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Body condition scoring is a simple method to estimate the energy supply of dairy cattle. We investigated how computer vision-based supervised deep learning, specifically neural networks, can automate body condition scoring. To execute this, we have used video recordings of the rumps of a large number of animals. We have trained and tested various convolutional neural networks with this collected data. The weights of our trained CNNs are freely available, supporting similar works.

体况评分（Body condition scoring）是一种用于评估奶牛能量供给状态的简易方法。本研究探究了基于计算机视觉的监督式深度学习技术——尤其是神经网络——如何实现体况评分的自动化流程。为开展此项研究，我们采集了大量奶牛臀部区域的视频录像作为实验数据集。我们利用该数据集对多种卷积神经网络（convolutional neural networks, CNN）进行了训练与测试。本研究训练得到的卷积神经网络模型权重已公开并可免费获取，可为同类研究工作提供支撑。