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Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection

机译:动物委员会邀请审查:精密牲畜养殖奶牛养殖,专注于雌期系检测

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Dairy cows are high value farm animals requiring careful management to achieve the best results. Since the advent of robotic and high throughput milking, the traditional few minutes available for individual human attention daily has disappeared and new automated technologies have been applied to improve monitoring of dairy cow production, nutrition, fertility, health and welfare. Cows milked by robots must meet legal requirements to detect healthy milk. This review focuses on emerging technical approaches in those areas of high cost to the farmer (fertility, metabolic disorders, mastitis, lameness and calving). The availability of low cost tri-axial accelerometers and wireless telemetry has allowed accurate models of behaviour to be developed and sometimes combined with rumination activity detected by acoustic sensors to detect oestrus; other measures (milk and skin temperature, electronic noses, milk yield) have been abandoned. In-line biosensors have been developed to detect markers for ovulation, pregnancy, lactose, mastitis and metabolic changes. Wireless telemetry has been applied to develop boluses for monitoring the rumen pH and temperature to detect metabolic disorders. Udder health requires a multisensing approach due to the varying inflammatory responses collectively described as mastitis. Lameness can be detected by walk over weigh cells, but also by various types of video image analysis and speed measurement. Prediction and detection of calving time is an area of active research mostly focused on behavioural change.
机译:奶牛是高价值的农场动物,需要仔细管理,实现最佳结果。自机械手和高通量挤奶的出现以来,传统的几分钟可用于个人人类注意力消失,并采用了新的自动化技术来改善奶牛生产,营养,生育,健康和福利的监测。机器人挤奶的奶牛必须符合法律要求来检测健康的牛奶。本综述重点介绍,新兴的技术方法高成本为农民(生育,代谢障碍,乳房炎,跛行和钙)。低成本三轴加速度计和无线遥测的可用性允许开发精确的行为模型,并且有时结合由声学传感器检测的探测活动来检测麻切;其他措施(牛奶和皮肤温度,电子鼻子,牛奶产量)被遗弃。已经开发了在线生物传感器以检测排卵,妊娠,乳糖,乳腺炎和代谢变化的标志物。已应用无线遥测,用于开发用于监测瘤胃pH和温度以检测代谢障碍的钢管。由于各种炎症反应共同描述为乳腺炎,乳房健康需要多学期的方法。跛行可以通过散步超过称重细胞,而是通过各种类型的视频图像分析和速度测量来检测。产犊时间的预测和检测是积极研究领域,主要集中在行为变化。

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