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基于科学知识图谱的智慧农业研究演进趋势分析
引用本文:雷泉龙,宫小飞.基于科学知识图谱的智慧农业研究演进趋势分析[J].科技促进发展,2022,18(7):872-881.
作者姓名:雷泉龙  宫小飞
基金项目:年山东省社会科学规划专项一般项目(编号:20CSDJ61):“大数据+网格化”赋能公共卫生事件治理精准化研究,负责人:雷泉龙。
摘    要:智慧农业是农业农村从数字化阶段向智能化阶段发展的更高级形式,是农业农村现代化发展的大势所趋,对促进农业、农村数字经济转型,有效推动乡村全面振兴战略具有重大现实意义。本研究借助科学知识图谱软件Cite-Space5.7.R5对2000~2021年期间我国智慧农业研究领域的相关文献进行了可视化定量分析,分析其发展趋势和研究热点,以知识图谱的形式清晰直观展现给读者。分析表明,自2015年我国智慧农业发展迅猛,以乡村振兴战略为主旨,聚焦数字化驱动数字乡村建设,持续推动农业、农村现代化发展。本研究在新兴农业科技应用、新型农业科技人才培养、智慧农业基础设施建设、数字化要素驱动智慧农业发展等方面提出了建议,以期为智慧农业领域的进一步研究提供有益参考。

关 键 词:智慧农业  文献产出  研究热点  图谱可视化  科学知识图谱
收稿时间:2021/6/22 0:00:00
修稿时间:2022/2/9 0:00:00

Analysis on the Evolution Trend of Smart Agriculture Research Based on Scientific Knowledge Atlas
LEI Quanlong and GONG Xiaofei.Analysis on the Evolution Trend of Smart Agriculture Research Based on Scientific Knowledge Atlas[J].Science & Technology for Development,2022,18(7):872-881.
Authors:LEI Quanlong and GONG Xiaofei
Abstract:Smart agriculture is a more advanced form of agricultural and rural development from the digital stage to the intelligent stage, and it is of great significance to promoting the transformation of agricultural and rural digital economy and implementing the rural revitalization strategy. This study used the scientific knowledge map software Cite-Space5.7.R5 to visualize and quantitatively analyze the relevant literature in the field of smart agriculture research from 2000 to 2021, and analyze its development trend and research. Hotspots were clearly and intuitively displayed to readers in the form of knowledge graphs. Since 2015, China''s smart agriculture has developed rapidly, focusing on the rural revitalization strategy, focusing on digitalization to drive the construction of digital villages, and continuing to promote the modernization of agriculture and rural areas. This article puts forward suggestions from the application of emerging agricultural science and technology, the training of new agricultural science and technology talents, the construction of smart agricultural infrastructure, and the development of smart agriculture driven by digital elements, in order to provide useful references for further research in the field of smart agriculture.
Keywords:smart agriculture  literature output  research hotspots  graph visualization  scientific knowledge atlas
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