肉牛生理指标智能监测技术研究进展与展望  

Research Advances and Prospect of Intelligent Monitoring Systems for the Physiological Indicators of Beef Cattle

作　　者：张帆[1] 周梦婷 熊本海[1] 杨振刚 刘民泽 冯文晓 唐湘方[1] ZHANG Fan;ZHOU Mengting;XIONG Benhai;YANG Zhengang;LIU Minze;FENG Wenxiao;TANG Xiangfang(State Key Laboratory of Animal Nutrition and Feeding,Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China;Yangxin Yiliyuan Halal Meat Co.,Ltd.,Binzhou 251800,China;Beijing Sunlon Livestock Development Co.,Ltd.,Beijing 102600,China)

机构地区：[1]中国农业科学院北京畜牧兽医研究所,畜禽营养与饲养全国重点实验室,北京100193 [2]阳信亿利源清真肉类有限公司,山东滨州251800 [3]北京首农畜牧发展有限公司,北京102600

出　　处：《智慧农业（中英文）》2024年第4期1-17,共17页Smart Agriculture

基　　金：山东省重点研发计划(2022TZXD0013);国家重点研发计划项目(2023YFD2000701)。

摘　　要：[目的/意义]随着自动化、数智化技术的快速发展及其相关技术在肉牛养殖上的逐步推广利用,肉牛智能化养殖技术研究也取得了一定进步。肉牛的生理指标如运动量、体温、心率、呼吸频率,以及反刍量等变化反映了肉牛的健康或亚健康状态。基于多种传感器采集到的数据以及机器学习、数据挖掘及模型化分析等技术的利用,肉牛的生理指标可由智能感知装备尤其接触式设备自动获取并用于发情、产犊、健康和应激的监测。[进展]针对肉牛养殖过程生理指标的智能监测技术及其利用价值进行了系统分析,分析了生理指标监测技术在实际生产中的应用现状,总结了肉牛生理指标监测的难点和挑战,并提出了未来发展方向。[结论/展望]肉牛生理指标的智能监测与利用既提高数据采集的时效性和准确性,有利于提高一线人员工作效率,促进肉牛养殖的智能化水平及健康养殖水平。结合当前中国肉牛实际饲养现状和肉牛生理指标智能监测传感器的研究现状,未来需降低接触类相关设备能耗、提高使用寿命;提高各监测数据的相互融合深度分析,提高监测准确率;加强非接触、高精度、自动化的数据采集分析技术研发,减少人工佩戴设备的工作量和设备使用成本。[Significance]The beef cattle industry plays a pivotal role in the development of China's agricultural economy and the enhancement of people's dietary structure.However,there exists a substantial disparity in feeding management practices and economic efficiency of beef cattle industry compared to developed countries.While the beef cattle industry in China is progressing towards intensive,modern,and large-scale development,it encounters challenges such as labor shortage and rising labor costs that seriously affect its healthy development.The determination of animal physiological indicators plays an important role in monitoring animal welfare and health status.Therefore,leveraging data collected from various sensors as well as technologies like machine learning,data mining,and modeling analysis enables automatic acquisition of meaningful information on beef cattle physiological indicators for intelligent management of beef cattle.In this paper,the intelligent monitoring technology of physiological indicators in beef cattle breeding process and its application value are systematically summarized,and the existing challenges and future prospects of intelligent beef cattle breeding process in China are prospected.[Progress]The methods of obtaining information on beef cattle physiological indicators include contact sensors worn on the body and non-contact sensors based on various image acquisitions.Monitoring the exercise behavior of beef cattle plays a crucial role in disease prevention,reproduction monitoring,and status assessment.The three-axis accelerometer sensor,which tracks the amount of time that beef cattle spend on lying,walking,and standing,is a widely used technique for tracking the movement behavior of beef cattle.Through machine vision analysis,individual recognition of beef cattle and identification of standing,lying down,and straddling movements can also be achieved,with the characteristics of non-contact,stress-free,low cost,and generating high data volume.Body temperature in beef cattle is associated w

关 键 词：肉牛生理指标 人工智能 智能监测 传感器 数据融合 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论] F326.3[自动化与计算机技术—计算机科学与技术]