湖北农业科学 ›› 2023, Vol. 62 ›› Issue (12): 178-187.doi: 10.14088/j.cnki.issn0439-8114.2023.12.032

• 信息工程 • 上一篇    下一篇

基于CiteSpace的数字农业国际研究热点与趋势分析

王越晗1, 夏煜2   

  1. 1.武汉晴川学院北斗学院,武汉 430204;
    2.长江科学院空间信息技术应用研究所,武汉 430010
  • 收稿日期:2022-04-06 发布日期:2024-01-10
  • 作者简介:王越晗(1990-),男,湖北武汉人,硕士,主要从事农业经济理论研究,(电话)18771999022(电子信箱)389244824@qq.com。
  • 基金资助:
    “十三五”国家重点研发计划课题项目(2019YFC0408805)

International research hotspots and trends analysis of digital agriculture based on CiteSpace

WANG Yue-han1, XIA Yu2   

  1. 1. Beidou College,Wuhan Qingchuan University,Wuhan 430204,China;
    2. Institute of Spatial Information Technology Application, Changjiang River Scientific Research Institute,Wuhan 430010,China
  • Received:2022-04-06 Published:2024-01-10

摘要: 以2004—2022年Web of Science核心数据库中592篇文献为样本,采用CiteSpace文献计量软件,可视化分析数字农业国际研究热点和趋势。结果表明,数字农业国际研究呈持续增长趋势,在经历了理论探索期、稳定发展期后正处于迅猛暴发期;国际研究集中于数字农业的理论、方法、政策、实践应用等方面,而其主要阵地依然是以美国为首的欧美发达国家,虽然中国发文量较多,但国际学术影响力有待提升;研究热点从数字农业较关注的大数据、人工智能对数字农业的影响逐渐转向数字农业技术的创新、数字农业物联网设备的性能、数字农业供应链平台搭建与维护等方面;数字农业研究的前沿包括大数据分析技术与GIS技术结合处理农业监测数据、农业科技创新促进农业绿色发展以及人工智能方法支持农业决策系统等。此外,对数字农业发展中存在的问题进行了梳理,并展望了数字农业发展的前景。

关键词: 数字农业, 可视化分析, 国际, 研究热点, 研究前沿, 趋势, CiteSpace

Abstract: Using 592 articles from the Web of Science core database from 2004 to 2022 as samples, the CiteSpace bibliometric software was used to visually analyze international research hotspots and trends in digital agriculture. The results indicated that the international research on digital agriculture was showing a sustained growth trend, and after experiencing a period of theoretical exploration and stable development, it was in a period of rapid outbreak;international research focused on the theory, methods, policies, and practical applications of digital agriculture, while its main focus was still on developed countries in Europe and America, led by the United States. Although China had a large number of publications, its international academic influence needed to be improved;the research focus had shifted from the focus on big data and the impact of artificial intelligence on digital agriculture, to the innovation of digital agriculture technology, the performance of digital agriculture IoT devices, and the construction and maintenance of digital agriculture supply chain platforms;the forefront of digital agriculture research included the combination of big data analysis technology and GIS technology to process agricultural monitoring data, agricultural technological innovation to promote green development of agriculture, and artificial intelligence methods to support agricultural decision-making systems. In addition, the problems existing in the development of digital agriculture were sorted out, and the prospects for the development of digital agriculture were looked forward to.

Key words: digital agriculture, visual analysis, international, research hotspots, research frontiers, trends, CiteSpace

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