Kurras Friederike, Jakob Martina
Department of Technological Assessment and Substance Cycles, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany.
Animals (Basel). 2024 Feb 16;14(4):640. doi: 10.3390/ani14040640.
The aim of this study is to show the potential of a vision-based system using a single 360° camera to describe the dairy cows' behaviour in a free-stall barn with an automatic milking system. A total of 2299 snapshots were manually evaluated, counting the number of animals that were lying, standing and eating. The average capture rate of animals in the picture is 93.1% (counted animals/actual numbers of animals). In addition to determining the daily lying, standing and eating times, it is also possible to allocate animals to the individual functional areas so that anomalies such as prolonged standing in the cubicle or lying in the walkway can be detected at an early stage. When establishing a camera monitoring system in the future, attention should be paid to sufficient resolution of the camera during the night as well as the reduction of the concealment problem by animals and barn equipment. The automatic monitoring of animal behaviour with the help of 360° cameras can be a promising innovation in the dairy barn.
本研究的目的是展示一种基于视觉的系统的潜力，该系统使用单个360°摄像头来描述具有自动挤奶系统的自由牛舍中奶牛的行为。总共对2299张快照进行了人工评估，统计躺卧、站立和进食的动物数量。图片中动物的平均捕获率为93.1%（统计的动物数量/实际动物数量）。除了确定每日的躺卧、站立和进食时间外，还可以将动物分配到各个功能区域，以便能够早期检测到诸如在牛栏中长时间站立或在通道中躺卧等异常情况。未来在建立摄像头监测系统时，应注意摄像头在夜间要有足够的分辨率，以及减少动物和牛舍设备造成的遮挡问题。借助360°摄像头对动物行为进行自动监测可能是奶牛场一项很有前景的创新。
