奶牛个体识别方法及其应用研究进展

为了解个体识别在奶牛生产中记录产奶量、监控采食活动、监测卧床行为、追踪活动轨迹以及其他生产项目中的研究现状,以"奶牛"、"个体识别"、"识别方法"和"生产应用"为关键词,对2008—2018年的文献进行检索,并根据识别过程的不同特点对三类识别方法,即人工机械识别、接触式电子识别和图像生物识别进行归纳和总结并对识别方法、现代化生产应用以及国内进展等3个方面进行归纳和总结。结果表明:1)生物识别技术相较于传统方法对奶牛个体的伤害较小,可以在很多方面克服环境的干扰。2)目前智能识别技术与奶牛行为活动监测相关联,可以全面掌握个体健康状况和生产性能。3)国内在计算机视觉方面取得了长足的进步,为个体的智能化识别打下了坚实基础。今后个体识别技术研究应该着重于提高对环境的适应性和系统的兼容性,为建立完整的自动化奶牛监测体系提供依据。

Research progress on methods and application of dairy cow identification

To evaluate the development of individual identification of dairy cows during production in recording milk yield,monitoring feeding activity,monitoring bed behavior,tracking activity track and other production projects,the literature related to methods and application of dairy cow identification 2008-2018 are retrieved by using "dairy cow","individual recognition","identification method" and "production application" as keywords.The results show that:1) Compared with traditional methods,biometrics identification could overcome environmental interference in many aspects to reduce harm to individual cows.2) Currently,intelligent identification technology associated with the monitoring of cow behavior could comprehensively monitor individual health status and production performance.3) China has made great progress in computer vision,which builds a solid foundation for intelligent identification of individuals.In the future,the research on individual identification technology should focus on improving the environmental adaptability and system compatibility to provide basis for the establishment of a complete automatic cow monitoring system.