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Journal of Library and Information Science in Agriculture ›› 2021, Vol. 33 ›› Issue (9): 48-63.doi: 10.13998/j.cnki.issn1002-1248.20-1180

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An Analysis of Global Smart Agriculture Research Situation

REN Ni, GUO Ting, SUN Yiwei, DAI Hongjun, ZHANG Chengcheng   

  1. Information Center of Jiangsu Academy of Agriculture Sciences, Nanjing 210014
  • Received:2020-12-31 Online:2021-09-05 Published:2021-09-28

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Abstract: [Purpose/Significance] By analyzing the research situation of global smart agriculture, this paper aims to provide data reference and information support for scientific and technological innovation and management decision-making in the field of smart agriculture in China. [Method/Process] Based on the Web of Science database, this paper makes an in-depth analysis and visualization display of the global smart agriculture research overview, research group competitiveness, research focus and hot spots by using the methods of bibliometrics and knowledge mapping. [Results/Conclusions] Smart agriculture has drawn increasing interest among researchers both in and outside of China since 2010. The productivity and influence of China and the United States are far ahead of those of other countries in the world. The productivity and influence of China Agricultural University, Zhejiang University and the United States Department of Agriculture have obvious advantages. HE Y, JAYAS D S, and BLASCO J have higher productivity and influence, but the quality of papers of Chinese institutions and scholars is generally not rated as high. Agronomy, computer science, engineering, food science and technology, and chemistry are the key disciplines. Computers and Electronics in Agriculture is the most competitive journal. The global and China's smart agriculture can be divided into three research topics, but the research focus is different; the agricultural Internet of things as a representative of information perception, analysis and control technology is a research hotspot in recent years; agricultural sensor independent research and development, data mining analysis and sharing technology model, smart control algorithm model and system integration, smart agricultural machinery equipment and agriculture autonomous research and development of robots and smart agricultural science and technology service mode are the key research directions for further development of smart agriculture in China.

Key words: smart agriculture, bibliometrics, knowledge map, competitiveness, research focus

CLC Number: 

  • G350
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