基于文献计量学的农作物病虫害识别研究进展分析

doi:10.12190/j.issn.2096-1197.2023.04.15

摘要/Abstract

摘要：

【目的】掌握农作物病虫害识别的研究进展。【方法】以Web of Science（WOS）和中国知网（CNKI）数据库农作物病虫害识别文献为数据源，采用统计分析和文献计量法，从文献发文量、发文国家、发文机构、研究学者和研究热点的角度，分析2000—2022年农作物病虫害识别领域的研究情况。【结果】检索得到农作物病虫害识别相关英文文献2 214篇，2014年以后发文量持续增加，2014—2022年的发文量占总发文量的85.0%；检索得到中文文献2 390篇，2000—2012年发文量稳步增长，2013年后波动较大但总体呈上升趋势。中国、美国占农作物病虫害识别研究总发文量的41.3%；在合作交流上，中国与美国及一些亚洲国家、欧洲国家的研究合作都较为密切。英文文献发文量最高的发文机构为中国科学院（90篇），中文文献发文量最高的发文机构为全国农业技术推广服务中心（47篇）。HUANG Wenjiang（黄文江）在国内和国际上都有显著的研究成果（45篇）。国外农作物病虫害识别领域的主要研究热点为识别模型的建立和数据获取；国内研究热点先后经历了由人工识别到专家系统，再到模型优化的转变。【结论】目前国内外农作物病虫害识别研究势头依然强劲，研究重点各有侧重；国外在模型优化、数据获取方法上有较为成熟的研究体系，但仍能挖掘出很大发展空间；国内智能化识别研究起步较晚但发展较快，未来深度学习新算法的应用可能成为农作物病虫害识别领域新的研究热点。

关键词: 农作物, 病虫害识别, 文献计量学, 研究进展

Abstract:

【Objective】To grasp the research progress on crop pests and diseases identification.【Methods】Using the literature on crop pests and diseases identification from Web of Science（WOS） and China National Knowledge Infrastructure（CNKI）databases as data sources，statistical analysis and bibliometric methods were used to analyze the research situation in the field of crop pests and diseases identification during 2000 to 2022 from the perspectives of literature publication volume，publication country，publication institution，research scholars，and research hotspots.【Results】2 214 English literature related to crop pests and diseases identification were retrieved. Since 2014，the publication volume increased continuously. The publication volume during 2014 to 2022 accounted for 85.0% of the total publication volume. 2 390 Chinese literature were retrieved，with a steady increase in publication volume from 2000 to 2012. After 2013，despite large fluctuations，there was an overall upward trend.China and the United States accounted for 41.3% of the total publication volume on crop pests and diseases identification research.In terms of collaboration and communication，China had close research collaboration with the United States and some Asian and European countries. The Chinese Academy of Sciences（90 publications） had the highest English literature publication volume，while the National Agricultural Technology Promotion Service Center（47 publications）had the highest Chinese literature publication volume.HUANG Wenjiang had significant research results both domestically and internationally（45 publications）. The main international research hotspots in the field of crop pests and diseases identification were the establishment of identification models and data acquisition.Domestic research hotspots underwent a transformation from manual recognition through expert systems to model optimization.【Conclusion】The current research momentum on crop pests and diseases identification domestically and internationally are still strong，with different research focuses.Intentionally，the research systems in model optimization and data acquisition methods are relatively mature. But there are still huge developmental potentials that can be excavated. Domestically，the research on intelligent recognition started relatively late but developed rapidly. In the future，the application of deep learning new algorithms may become a new research hotspot in the field of crop pets and diseases identification.

Key words: Crop, Pests and diseases identification, Bibliometrics, Research progress

中图分类号:

金青婷, 黄红星, 江顺. 基于文献计量学的农作物病虫害识别研究进展分析[J]. 北方农业学报, 2023, 51(4): 122-134.

JIN Qingting, HUANG Hongxing, JIANG Shun. Analysis of the research progress on crop pests and diseases identification based on Bibliometrics[J]. Journal of Northern Agriculture, 2023, 51(4): 122-134.

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