中国畜牧杂志

2019, v.55(10) 52-57

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奶牛呼吸频率自动监测技术研究进展
Automatic Measurement Methods for Respiration Rate of Cattle: A Review

李奇峰;丁露雨;李洁;马为红;肖伯祥;余礼根;高荣华;郑文刚;张石锐;
LI Qifeng;DING Luyu;LI Jie;MA Weihong;XIAO Boxiang;YU Ligen;GAO Ronghua;ZHENG Wengang;ZHANG Shirui;Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture (NERCITA);Key Laboratory of Agri-informatics, Ministry of Agriculture;Information Center of Tianjin Agricultural and Rural work committee;Beijing Research Center of Intelligent Equipment for Agriculture;

摘要(Abstract):

在"互联网+现代畜牧业"和农业物联网普及应用的共同推动下,动物生命信息的获取与分析应用成为畜禽智慧养殖技术研究的热点。奶牛呼吸频率是反映养殖环境舒适度的重要特征,随着养殖业自动化与智能化的发展,呼吸频率自动监测的需求日益凸显。本文从接触式和非接触式两方面着重介绍了基于侧腹伸缩运动和呼吸气流变化的6种监测方法,分析了各类方法的优缺点、研究现状和应用前景,期望有助于完善奶牛生理参数自动监测装备的开发与生产应用,为国内开展奶牛智慧养殖研究提供参考。
Driven by the proposition of "Internet + animal production" and the application of IOT in Agriculture, sensing and application of animal bio-information has been a popular research topic in precision livestock farming. Respiration rate(RR) of dairy cow is an important indicator to evaluate environmental comfort. With the development of automation and intelligence in animal production, it comes out an increasing need of automatic monitoring of RR in dairy production. This paper introduced six different sensing methods based on chest-abdominal movement and respiratory airflow, either contact or contact free. Aiming to improve the development and practical application of automatic monitoring equipment for physiological parameters of dairy cows, this paper illustrated the research status, advantages and disadvantages, and application prospect of the different sensing methods. It provides a reference for researches on precision and intelligent farming of dairy cow in China.

关键词(KeyWords): 奶牛;呼吸频率;可穿戴设备;图像分析;自动监测
Dairy cow;Respiration rate;Wearable sensors;Image analysis;Automatic monitoring

Abstract:

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基金项目(Foundation): 国家重点研发计划(2018YFD0500702-02);; 北京市自然科学基金(6194037)

作者(Author): 李奇峰;丁露雨;李洁;马为红;肖伯祥;余礼根;高荣华;郑文刚;张石锐;
LI Qifeng;DING Luyu;LI Jie;MA Weihong;XIAO Boxiang;YU Ligen;GAO Ronghua;ZHENG Wengang;ZHANG Shirui;Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture (NERCITA);Key Laboratory of Agri-informatics, Ministry of Agriculture;Information Center of Tianjin Agricultural and Rural work committee;Beijing Research Center of Intelligent Equipment for Agriculture;

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