农业数字孪生概念内涵、技术框架与应用进展

THE CONCEPTUAL CONNOTATION,TECHNICAL FRAMEWORK, AND APPLICATION PROGRESS OF AGRICULTURAL DIGITAL TWIN

关键词:  农业数字孪生  文献计量  智慧农业  虚拟现实  技术应用

Key words:  agricultural digital twin  bibliometrics  smart agriculture  virtual reality  technical application

摘要:

目的 通过分析国内外文献，阐明数字孪生技术在农业领域的研究热点和应用进展，为我国农业数字孪生领域研究提供未来发展方向参考。方法 文章采用文献计量以及关键词聚类分析，梳理和归纳：农业数字孪生研究的热点方向、技术框架、应用场景和服务类别。结果 （1）农业数字孪生具有良好的发展前景，整体发文量呈现上升趋势，且2020年以后发表数量大幅增加；（2）农业数字孪生系统主要是通过物联网、人工智能、机器学习等技术，结合农业生产不同应用场景对系统进行构建，从而对智能农业系统进行可视化、数字化管理；（3）数字孪生技术在农业领域的主要应用场景为农产品、农业机械、灌溉等农业种植场景以及食品供应链等农业副业，其提供的服务类别侧重对农业场景的实时监控和效果检测。结论 将数字孪生技术应用到农业领域对于提高农产品质量，实现农业资源整合与优化，进而促进智慧农业发展具有重要意义。鉴于此，未来需更加关注农业数字孪生理论基础和系统框架的构建和完善，同时深入探索多技术集成与多模型融合，以此有效推进农业数字化的发展。

Abstract:

By analyzing the existing literature, this study aims to clarify the research hotspots and application progress of digital twin technology in the field of agriculture, and provide future directions for the field of agricultural digital twin in China. By using bibliometric and keyword clustering analysis, we summarized the research hotspots, technical frameworks, application scenarios, and service categories of agricultural digital twins. The results showed that: (1) Agricultural digital twin exhibited promising prospects, and the overall publications showed an upward trend, with a significant increase after the year 2020; (2) Combining with different application scenarios in agriculture production, agricultural digital twin system was primarily built by using technologies such as the Internet of Things, artificial intelligence, and machine learning, enabling the visualization and digitization of intelligent agricultural system management; (3) The main application scenarios of digital twin technology in the agricultural field were agricultural planting scenarios, such as agricultural products, agricultural machinery, irrigation, and agricultural sideline industries, such as food supply chain. And the service categories it provided focused on real-time monitoring and effect detection of agricultural scenarios. In summary, applying digital twin technology to the agricultural field is of great significance for improving the quality of agricultural products, integrating and optimizing agricultural resources, and further promoting the development of smart agriculture. In the future, greater emphasis should be placed on developing and enhancing the theoretical foundation and system framework of agricultural digital twins. Additionally, a more in-depth exploration of multi-technology integration and multi-model fusion is essential to effectively advance the development of agricultural digitization.