Annually, numerous cattle die of various diseases, necessitating the need for effective cattle health management. To ensure cattle disease detection at an early stage and identify the health status of cattle, we collected the environment temperature, humidity, illuminance, and infrared images of cattle in an actual-life environment as input parameters to develop an artificial intelligence characterization module for measuring deep body temperature in a contactless manner. By analyzing the correlation of estimating deep body temperature at the horn, eyeball, and nose of cattle, the most effective way of estimating this temperature was found to be at the horn. The estimation accuracy was particularly high in the sitting state. Moreover, we proposed a noncontact measurement system that can approximately measure the moving distance of cattle and depict the cattle movement trajectory. The usability and reliability of the proposed systems were verified via an experiment using special feed. We used moving distance data as an additional input for the body temperature estimation system and found that rumen temperature can be accurately estimated. The body temperature estimated using the proposed system can be used to realize long-term remote monitoring of cattle health and early and timely abnormality detection.

中文翻译：

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牲畜非接触体温监测与预报系统的研制

每年，许多牛死于各种疾病，因此需要进行有效的牛健康管理。为了确保及早发现牛病并确定牛的健康状况，我们收集了实际生活环境中牛的环境温度，湿度，照度和红外图像作为输入参数，以开发用于测量的人工智能表征模块非接触式深体温。通过分析估计牛角，眼球和鼻子深部体温的相关性，发现估计此温度的最有效方法是角。在就座状态下的估计精度特别高。而且，我们提出了一种非接触式测量系统，该系统可以近似地测量牛的移动距离并描绘牛的运动轨迹。拟议系统的可用性和可靠性通过使用特殊提要的实验进行了验证。我们使用移动距离数据作为人体温度估算系统的附加输入，发现可以准确估算瘤胃温度。使用所提出的系统估算的体温可用于实现对牛健康的长期远程监控以及及早和及时的异常检测。我们使用移动距离数据作为人体温度估算系统的附加输入，发现可以准确估算瘤胃温度。使用所提出的系统估算的体温可用于实现对牛健康的长期远程监控以及及早和及时的异常检测。我们使用移动距离数据作为人体温度估算系统的附加输入，发现可以准确估算瘤胃温度。使用所提出的系统估算的体温可用于实现对牛健康的长期远程监控以及及早和及时的异常检测。