Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
Vet Res Commun. 2013 Jun;37(2):91-9. doi: 10.1007/s11259-012-9549-3. Epub 2012 Dec 21.
The aim of this study was to assess the variability of temperatures measured by a video-based infrared camera (IRC) in comparison to rectal and vaginal temperatures. The body surface temperatures of cows and calves were measured contactless at different body regions using videos from the IRC. Altogether, 22 cows and 9 calves were examined. The differences of the measured IRC temperatures among the body regions, i.e. eye (mean: 37.0 °C), back of the ear (35.6 °C), shoulder (34.9 °C) and vulva (37.2 °C), were significant (P < 0.01), except between eye and vulva (P = 0.99). The quartile ranges of the measured IRC temperatures at the 4 above mentioned regions were between 1.2 and 1.8 K. Of the investigated body regions the eye and the back of the ear proved to be suitable as practical regions for temperature monitoring. The temperatures of these 2 regions could be gained by the use of the maximum temperatures of the head and body area. Therefore, only the maximum temperatures of both areas were used for further analysis. The data analysis showed an increase for the maximum temperature measured by IRC at head and body area with an increase of rectal temperature in cows and calves. The use of infrared thermography videos has the advantage to analyze more than 1 picture per animal in a short period of time, and shows potential as a monitoring system for body temperatures in cattle.
本研究旨在评估基于视频的红外摄像机（IRC）测量的温度与直肠和阴道温度的变异性。使用 IRC 的视频对奶牛和小牛的身体表面温度进行非接触式测量，测量了不同身体部位的温度。总共检查了 22 头奶牛和 9 头小牛。IRC 测量的不同身体部位之间的温度差异，即眼睛（平均值：37.0°C）、耳朵背面（35.6°C）、肩部（34.9°C）和外阴（37.2°C），具有统计学意义（P < 0.01），除了眼睛和外阴之间（P = 0.99）。上述 4 个部位测量的 IRC 温度的四分位范围在 1.2 到 1.8 K 之间。在所研究的身体部位中，眼睛和耳朵背面被证明是适合进行温度监测的实际部位。这 2 个部位的温度可以通过使用头部和身体区域的最高温度来获得。因此，仅使用这两个区域的最高温度进行进一步分析。数据分析表明，IRC 在头部和身体区域测量的最大温度随着奶牛和小牛直肠温度的升高而升高。使用红外热成像视频的优点是可以在短时间内对每只动物分析多个图像，并且作为牛体温度的监测系统具有潜力。
