Modeling bovine lameness with limb movement variables
Yukun Wu, Nagaraj Neerchal, Robert Dyer, Uri Tasch, Parimal Rajkondawar
DOI: 10.4236/jbise.2011.46053   PDF    HTML     4,164 Downloads   7,507 Views   Citations


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.

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Wu, Y. , Neerchal, N. , Dyer, R. , Tasch, U. and Rajkondawar, P. (2011) Modeling bovine lameness with limb movement variables. Journal of Biomedical Science and Engineering, 4, 419-425. doi: 10.4236/jbise.2011.46053.

Conflicts of Interest

The authors declare no conflicts of interest.


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