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Research on Topic Mining and Evolution Trends of Functional Agriculture Based on the BERTopic Model

Author

Listed:
  • Qiao Lin

    (Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Zhulin Xin

    (Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    National Science Library (Wuhan), Chinese Academy of Sciences, Wuhan 430071, China
    These authors contributed equally to this work.)

  • Shuang Peng

    (Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Ruixue Zhao

    (Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Integration Publishing Knowledge Mining and Knowledge Service, National Press and Publication Administration, Beijing 100081, China)

  • Yingli Nie

    (Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Youtao Chen

    (College of Agriculture, Anhui Science and Technology University, Chuzhou 239000, China)

  • Xuebin Yin

    (Institute of Functional Agriculture (Food) Science and Technology at Yangtze River Delta, Anhui Science and Technology University, Chuzhou 239000, China
    Anhui Province Key Laboratory of Functional Agriculture and Functional Food, Anhui Science and Technology University, Chuzhou 239000, China)

  • Guojian Xian

    (Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Qiang Zhang

    (College of Literature, Huaiyin Normal University, Huaian 223300, China)

Abstract

Based on the BERTopic model, this study analyzes 15,744 scientific papers in the field of functional agriculture from 1995 to 2024 to uncover core themes and evolutionary trends in global functional agriculture, and particularly focuses on revealing the developmental trajectory in China. The results indicate that global functional agriculture research is characterized by diverse themes and intensive study, forming a multi-topic cross-network centered on plant chemical extraction and agricultural soil research, with a focus on food nutrition, human health, and environmental protection. By contrast, China’s functional agriculture research demonstrates a more focused and in-depth approach, concentrating on functional food development and agricultural environmental protection themes, with notable growth trends in areas such as selenium-enriched products and resistant starch. Combined with China’s agricultural development environment, this study makes the following suggestions for the development of functional agriculture in China: (1) Promoting interdisciplinary cooperation between functional agriculture and other technologies. (2) Developing agricultural products with Chinese characteristics and forming Chinese functional agricultural product brands. (3) Utilizing smart farming technology to boost functional agriculture.

Suggested Citation

  • Qiao Lin & Zhulin Xin & Shuang Peng & Ruixue Zhao & Yingli Nie & Youtao Chen & Xuebin Yin & Guojian Xian & Qiang Zhang, 2024. "Research on Topic Mining and Evolution Trends of Functional Agriculture Based on the BERTopic Model," Agriculture, MDPI, vol. 14(10), pages 1-22, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1691-:d:1486900
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    References listed on IDEAS

    as
    1. Jeon, Eunji & Yoon, Naeun & Sohn, So Young, 2023. "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    2. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
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