摘要
无人机遥感技术作为现代农业技术的重要分支,在农业的各个方向中发挥着越来越重要的作用。为深入探究无人机遥感技术在农业中的研究和应用热点及前沿,利用CiteSpace软件和知识图谱分析方法,以中国知网(CNKI)为数据源,为提高数据可信度,文献类别仅使用北京大学图书馆所认定的《中文核心期刊要目总览》,经筛选后,获取相关文献828篇,对无人机遥感技术在农业领域的研究文献进行发文时间、作者、发文机构、关键词共现、关键词时序分析及高突显值关键词分析,并且对当前研究的热点进行分析。研究结果表明,该领域的研究热点是以机器视觉、目标检测、深度学习等人工智能处理数据的方法同无人机遥感相结合。该文期望通过数据分析,为未来我国无人机遥感在农业中的研究提供一定的借鉴。
As an important branch of modern agricultural technology,UAV remote sensing technology is playing a more and more important role in all directions of agriculture.In order to further explore the hot spots and frontiers of the research and application of UAV remote sensing technology in agriculture,using CiteSpace software and knowledge graph analysis method,taking China National Knowledge Infrastructure(CNKI)as the data source,and in order to improve the credibility of the data,the literature category only uses the"Overview of Chinese Core Journals"recognized by the Peking University Library.In this paper,the research literature of UAV remote sensing technology in the field of agriculture is analyzed,including publishing time,author,sending organization,keyword co-occurrence,keyword time series analysis and high salient keyword analysis,and the current research hotspots are analyzed.The research results show that the research hotspot in this field is the combination of artificial intelligence data processing methods such as machine vision,target detection and deep learning with UAV remote sensing.Through data analysis,this paper expects to provide some reference for the future research of UAV remote sensing in agriculture in China.
出处
《智慧农业导刊》
2024年第11期6-10,15,共6页
JOURNAL OF SMART AGRICULTURE
基金
农业农村部光谱检测重点实验室开放基金课题资助(2023ZJUGP001)。
