Literature DB >> 31248581

Assessment of spray drift potential reduction for hollow-cone nozzles: Part 1. Classification using indirect methods.

Xavier Torrent1, Eduard Gregorio2, Jean-Paul Douzals3, Cyril Tinet3, Joan R Rosell-Polo2, Santiago Planas4.   

Abstract

Spray drift is one of the main pollution sources identified when pesticides are sprayed on crops. In this work, in order to simplify the evaluation of hollow-cone nozzles according to their drift potential reduction, several models commonly used were tested by three indirect methods: phase Doppler particle analyser (PDPA) and two different wind tunnels. The main aim of this study is then to classify for the first time these hollow-cone nozzle models all of them used in tree crop spraying (3D crops). A comparison between these indirect methods to assess their suitability and to provide guidelines for a spray drift classification of hollow-cone nozzles was carried out. The results show that, in general terms, all methods allow hollow-cone nozzle classifications according to their drift potential reduction (DPR) with a similar trend. Among all the parameters determined with the PDPA, the V100 parameter performed best in differentiating the tested nozzles among drift reduction classes. In the wind tunnel, similar values were obtained for both sedimenting and airborne drift depositions. The V100 parameter displayed a high correlation (up to R2 = 0.948) with the drift potential tested with the wind tunnel. It is concluded that in general, the evaluated indirect methods provide equivalent classification results. Additional studies with a greater variety of nozzle types are required to achieve a proposal of harmonized methodology for testing hollow-cone nozzles.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Drift; Drift potential; Droplet size; Nozzle classification; Pesticide; Spray

Year:  2019        PMID: 31248581     DOI: 10.1016/j.scitotenv.2019.06.121

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Spray drift evaluation with point clouds data of 3D LiDAR as a potential alternative to the sampling method.

Authors:  Longlong Li; Ruirui Zhang; Liping Chen; Boqin Liu; Linhuan Zhang; Qing Tang; Chenchen Ding; Zhen Zhang; Andrew J Hewitt
Journal:  Front Plant Sci       Date:  2022-07-18       Impact factor: 6.627

Review 2.  Opportunities and Possibilities of Developing an Advanced Precision Spraying System for Tree Fruits.

Authors:  Md Sultan Mahmud; Azlan Zahid; Long He; Phillip Martin
Journal:  Sensors (Basel)       Date:  2021-05-08       Impact factor: 3.576

  2 in total

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