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Non-intrusive automated measurement of dairy cow body condition using 3D video

机译:使用3D视频的非侵入式自动测量奶牛身体状况

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摘要

Regular scoring of a dairy herd in terms of various physical metrics such as Body Condition Score (BCS), mobility and weight are essential for maintaining high animal welfare. This paper presents preliminary results of an automated system capable of nonintrusively measuring BCS automatically as the cow walks uninhibited beneath a 3D camera. The system uses a ’rolling ball’ algorithm on the depth map which simulates how well a ball of a set radius fits the surface. In this way a measure of angularity is generated which is shown to be inversely related to BCS on 95 cows. The measurementsudare shown to be highly repeatable with 14 out of 15 cows being scored within one quarter BCS score repeatedly and seven of those being scored within an eighth of a BCS score.
机译:定期根据各种身体指标(例如身体状况评分(BCS),活动性和体重)对奶牛群进行评分,对于维持较高的动物福利至关重要。本文介绍了一种自动系统的初步结果,该系统能够在母牛不受约束地在3D摄像机下方行走时自动进行非侵入式测量BCS。该系统在深度图上使用“滚动球”算法,该算法可模拟设定半径的球与表面的贴合程度。以这种方式,产生了成角度的度量,其显示为与95头母牛的BCS成反比。测量结果显示具有很高的可重复性,每15头母牛中有14头在四分之一的BCS分数内被重复评分,而其中七头在BCS分数的八分以内被评分。

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