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Analysis of Agrometeorological Hazard Based on Knowledge Graph

Author

Listed:
  • Di Wu

    (College of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Xuemei Liu

    (College of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Songmei Zai

    (Henan Key Laboratory of Water-Saving Agriculture, Zhengzhou 450046, China
    College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Liang Zhang

    (College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Xuefang Feng

    (Henan Key Laboratory of Water-Saving Agriculture, Zhengzhou 450046, China
    College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

Agrometeorological hazards significantly impact agricultural production and rural economic development. The interdisciplinary nature of studying these hazards poses challenges such as poor data interoperability in research. This paper proposes a method for analyzing agrometeorological hazards using knowledge graphs to understand occurrence patterns and devise response strategies. The study involves classifying agricultural and meteorological knowledge and designing a hazard entity model based on the characteristics and influencing factors of agrometeorological hazards. Data mining and extraction techniques are used to extract relevant information from multiple sources, and a knowledge graph for knowledge fusion and storage is built. The retrieval and inference capabilities of the knowledge graphs are used to intelligently analyze agrometeorological hazards. Results indicate that analyzing agrometeorological hazards using knowledge graphs is an innovative method that offers new perspectives and ideas for agricultural meteorological hazard research, thereby promoting the sustainable development of agricultural production and the stable growth of the rural economy.

Suggested Citation

  • Di Wu & Xuemei Liu & Songmei Zai & Liang Zhang & Xuefang Feng, 2024. "Analysis of Agrometeorological Hazard Based on Knowledge Graph," Agriculture, MDPI, vol. 14(7), pages 1-14, July.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1130-:d:1433973
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    References listed on IDEAS

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    1. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
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