基于CiteSpace的我国智慧农业研究可视化分析

采用传统文献计量方法和知识图谱软件CiteSpace,对中国知网中近十三年智慧农业领域的研究文献进行分析,厘清我国智慧农业研究的进程、热点和走向。研究结果显示:近十三年期间,我国年刊发智慧农业方面的文献在总体上呈现稳步增加的态势,并在2020年达到峰值,论文质量也显著提高,这表明我国智慧农业研究和应用正处于快速发展阶段。关键词聚类效果较好,共生成13个聚类。有9个关键词频次超过50,这些关键词可视为我国智慧农业研究领域的热点。“乡村振兴”“数字乡村”“智能农机”和“无人机”等仍在持续的突现词既代表该领域当前的研究热点,也将成为未来的研究方向。

Using traditional bibliometric methods and knowledge graph software CiteSpace,the research literatures in the field of smart agriculture in the past 13 years in CNKI were analyzed to clarify the process,hotspots and trends of smart agriculture research in China.The research results show that:In the past 13 years,the number of papers on smart agriculture published in China's annual journals has increased steadily,and will reach a new high in 2020;and the quality of papers has also improved significantly,which indicates that the research and application of smart agriculture in China is in the stage of rapid development;the result of keywords clustering is good,and 13 clusters are generated.There are 9 keywords with frequency over 50;these keywords can be regarded as hotspots in the field of smart agriculture research in China;the ongoing emerging words,such as"rural revitalization""digital village""smart agricultural machine"and"unmanned aerial vehicle",not only represent current research hotspots in this field,but also will become the trend of research in the future.