Next Article in Journal
Disturbance-Observer-Based Fixed-Time Backstepping Control for Quadrotors with Input Saturation and Actuator Failure
Next Article in Special Issue
Smart Irrigation Enhancement Through UAV-Based Clustering and Wireless Charging in Wireless Sensor Networks
Previous Article in Journal
Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms
Previous Article in Special Issue
Quantity Monitor Based on Differential Weighing Sensors for Storage Tank of Agricultural UAV
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System

1
United States Department of Agriculture, Aerial Application Technology Research Unit, College Station, TX 77845, USA
2
Syngenta Crop Protection, LLC, Greensboro, NC 27409, USA
3
Waterborne Environmental Inc., Leesburg, VA 20175, USA
*
Author to whom correspondence should be addressed.
Drones 2025, 9(1), 66; https://doi.org/10.3390/drones9010066
Submission received: 29 October 2024 / Revised: 8 January 2025 / Accepted: 9 January 2025 / Published: 16 January 2025
(This article belongs to the Special Issue Drones in Sustainable Agriculture)

Abstract

The phenomenal growth of remotely piloted aerial application systems (RPAASs) in recent years has raised questions about their impact on the off-target movement of plant protection products. The spray droplet spectrum is one of the important determining factors that govern droplet trajectories and off-target movement of pesticide particles. A field study was conducted to compare in-swath and downwind spray deposition on ground samplers from a 20 L RPAAS platform, equipped with three different nozzles, which provided fine, medium, and extra-coarse droplet spectra. A fluorescent dye was used as a tracer to determine spray deposition. Airborne spray droplets were measured at 10 and 20 m downwind. Downwind deposition measured on ground samplers showed that the extra-coarse nozzle received significantly fewer deposits than the medium or the fine nozzle. Similarly, the airborne deposition for the extra-coarse nozzle was significantly less compared to either the fine or the medium nozzle. Linear mixed effects modeling confirmed these results and showed that wind speed served as a covariate by refining the deposition differences among nozzles. Results indicated that spray drift from RPAAS platforms may be mitigated by using appropriate nozzles that produce larger droplet spectra. These results will provide aerial applicators with a better understanding of the best management practices to mitigate drift.
Keywords: UAS; UAV; RPAAS; spray drone; deposition; spray drift UAS; UAV; RPAAS; spray drone; deposition; spray drift

Share and Cite

MDPI and ACS Style

Martin, D.E.; Perine, J.W.; Grant, S.; Abi-Akar, F.; Henry, J.L.; Latheef, M.A. Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System. Drones 2025, 9, 66. https://doi.org/10.3390/drones9010066

AMA Style

Martin DE, Perine JW, Grant S, Abi-Akar F, Henry JL, Latheef MA. Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System. Drones. 2025; 9(1):66. https://doi.org/10.3390/drones9010066

Chicago/Turabian Style

Martin, Daniel E., Jeffrey W. Perine, Shanique Grant, Farah Abi-Akar, Jerri Lynn Henry, and Mohamed A. Latheef. 2025. "Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System" Drones 9, no. 1: 66. https://doi.org/10.3390/drones9010066

APA Style

Martin, D. E., Perine, J. W., Grant, S., Abi-Akar, F., Henry, J. L., & Latheef, M. A. (2025). Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System. Drones, 9(1), 66. https://doi.org/10.3390/drones9010066

Article Metrics

Back to TopTop