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Modeling bovine lameness with limb movement variables
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作者 Yukun Wu Nagaraj Neerchal +2 位作者 Robert Dyer uri tasch Parimal Rajkondawar 《Journal of Biomedical Science and Engineering》 2011年第6期419-425,共7页
Lameness detection is a world-wide challenge to far-mers and veterinarians. Traditionally, one uses visual observation to make judgment on a cow's lameness or soundness. Visual observation heavily depends on the o... Lameness detection is a world-wide challenge to far-mers and veterinarians. Traditionally, one uses visual observation to make judgment on a cow's lameness or soundness. Visual observation heavily depends on the observer's experience, hence is subjective or ob-server-dependent. And even worse, it is inconsistent. It's reported that the agreement between veterinarians can be as low as 45% [1]. It is necessary and urgent to develop an objective detection method that can automatically detect lameness when it occurs. In this paper, we describe how statistical models can be used to develop such methods and how well the statistical models perform. 展开更多
关键词 STATISTICAL MODELING BOVINE LAMENESS DETECTION
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