30年来基于计算机视觉的农业科技研究综述——以CNKI文献关键词词频分析为技术方法

A Review of the Agricultural Science and Technology Research Based on Computer Vision in the Past 30 Years——Take the Keyword Frequency Analysis on CNKI Literature as the Technical Method

[目的]计算机视觉技术被广泛应用于天文学、地质学、气象学、军事科学、医学、工农业生产等诸多领域,对我国农业科技及农业发展意义重大。[方法]以关键词词频分析为技术方法,筛选1993—2022年CNKI农业科技专辑中篇名含“计算机视觉”的文献,对获取的393条文献进行计量学分析,并综述国内30年来基于计算机视觉的农业科技研究成果、热点及发展态势。[结果]基于计算机视觉的农业科技研究高频关键词分布较为广泛,现有研究热点较多,研究领域、研究方法、研究技术等都在不断丰富和拓展。[结论]本研究可为后续农业科技方向的研究提供一定参考或借鉴,但还需不断探索基于计算机视觉的农业科技研究中的内在发展逻辑与深层理论关系。

[Objective]Computer vision technology is widely applied in many fields such as astronomy,geology,meteorology,military science,medicine,and industrial and agricultural production,and has important practical significance for China’s agricultural science and technology and agricultural development.[Method]Used keyword frequency analysis as a technical method to screen literature titled“Computer Vision”from CNKI Agricultural Science and Technology Albums from 1993 to 2022.A bibliometric analysis was conducted on 393 obtained literature,and the research achievements,hotspots,and development trends of computer vision based agricultural science and technology in China over the past 30 years were summarized.[Result]High frequency keywords in agricultural technology research based on computer vision are widely distributed,and there are many existing research hotspots.The research fields,methods and technologies are constantly enriching and expanding.[Conclusion]This study can provide some reference or inspiration for future research in agricultural technology,but it is still necessary to continuously explore the internal development logic and deep theoretical relationships in computer vision based agricultural technology research.