无人机农林业应用全球研究态势分析

doi:10.12133/j.smartag.2021.3.3.202107-SA006

Smart Agriculture ›› 2021, Vol. 3 ›› Issue (3): 22-37.doi: 10.12133/j.smartag.2021.3.3.202107-SA006

• 专题--智能植保机械与施药技术 • 上一篇下一篇

无人机农林业应用全球研究态势分析

陈梅香^1,^2,³(), 张瑞瑞^1,^2,³, 陈立平^1,^2,³(), 唐青^1,^2,³, 夏浪^1,^2,³

^1.国家农业智能装备工程技术研究中心，北京 100097
^2.北京市农林科学院智能装备技术研究中心，北京 100097
^3.国家农业航空应用技术国际联合研究中心，北京 100097

收稿日期:2021-07-16 修回日期:2021-09-07 出版日期:2021-09-30
基金项目:
国家自然科学基金(31971581);北京市农林科学院创新能力建设专项(KJCX20200206);北京市农林科学院创新能力建设专项(KJCX20200432)
作者简介:陈梅香（1971－），女，博士，副研究员，研究方向为病虫害自动监测与防控。E-mail：chenmx@nercita.org.cn。
通信作者: 陈立平（1973－），女，博士，研究员，研究方向为农林业智能装备技术。电话：010-51503425。E-mail：chenlp@ nercita.org.cn

Investigation on Advances of Unmanned Aerial Vehicle Application Research in Agriculture and Forestry

CHEN Meixiang^1,^2,³(), ZHANG Ruirui^1,^2,³, CHEN Liping^1,^2,³(), TANG Qing^1,^2,³, XIA Lang^1,^2,³

^1.National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
^2.Research Center for Intelligent Equipment, BAAFS, Beijing 100097, China
^3.National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China

Received:2021-07-16 Revised:2021-09-07 Online:2021-09-30
Foundation items:National Natural Science Foundation of China(31971581);Beijing Academy of Agriculture and Forestry Innovation Capability Construction Special Project (KJCX20200206); Beijing Academy of Agriculture and Forestry Innovation Capability Construction Special Project (KJCX20200432)
About author:CHEN Meixiang, E-mail：chenmx@nercita.org.cn
Corresponding author:CHEN Liping, E-mail：chenlp@ nercita.org.cn

摘要/Abstract

摘要：

无人机具有作业效率高、地形适应性好等独特优势，近年在农林业中应用范围不断扩大，相关研究成果数量呈快速上升式发展。为掌握无人机农林应用全球研究态势，本研究采集2011—2020年期间Web of Science 核心合集数据库中无人机农林应用全球研究相关文献数据，利用VOSviewer等统计软件对文献进行科学计量分析。分析结果表明，自2017年开始，无人机农林业应用研究发文数量快速增加，全球已有94个国家/地区、1778个机构开展了研究；发文量排名前三位的国家依次是美国、中国和澳大利亚，表明这三个国家从事无人机农林业应用的科研实力强，学术影响力大；共有398种期刊发表了有关无人机农林业应用研究文章，约占全部收录期刊的1.90%，说明更多的期刊开始关注无人机农林业应用研究；发文最多的期刊是由MDPI主办的Remote Sensing；被引次数最多的文章内容主要是关注无人机系统在摄影测量和遥感上的传感、导航、定位和通用数据处理等的研究现状。此外，对无人机农林业应用研究热点进行分析发现，无人机施药、无人机病虫害遥感、植物表型获取是无人机农林业应用的主要研究热点。本研究可为无人机在农林业上的创新研究、科研团队之间的合作提供参考。

关键词: 无人机, Web of Science, 文献计量, VOSviewer, 研究态势, 遥感, 植物表型

Abstract:

Unmanned Aerial Vehicle(UAV) application in agriculture and forestry has the unique advantages of high efficiency, water and pesticide saving, and strong adaptability to complex terrain. The application research of UAV in agriculture and forestry has shown a fast growing trend. In order to explore the research hotspots and the scientific impact of countries/regions and institutions on UAV application in agriculture and forestry, the relevant literatures in the Web of Science(WoS) core collection database (2011-2020) were collected. The bibliometrics analysis was performed on the journal articles of UAV application in agriculture and forestry based on VOSviewer, WoS analysis tools and Microsoft Excel. The analysis results showed that the number of published papers increased rapidly since 2017, the researches on UAV application in agriculture and forestry were carried out in 94 countries/regions, including1778 institutions. Due to the strong scientific research group in the application of UAV in agriculture and forestry of the United States, China and Australia, a large number of papers had been published, resulting in a great academic influence. Remote sensing was the most widely used technology field of UAV application in agriculture and forestry, mainly involving remote sensing technology, ecological environment science, image processing technology, geological science, etc. Engineering was an important technical field of UAV application in agriculture and forestry, mainly involving control technology, sensor technology and fluid computing modeling technology related to UAV aerial pesticide application.There were 1508 articles and reviews been published in 398 journals, about 1.90% of all journals included in WoS core collection database, indicating that more and more journals paid attention to the application research of UAV in agriculture and forestry. Remote Sensing sponsored by MDPI (Multidisciplinary Digital Publishing Institute) was the journal that published the most of papers, the most cited paper mainly focused on the research status of UAV system in photogrammetry and remote sensing, including sensing, navigation, positioning and general data processing, etc. In addition, the analysis of the research hotspots of UAV application in agriculture and forestry showed that UAV pesticide application, UAV remote sensing of diseases and pests, plant phenotype acquisition were the research hotspots. This study can provide references for innovation research and cooperation between research teams of UAV application in agriculture and forestry.

Key words: UAV, Web of Science, bibliometrics, VOSviewer, research situation, remote sensing, plant phenotype

中图分类号:

S252

陈梅香, 张瑞瑞, 陈立平, 唐青, 夏浪. 无人机农林业应用全球研究态势分析[J]. 智慧农业(中英文), 2021, 3(3): 22-37.

CHEN Meixiang, ZHANG Ruirui, CHEN Liping, TANG Qing, XIA Lang. Investigation on Advances of Unmanned Aerial Vehicle Application Research in Agriculture and Forestry[J]. Smart Agriculture, 2021, 3(3): 22-37.

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无人机农林业应用全球研究态势分析

Investigation on Advances of Unmanned Aerial Vehicle Application Research in Agriculture and Forestry

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