中国乳业 ›› 2025, Vol. 0 ›› Issue (6): 59-66.doi: 10.12377/1671-4393.25.06.10

• 饲养管理 • 上一篇    下一篇

人工智能与传感器技术在奶牛养殖业中的应用与挑战

李潘潘1, 王昌雷1, 李兴栋1, 杨萍2, 刘玉升3, 陶家树4,*   

  1. 1 郓城县农业农村局, 山东菏泽 274000;
    2 山东省农业科学院, 山东济南 250100;
    3 山东农业大学, 山东泰安 271018;
    4 山东省畜牧总站, 山东济南 250100
  • 出版日期:2025-06-25 发布日期:2025-07-04
  • 通讯作者: *陶家树,山东德州人,硕士,正高级畜牧师,研究方向为家禽育种及技术。
  • 作者简介:李潘潘（1987-）,男,山东金乡人,硕士,农艺师,研究方向为农业技术;王昌雷（1983-）,男,山东郓城人,本科,农艺师,研究方向为农业技术;李兴栋（1984-）,男,山东郓城人,大专,助理农艺师,研究方向为农业技术;杨萍（1980-）,女,山东济南人,博士,研究员,研究方向为农业农村经济;刘玉升（1964-）,男,山东莒南人,博士,教授,硕士生导师,研究方向为资源利用与植物保护。
  • 基金资助:
    山东省重点研发计划资助（2023LZGC018）

Application and Challenges of Artificial Intelligence and Sensor Technology in Dairy Cattle Farming

LI Panpan1, WANG Changlei1, LI Xingdong1, YANG Ping2, LIU Yusheng3, TAO Jiashu4,*   

  1. 1 Yuncheng County Agricultural and Rural Bureau, Heze Shandong 274000;
    2 Shandong Academy of Agricultural Sciences, Jinan Shandong 250100;
    3 Shandong Agricultural University, Tai'an Shandong 271018;
    4 Shandong Provincial Animal Husbandry Services, Jinan Shandong 250100
  • Online:2025-06-25 Published:2025-07-04

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摘要： 本文评估了人工智能（AI）与传感器技术在奶牛养殖业中的应用潜力,着重剖析物联网（IoT）在长途家畜运输中的创新应用,特别是在家畜识别与普查方面的进展。这些技术显著提升了运输过程中的精确可追溯性,尤其在监控奶牛行为模式和实时体重变化等方面成效显著。通过应用这些技术,不仅提升了动物福利、减少了供应链误差、提高了生产力,还推动了市场准入范围的扩大,进而增强了全球竞争力。然而,技术的推广面临个体化管理、经济分析、数据安全、隐私保护、技术适应性、人员培训以及可持续性等诸多挑战,且这些挑战与动物福利、数据滥用和环境影响等伦理议题紧密相关。本研究提出了技术整合的成功框架,并强调持续学习和适应的重要性。AI和传感器技术在推动奶牛养殖行业朝着更可持续、高效方向发展的潜力日益凸显。

关键词: 精准养殖, 智能农业, 数字化家畜管理, 动物福利技术

Abstract: This paper assessed the application potential of artificial intelligence（AI）and sensor technology in the dairy cattle farming industry,with a focus on analyzing the innovative applications of the Internet of Things （IoT）in long-distance livestock transportation, especially the progress in livestock identification and census. These technologies have significantly enhanced the precise traceability during transportation,particularly in monitoring the behavioral patterns of dairy cows and real-time weight changes. By applying these technologies,animal welfare has been improved,supply chain errors have been reduced,productivity has been increased,and market access has been expanded,thereby strengthening global competitiveness. However,the adoption of these technologies faces challenges such as individualized management,economic analysis,data security,privacy protection,technological adaptability,personnel training,and sustainability,and these challenges are closely related to ethical issues such as animal welfare,data abuse,and environmental impact. This study present a successful framework for technological integration and emphasized the importance of continuous learning and adaptation. The potential of AI and sensor technology in advancing the dairy cattle farming industry towards a more sustainable and efficient future is becoming increasingly evident.

Key words: precision farming, smart agriculture, digital livestock management, animal welfare technology

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ISSN 1671-4393
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