Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review

N. L. Bento, G. Ferraz, L. S. Santana, Mirian de Lourdes Oliveira e Silva
{"title":"Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review","authors":"N. L. Bento, G. Ferraz, L. S. Santana, Mirian de Lourdes Oliveira e Silva","doi":"10.3390/agriengineering5040151","DOIUrl":null,"url":null,"abstract":"Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing to improved sampling, measurements, and operational efficiency, ultimately leading to increased profitability in crop production. This technology is becoming a reality in coffee farming, an essential commodity in the global economic balance, mainly due to academic attention and applicability. This study presents a bibliometric analysis focused on using RPASs in coffee farming to structure the existing academic literature and reveal trends and insights into the research topic. For this purpose, searches were conducted over the last 20 years (2002 to 2022) in the Web of Science and Scopus scientific databases. Subsequently, bibliometric analysis was applied using Biblioshiny for Bibliometrix software in R (version 2022.07.1), with emphasis on the temporal evolution of research on the topic, performance analysis highlighting key publications, journals, researchers, institutions, countries, and the scientific mapping of co-authorship, keywords, and future trends/possibilities. The results revealed 42 publications on the topic, with the pioneering studies being the most cited. Brazilian researchers and institutions (Federal University of Lavras) have a strong presence in publications on the subject and in journals focusing on technological applications. As future trends and possibilities, the employment of technology optimizes the productivity and profitability studies of coffee farming for the timely and efficient application of aerial imaging.","PeriodicalId":7846,"journal":{"name":"AgriEngineering","volume":"39 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AgriEngineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/agriengineering5040151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing to improved sampling, measurements, and operational efficiency, ultimately leading to increased profitability in crop production. This technology is becoming a reality in coffee farming, an essential commodity in the global economic balance, mainly due to academic attention and applicability. This study presents a bibliometric analysis focused on using RPASs in coffee farming to structure the existing academic literature and reveal trends and insights into the research topic. For this purpose, searches were conducted over the last 20 years (2002 to 2022) in the Web of Science and Scopus scientific databases. Subsequently, bibliometric analysis was applied using Biblioshiny for Bibliometrix software in R (version 2022.07.1), with emphasis on the temporal evolution of research on the topic, performance analysis highlighting key publications, journals, researchers, institutions, countries, and the scientific mapping of co-authorship, keywords, and future trends/possibilities. The results revealed 42 publications on the topic, with the pioneering studies being the most cited. Brazilian researchers and institutions (Federal University of Lavras) have a strong presence in publications on the subject and in journals focusing on technological applications. As future trends and possibilities, the employment of technology optimizes the productivity and profitability studies of coffee farming for the timely and efficient application of aerial imaging.
利用遥控飞机系统种植咖啡:文献计量学评论
近几十年来,遥控飞机系统(RPAS)的地位日益突出,这主要是由于它们在各个经济领域的广泛应用。在农业领域,遥控飞机系统可以优化流程,提高采样、测量和作业效率,最终提高作物生产的盈利能力。咖啡种植业是全球经济平衡中不可或缺的商品,这项技术正在成为现实,这主要归功于学术界的关注和适用性。本研究对咖啡种植中的遥感技术进行了文献计量分析,以构建现有学术文献的结构,揭示研究课题的趋势和见解。为此,我们在 Web of Science 和 Scopus 科学数据库中对过去 20 年(2002 年至 2022 年)的文献进行了检索。随后,使用 R 中的 Biblioshiny for Bibliometrix 软件(2022.07.1 版)进行了文献计量分析,重点是该主题研究的时间演变,突出重点出版物、期刊、研究人员、机构、国家的绩效分析,以及共同作者、关键词和未来趋势/可能性的科学映射。结果显示,有 42 篇关于该主题的出版物,其中先驱性研究的引用率最高。巴西的研究人员和机构(拉夫拉斯联邦大学)在有关该主题的出版物和侧重于技术应用的期刊中占有重要地位。作为未来的趋势和可能性,技术的应用优化了咖啡种植的生产率和收益率研究,从而及时有效地应用航空成像技术。
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 求助全文
来源期刊
CiteScore
4.70
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信