摘要
为了揭示全球人工智能(artificial intelligence,AI)在畜牧业领域的研究轨迹与发展特征,试验采用文献计量学方法,利用可视化分析软件CiteSpace,对2015—2025年中国知网(CNKI)和Web of Science(WOS)数据库中的2233篇文献构建机构共现网络与关键词共现网络,进行关键词聚类与突现等分析。结果表明:研究规模呈爆发式增长,预测2025年底文献总量为2015年的18.26倍,年均复合增长率达39.63%,国际合作较国内合作更为紧密;技术发展路径从单点算法突破经多模态感知融合,演进至系统级驱动的智能监测与养殖管理;研究存在物种、技术及伦理维度上的显著不均衡,奶牛研究占主导,猪、禽研究较少;国际研究注重基础技术与生产性能的系统整合,我国则集中于机器视觉等单点应用;动物福利在国际研究中受高度重视,而在我国研究中未形成聚类。说明AI技术在畜牧业领域的研究发展迅速,但结构性失衡,未来应加强跨领域协同并重视伦理维度。
To reveal the global research trajectory and developmental characteristics of artificial intelligence(AI)in animal husbandry,this study employed bibliometric methods combined with visualization and analysis software CiteSpace to analyze 2233 publications retrieved from the China National Knowledge Infrastructure(CNKI)and Web of Science(WOS)databases spanning 2015—2025.Institution co-occurrence and keyword co-occurrence networks were constructed,accompanied by keyword clustering and burst detection analysis.The results indicated that the research scale had experienced explosive growth,with the total number of publications projected to reach 18.26 times the 2015 level by the end of 2025,representing an average annual growth rate of 39.63%.International research collaborations were significantly closer than domestic cooperations.The technological evolution had followed a development path from single-point algorithmic breakthroughs,through multi-modal perception fusion,to system-level driven intelligent monitoring and farming management.Significant imbalances were identified in species coverage,technological emphasis,and ethical considerations;research on dairy cattle was dominant,while studies on pigs and poultry were limited.International research emphasized the systematic integration of foundational technologies with production performance,whereas domestic efforts concentrated on isolated applications such as machine vision.Animal welfare had been highly emphasized in international studies but failed to form a cluster in Chinese research.These findings suggested that while AI research in animal husbandry was developing rapidly,it exhibited notable structural imbalances,calling for enhanced cross-disciplinary collaboration and greater attention to ethical aspects in the future.
作者
崔凯元
洪一峰
李阳
李可
刘向华
CUI Kaiyuan;HONG Yifeng;LI Yang;LI Ke;LIU Xianghua(School of Economics and Management,Henan Agricultural University,Zhengzhou 450002,China;College of Animal Science,South China Agricultural University,Guangzhou 510642,China;Trade Union of Henan Agricultural University,Zhengzhou 450002,China)
出处
《黑龙江畜牧兽医》
北大核心
2025年第12期166-173,共8页
Heilongjiang Animal Science And veterinary Medicine
基金
国家自然科学基金青年科学基金项目(42001261)
2022年度河南省高等学校哲学社会科学应用研究重大项目(2022-YYZD-08)。
关键词
AI技术
畜牧业
文献计量
可视化分析
研究热点
知识图谱
AI technologies
livestock farming
bibliometrics
visualization analysis
research hotspots
knowledge graph
