首页|基于CNKI的我国无人机防控松材线虫病趋势研究

基于CNKI的我国无人机防控松材线虫病趋势研究

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分析了当前我国在无人机技术应用于松材线虫病防控领域的研究现状及未来发展趋势。依托中国最大的学术文献数据库CNKI(中国知网数据库),运用文献计量学的科学分析方法,进行详尽的数据挖掘和文献综述。此次研究的时间跨度为2012年1月至2024年4月,共筛选了122篇与无人机在松材线虫病防控领域应用紧密相关的文献,并从文献数量、发表年份、关键词、研究机构、被引次数、学科分类和期刊种类等多个层面进行分析。结果表明:从文献数量的变化来看,随着无人机技术的快速发展和普及,近年来关于无人机在该领域应用的研究呈现出逐年递增的趋势。然而,从总体数量上来看,相较于其他成熟的研究领域,我国在该领域的研究仍处于发展初期,具有较大的研究潜力和发展空间。从研究方向的角度来看,当前的研究主要集中在松材线虫病的监测方面,借助无人机的高空、远程、快速等优势,实现对疫区的实时监控和数据分析。然而在无人机防治松材线虫病方面,目前的研究相对较少,这既反映了当前研究的局限性,也为未来的研究指明了方向。指出了在今后的研究中,一方面应充分利用人工智能(AI)等先进技术,对无人机在松材线虫病监测方面的算法及模型进行优化和升级,不断提高监测的准确度和效率。另一方面,还应加大在无人机防治松材线虫病方面的研究力度,探索无人机在飞防、除治效果评价等方面的应用,以期在松材线虫病防控的全过程中,最大限度地发挥无人机的技术优势。
Research on the Trend of Pine Wilt Disease Control by UAV in China Based on CNKI
The current research status and future development trends of UAV technology applied in the field of pine wilt disease prevention and control in China are comprehensively understood and analyzed.Based on the lar-gest academic literature database in China-CNKI(China National Knowledge Infrastructure),a detailed data mining and literature review was conducted by using the scientific analysis methods of bibliometrics.The time span of this study was from January 2012 to April 2024.A total of 122 articles closely related to the application of UAV in the field of pine wilt disease prevention and control were screened,and analyzed from multiple levels such as literature quantity,publication year,keywords,research institution,citation frequency,disciplinary classifica-tion,and journal types.The results show that from the changes in the number of literatures,with the rapid devel-opment and popularization of UAV technology,research on the application of drones in this field has shown an in-creasing trend year by year in recent years.However,in terms of quantity,compared with other mature research fields,China's research in this field is still in its early stages of development,with great research potential and de-velopment space.From the perspective of research direction,current research mainly focuses on the monitoring of pine wilt disease and utilizing the advantages of UAV such as high altitude,long distance and fast speed of UAV to achieve real-time monitoring and data analysis of epidemic areas.However,there is relatively little research on UAV control of pine wilt disease,which not only reflects the limitations of current research but also points out the direction for future research.In future research,on the one hand,advanced technologies such as artificial intelli-gence(AI)should be fully utilized to optimize and upgrade the algorithms and models of UAV in monitoring pine wilt disease,continuously improving the accuracy and effiiciency of monitoring.On the other hand,research ef-forts in UVA control of pine wilt disease should be increased.The application of UVA in flight prevention,treat-ment effect evaluation,and other aspects should be explored,in order to maximize the technological advantages of UVA in the entire process of pine wilt disease prevention and control.

CNKIpine wilt diseaseUAVbibliometric analysis

高振东

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重庆市巴南区南泉林场,重庆 400054

CNKI 松材线虫病 无人机 文献计量分析

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(15)