Literature DB >> 31595645

Swath pattern analysis from a multi-rotor unmanned aerial vehicle configured for pesticide application.

Brian Richardson1, Carol A Rolando1, Chanatda Somchit1, Christina Dunker2, Tara M Strand2, Mark O Kimberley1.   

Abstract

BACKGROUND: Although unmanned aerial vehicles (UAVs) are increasingly used to deliver small-scale aerial pesticide applications, there remains uncertainty over their efficiency in terms of uniformity of spray deposition and their application efficiency. Consequently, a field study was designed to quantify factors influencing the uniformity of spray deposition from a multi-rotor UAV that is operated commercially in New Zealand. Two sampling systems for measuring spray deposition, a continuous horizontal string and steel plates placed on the ground were compared.
RESULTS: The spray deposit distribution characteristics and calculated lane separation values (distance between flight lines that produces a maximum coefficient of variation of 30% for spray deposits) were strongly influenced by wind speed, nozzle position, release height, ground speed and droplet size. Lane separation values ranged from 1 to > 5 m. Swath distribution parameters (spread and position of peak deposition) derived from plates were not significantly different from those derived from string. However, total deposition on strings relative to plates increased with small droplets. Reducing plate sampling intensity from 0.25 m intervals to 0.5 m and even 1.0 m had only a minor effect on estimates of swath parameter values.
CONCLUSIONS: The potential for precision spraying from UAV platforms has yet to be achieved with improvements required in hardware and software. Further, mechanistic models are needed to quantify how complex interactions among multiple operating and meteorological variables influence spray deposition.
© 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry.

Keywords:  aerial spraying; pesticides; spray deposition; swath pattern; unmanned aerial vehicle

Year:  2019        PMID: 31595645     DOI: 10.1002/ps.5638

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  2 in total

1.  Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis.

Authors:  Ming Ni; Hongjie Wang; Xudong Liu; Yilin Liao; Lin Fu; Qianqian Wu; Jiong Mu; Xiaoyan Chen; Jun Li
Journal:  Sensors (Basel)       Date:  2021-01-18       Impact factor: 3.576

Review 2.  Characteristics of unmanned aerial spraying systems and related spray drift: A review.

Authors:  Pengchao Chen; Jean Paul Douzals; Yubin Lan; Eric Cotteux; Xavier Delpuech; Guilhem Pouxviel; Yilong Zhan
Journal:  Front Plant Sci       Date:  2022-08-08       Impact factor: 6.627

  2 in total

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