Qing Tang, Ruirui Zhang, Liping Chen, Pan Zhang, Longlong Li, Gang Xu, Tongchuan Yi, Andrew Hewitt
{"title":"Improving UASS pesticide application: optimizing and validating drift and deposition simulations","authors":"Qing Tang, Ruirui Zhang, Liping Chen, Pan Zhang, Longlong Li, Gang Xu, Tongchuan Yi, Andrew Hewitt","doi":"10.1002/ps.8412","DOIUrl":null,"url":null,"abstract":"As unmanned aerial spraying systems (UASS) usage grows rapidly worldwide, a critical research study was conducted to optimize the simulation of UASS applications, aiming to enhance pesticide delivery efficiency and reduce environmental impact. The study examined several key aspects for accurate simulation of UASS application with lattice Boltzmann method (LBM). Based on these discussions, the most suitable grid size and simulation parameters were selected to create a robust model for optimizing UASS performance in various pest management scenarios, potentially leading to more targeted and sustainable pest control practices.","PeriodicalId":218,"journal":{"name":"Pest Management Science","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pest Management Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/ps.8412","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
As unmanned aerial spraying systems (UASS) usage grows rapidly worldwide, a critical research study was conducted to optimize the simulation of UASS applications, aiming to enhance pesticide delivery efficiency and reduce environmental impact. The study examined several key aspects for accurate simulation of UASS application with lattice Boltzmann method (LBM). Based on these discussions, the most suitable grid size and simulation parameters were selected to create a robust model for optimizing UASS performance in various pest management scenarios, potentially leading to more targeted and sustainable pest control practices.
期刊介绍：
Pest Management Science is the international journal of research and development in crop protection and pest control. Since its launch in 1970, the journal has become the premier forum for papers on the discovery, application, and impact on the environment of products and strategies designed for pest management.
Published for SCI by John Wiley & Sons Ltd.
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