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农业信息技术研究态势可视化分析 被引量:3

Visual Analysis of Research Trends of Agricultural Information Technology
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摘要 信息化的发展程度已经成为决定农业现代化水平的重要标志。新一代信息技术正在全球范围内引发新一轮科技革命,加快与现代农业深度融合。基于Web of Science核心合集数据库,采用专业数据分析工具DDA和VOSviewer引用分析功能,重点分析了国内外农业信息化领域近10年发展态势和技术热点。研究表明,全球和中国农业信息技术论文数量均呈现出整体增长态势,近3年加快增长;国际上影响力较强的机构主要有美国农业部农业研究院、荷兰瓦赫宁根大学、法国国家农业研究院等;技术方面,遥感技术和农业通信技术研究最多,遥感技术和信息化设备联系更为紧密;从新兴趋势看,人工智能趋势明显,分类算法、深度学习、卷积神经网络、随机树分类器等作为新兴技术热点应该引起重点关注。基于此,未来中国推动农业信息技术发展应着眼全球,借鉴国际经验,与高水平机构加强国际合作,引领农业信息科技创新。 The degree of informatization has become an important symbol to determine the level of agricultural modernization.The new generation of information technology is triggering a new round of scientific and technological revolution around the world and accelerating the deep integration with modern agriculture.Based on the core collection database of Web of Science,the research trends and technical hotspots in the field of agricultural informatization at home and abroad in recent ten years were analyzed by using professional data analysis tools DDA and VOSviewer.The research showed that the number of agricultural information technology papers in the world and China shows an overall growth trend,and has accelerated in recent three years;institutions with strong international influence mainly include the Agricultural Research Service of the U.S.Department of Agriculture,Wageningen University in the Netherland,French National Agricultural Research Institute,etc.;in the field of technology,remote sensing and agricultural communication are the most studied,and remote sensing technology is more closely related to agricultural production information equipment;from the perspective of emerging trends,the trend of artificial intelligence is obvious,classification algorithms,deepening learning,convolutional neural networks,random tree classifiers,UAVs and other emerging technology hotspots should be the focus of attention.Based on this,in the future,improving the development of agricultural information technology in China needs to focus on the global development of agricultural information technology,learn from international experience,strengthen international cooperation with high-level institutions and solve the key technical problems.
作者 李灯华 许世卫 李干琼 Li Denghua;Xu Shiwei;Li Ganqiong(Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Key Laboratory of A gricultural Monitoring and Early Warning,Ministry of Agriculture and Rural Affairs,Beijing Research Center of Agricultural Monitoring and Early Warning Engineering Technology,Beijing 100081)
出处 《农业展望》 2022年第2期73-86,共14页 Agricultural Outlook
基金 中国农业科学院科技创新工程项目(CAAS-ASTIP-2021-AII-01) 中国科协“青年人才托举工程项目”(2019QNRC001)。
关键词 农业信息技术 文献计量 发展态势 新兴趋势 农业大数据 智能农业 可视化 agricultural information technology bibliometrics development trend emerging trends agricultural big data intelligent agriculture visualization
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