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Article Dans Une Revue Journal of Agricultural, Biological, and Environmental Statistics Année : 2011

Combining cattle activity and progesterone measurements using hidden semi-markov models

Résumé

Hourly pedometer counts and irregularly measured concentration of the hormone progesterone were available for a large number of dairy cattle. A hidden semi-Markov was applied to this bivariate time-series data for the purposes of monitoring the reproductive status of cattle. In particular, the ability to identify oestrus is investigated as this is of great importance to farm management. Progesterone concentration is a more accurate but more expensive method than pedometer counts, and we evaluate the added benefits of a model that includes this variable. The resulting model is biologically sensible, but validation is difficult.We utilize some auxiliary data to demonstrate the model’s performance.
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Dates et versions

hal-01186803 , version 1 (29-05-2020)

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Jared O'Connell, Frede A. Togersen, Nicolas N.C. Friggens, Peter Lovendahl, Soren Hojsgaard. Combining cattle activity and progesterone measurements using hidden semi-markov models. Journal of Agricultural, Biological, and Environmental Statistics, 2011, 16 (1), pp.1-16. ⟨10.1007/s13253-010-0033-7⟩. ⟨hal-01186803⟩
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