人工智能在乳制品加工领域应用趋势可视化分析

Visualization Analysis of the Application Trend of Artificial Intelligence in the Dairy Product Processing Field

摘要:

为把握乳制品与人工智能结合研究的前沿进展，探究乳制品行业未来技术发展方向，本研究利用CiteSpace对Web of Science核心合集中关于人工智能与乳制品加工领域的文献进行可视化，识别研究热点、知识基础与前沿趋势。研究采用文献计量学分析(发文量分析、合作网络分析、共被引分析、关键词共现与关键词突现分析)。研究发现566篇论文中，中、美、印为发文前三的国家；机器学习、深度学习、计算机视觉、光谱技术和“质量安全”构成核心知识群；最强突现词“traceability”预示研究正从局部工艺优化走向全链条数字化溯源。该领域已形成“感知-决策-溯源”闭环技术体系；中国亟待通过强化国际合作参与标准制定，将数据资源转化为产业竞争力和标准制定话语权，从而推动乳业高质量发展。

Abstract:

In order to capture the cutting-edge progress in the research on the integration of dairy products and artificial intelligence, and explore the future technological development direction of the dairy industry, this study employed CiteSpace for a visual analysis of the literature on artificial intelligence and dairy processing in the Web of Science Core Collection, thereby identifying research hotspots, knowledge bases, and frontier trends. The research adopted bibliometric analysis, including publication volume analysis, co-authorship network analysis, cocitation analysis, keyword co-occurrence analysis, and keyword burst analysis. The study found that among the 566 papers, China, the United States, and India ranked the top three in terms of publication volume; machine learning, deep learning, computer vision, spectral technology, and "quality and safety" formed the core knowledge clusters; the strongest burst word "traceability" indicated that the research was shifting from local process optimization to full-chain digital traceability. A closed-loop technical system of "perception-decision-makingtraceability" has been established in this field. China needs to strengthen international cooperation and standard formulation, convert data resources into industrial competitiveness and discourse power in standard formulation,and promote the high-quality development of the dairy industry.