Use of remotely piloted aircraft systems in monitoring pest and diseases in agricultural crops: global literature review

IF 0.6 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Acta Scientiarum-technology Pub Date : 2023-04-28 DOI:10.4025/actascitechnol.v45i1.61034
F. Eugenio, Filipe Rocha Louzada Soares, Jaine Honorato Oliveira da Silva, Régis Ruoso, R. Fantinel
{"title":"Use of remotely piloted aircraft systems in monitoring pest and diseases in agricultural crops: global literature review","authors":"F. Eugenio, Filipe Rocha Louzada Soares, Jaine Honorato Oliveira da Silva, Régis Ruoso, R. Fantinel","doi":"10.4025/actascitechnol.v45i1.61034","DOIUrl":null,"url":null,"abstract":"The use of Remotely Piloted Aircraft Systems (RPAS) as Remote Sensing platforms has been gaining more and more applicability in various fields of study, one of them being the agricultural sector. The interest in this technology segment is mainly due to its flexibility to acquire high-resolution data quickly. Data that helps, for example, identify and monitor pests and diseases. Therefore, this work aims to develop a systematic analysis at a global level to assess the evolution of publications over the years and the current state of the art in the use of RPAS technology in monitoring pests and diseases in crops. Twenty-nine scientific articles came from the Web of Science, Scopus, and Google Scholar platforms, identifying the places of origin of publications, agricultural species, platforms, and sensors. China and the United States published most of the works. Multirotor platforms have been more used compared to fixed-wing platforms. RGB (Red, Green, and Blue) and Multispectral sensors totaled 25% and 40.44%, respectively. It is expected that technological advances and RPAS improvement increasingly strengthened the control of pests and diseases in crops, contributing to a greater appreciation of the benefits of this system.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"23 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Scientiarum-technology","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.4025/actascitechnol.v45i1.61034","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The use of Remotely Piloted Aircraft Systems (RPAS) as Remote Sensing platforms has been gaining more and more applicability in various fields of study, one of them being the agricultural sector. The interest in this technology segment is mainly due to its flexibility to acquire high-resolution data quickly. Data that helps, for example, identify and monitor pests and diseases. Therefore, this work aims to develop a systematic analysis at a global level to assess the evolution of publications over the years and the current state of the art in the use of RPAS technology in monitoring pests and diseases in crops. Twenty-nine scientific articles came from the Web of Science, Scopus, and Google Scholar platforms, identifying the places of origin of publications, agricultural species, platforms, and sensors. China and the United States published most of the works. Multirotor platforms have been more used compared to fixed-wing platforms. RGB (Red, Green, and Blue) and Multispectral sensors totaled 25% and 40.44%, respectively. It is expected that technological advances and RPAS improvement increasingly strengthened the control of pests and diseases in crops, contributing to a greater appreciation of the benefits of this system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
遥控飞机系统在农作物病虫害监测中的应用:全球文献综述
使用遥控飞机系统(RPAS)作为遥感平台在各个研究领域得到越来越多的应用,其中之一是农业部门。对这一技术领域的兴趣主要是由于其快速获取高分辨率数据的灵活性。例如,有助于识别和监测病虫害的数据。因此,这项工作的目的是在全球一级进行系统分析,以评估多年来出版物的演变和利用RPAS技术监测作物病虫害的最新状况。29篇科学文章来自Web of Science、Scopus和Google Scholar平台,确定了出版物的原产地、农业物种、平台和传感器。中国和美国出版了大部分作品。与固定翼平台相比,多旋翼平台的应用越来越广泛。RGB (Red, Green, and Blue)和多光谱传感器占比分别为25%和40.44%。预期技术的进步和区域农业系统的改进日益加强了对作物病虫害的控制,从而使人们更加认识到该系统的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta Scientiarum-technology
Acta Scientiarum-technology 综合性期刊-综合性期刊
CiteScore
1.40
自引率
12.50%
发文量
60
审稿时长
6-12 weeks
期刊介绍: The journal publishes original articles in all areas of Technology, including: Engineerings, Physics, Chemistry, Mathematics, Statistics, Geosciences and Computation Sciences. To establish the public inscription of knowledge and its preservation; To publish results of research comprising ideas and new scientific suggestions; To publicize worldwide information and knowledge produced by the scientific community; To speech the process of scientific communication in Technology.
期刊最新文献
Numerical Integration of locally Peaked Bivariate Functions Synthesis and characterization of a new ruthenium (II) terpyridyl diphosphine complex Pesticide residues detected in Colossoma macropomum by the modified QuEChERS and GC-MS/MS methods Relationship between the rainfall index for Southern Brazil and the indexes of the Tropical Pacific and the Tropical Atlantic Oceans DNA Release from Polyaziridine Polyplexes Aided by Biomacromolecules: Effect of pH
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1