农业大数据学报 ›› 2026, Vol. 8 ›› Issue (2): 199-211.doi: 10.19788/j.issn.2096-6369.000126

• 数据应用 • 上一篇    下一篇

肉牛绿色健康智慧养殖:框架、技术与展望

张崧雪1,2,3, 孔繁涛2,4,*(), 王越5, 曹姗姗2,3, 张志勇2,3,4,6, 孙伟2,3,*()   

  1. 1 中国农业科学院特产研究所吉林长春 130112
    2 中国农业科学院国家南繁研究院海南三亚 572024
    3 中国农业科学院农业信息研究所北京 100081
    4 中国农业科学院农业经济与发展研究所北京 100081
    5 农业农村部大数据发展中心北京 100125
    6 新疆农业大学计算机与信息工程学院新疆乌鲁木齐 830052

Green, Healthy, and Smart Beef Cattle Farming: Framework, Technologies, and Future Outlook

ZHANG SongXue1,2,3, KONG FanTao2,4,*(), WANG Yue5, CAO ShanShan2,3, ZHANG ZhiYong2,3,4,6, SUN Wei2,3,*()   

  1. 1 Institute of Special Animal and Plant Sciences of CAAS, Changchun 130112, Jilin, China
    2 National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China
    3 Agricultural Information Institute of CAAS, Beijing 100081, China
    4 Agricultural Economy and Social Development Institute, CAAS, Beijing 100081, China
    5 Big Data Development Center, Ministry of Agriculture and Rural Affairs of the People' s Republic of China, Beijing 100125, China
    6 College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
  • Received:2025-08-02 Accepted:2025-10-10 Published:2026-06-26 Online:2026-06-26

摘要:

随着人工智能等新一代信息技术与畜牧养殖业的深度融合,肉牛养殖正朝着绿色、健康、智慧养殖方向转型。从肉牛养殖业务流与信息流融合的视角,以养殖全过程的“动态感知—精准管控—智能决策—应用反馈”为主线,构建肉牛绿色健康智慧养殖的整体框架,包含四个核心模块:动态感知与监测、智能管控与作业、智慧分析与决策、创新集成与示范,打造以数据驱动为核心、技术融合为支撑、智能装备为抓手、产业落地为导向的养殖体系;分析了实施该框架应具备的四项关键技术:智能感知与健康监测、生态环境绿色调控、精准饲喂与生物安全防控技术、智慧系统决策技术,总结归纳了关键技术的概念、最新进展及应用价值;从理论体系深化、关键技术迭代、应用场景适配、产业生态协同等方面,对肉牛智慧养殖的未来发展方向进行了展望,可为推进畜牧业高质量发展与现代化转型提供理论研究与实践参考。

关键词: 肉牛养殖, 智慧畜牧, 智能决策, 产业升级

Abstract:

With the deep integration of new-generation information technologies such as artificial intelligence into animal husbandry, beef cattle farming is undergoing a transformation toward green, healthy, and smart practices. From the perspective of integrating operational and informational flows, this paper constructs a comprehensive framework for smart beef cattle farming along the process of “dynamic sensing - precise control - intelligent decision-making - feedback application.” The framework comprises four core modules: dynamic sensing and monitoring, intelligent control and operations, smart analysis and decision-making, and innovative integration and demonstration. It aims to establish a farming system driven by data, supported by integrated technologies, enabled by intelligent equipment, and guided by industry applications. Four key technologies essential for implementation are analyzed: intelligent sensing and health monitoring, precision feeding and biosecurity control technology, and smart decision systems. Their concepts, recent advancements, and application values are summarized. Finally, future development directions are explored in terms of theoretical enhancement, technological iteration, scenario adaptability, and industrial ecosystem coordination, providing theoretical and practical references for the high-quality and modern transformation of animal husbandry.

Key words: beef cattle farming, smart animal husbandry, intelligent decision-making, industrial upgrading