Use of online records for detection of diseases and heat in dairy cattle stocks

By Jørgen Vinsløv Hansen
PhD Dissertations
August 2008
Abstract:
In recent years management of cattle herds has become a much more automated process and machinery for measuring a number of biological entities online has been developed. Analysis of such online data can be helpful to the farmer in the management of the herd. This thesis is a contribution to the ongoing research in analysing online data. The focus here is on using state space models, which are a class of models suited for analysing time series. In the thesis the developed techniques are applied to specific datasets. For example a state space model is developed to predict the time of heat in cows using measurements of progesterone concentrations in cow milk. Finally, the thesis also contains a study on the asymptotic behaviour of a certain class of parameter estimates in state space models.
Thesis advisor: Jens Ledet Jensen
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