Modeling bovine lameness with limb movement variables
Yukun Wu, Nagaraj Neerchal, Robert Dyer, Uri Tasch, Parimal Rajkondawar
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DOI: 10.4236/jbise.2011.46053   PDF   HTML     3,959 Downloads   7,098 Views   Citations

Abstract

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.

References

[1] West, G.P. (1985) Black's veterinary dictionary. 15th Rev Edition. A & C Black Publishers Ltd., London. doi:10.3168/jds.2007-0496
[2] Thomsen, P.T., Munksgaard, L. and T?gersen, F.A. (2008) Evaluation of a lameness scoring system for dairy cows. Journal of Dairy Science, 91, 119-126.
[3] Rajkondawar, P.G., Tasch, U., Lefcourt, A.M., Erez, B., Dyer, R. and Varner, M.A. (2002) A system for identifying lameness in dairy cattle. ASABE Journal of Applied Engineering in Agriculture, 18, 87-96.
[4] Dean, C.B. (1986) Testing for overdispersion in Poisson and binomial regression models. Journal of American Statistical Association, 87, 451-457. doi:10.2307/2290276
[5] Morel, J.G. and Neerchal, N.K. (2007) Cluster binary logistic regression using a finite mixture distribution with application to teratology experiment. Statistics in Medi- cine, 16, 2843-2853. doi:10.1002/(SICI)1097-0258(19971230)16:24<2843::AID-SIM627>3.0.CO;2-F
[6] Dyer, R.M., Neerchal, N.K., Tasch, U., Wu, Y., Dyer, P. and Rajkondawar P.G. (2007) Objective determination of claw pain and its relationship to limb locomotion score in dairy cattle. Journal of Dairy Science, 90, 4592-4602. doi:10.1002/(SICI)1097-0258(19971230)16:24<2843::AID-SIM627>3.0.CO;2-F
[7] Stokes, M.E., Davis, C.S. and Koch, G.G. (2009) Cate- gorical data analysis using the SAS system. SAS Publishing, Cary.
[8] SAS Institute. (2007) SAS/OR 9.1.3 user's guide: Ma-thematical programming. SAS Publishing, Cary.

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