a farmer field in August and we will use this field to collect cover crop establishment data. We are also in the process of coordinating a side-by-side comparison trail of cover crop seeding with a drone and a plane/helicopter.

Data from this project was recently presented at the National Association of County Agricultural Agents annual meeting and was a National finalist for excellence in applied research.

Data from this project was recently shared with over 25 individuals during the LEAD Maryland leadership development seminar in June. Additional data and demonstrations are scheduled to be shared with growers during the soybean field day at the Wye REC on August 11.

Final Project Results

Update:
See attached documents. Information from this project has also been shared with approximately 350 participants at 3 winter Extension meetings, as well as fellow University colleagues during two national scholarly presentations.

View uploaded report PDF file

View uploaded report 2 PDF file

Benefit To Soybean Farmers

Soybeans are grown on significant acreage in every county in Maryland; however, production in several Maryland counties (and throughout the northeast) is on smaller, fragmented fields. These small, often irregularly-shaped fields, can make it a challenge for farmers to apply necessary crop protection products (such as herbicides and fungicides) with modern ground spray equipment; and aerial applications with helicopters or airplanes may not be suitable for every field as a result of size, shape, topography, and/or proximity to field edge vegetation or buildings.

With the rapid advancement of drone technology, the possibility of aerial pesticide applications with drones is now realistic, and as a result, drone applicator companies are popping up and offering this commercial pesticide application service to farmers. However, there are several unanswered questions with this new method of application and there is very little research regarding spray coverage and efficacy from drone applications. Likewise, even less is known about the efficacy of aerial seeding cover crops into standing soybeans using drones. A literature review of the subject returns only a handful of references, indicating that very little research has been conducted. The studies that have investigated using drones as sprayers focus on the engineering and physical constraints of drones (lift capacity, battery life, GPS, user interface, etc.) and not as much on the agronomic issues, such as spray coverage or their practical application in row crop agriculture1-5.

This project aims at collecting data to start to answer some of these questions. We propose partnering with a commercial drone applicator and local farmers to; 1) evaluate spray coverage achieved with drone application in soybean; 2) evaluate cover crop establishment flown on standing soybeans using a drone applicator on cooperating local farms. Results from this project will be published in several forms to disseminate the information to both growers and peers in academia (objective 3). This proposal is for the second year of this study (2021), building on preliminary data that we collected in 2020.

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.