Hidden phase-type Markov model for the prediction of onset of farrowing for loose-housed sows
Algorithm for the prediction of onset of farrowing based on online sensor records. Directly calculates the mean and standard deviation of remaining time to farrowing. A framework to integrate different sensors; possible to rank the sensor combination. Satisfactory performance in the warning system; promising in Precision livestock farming. Low complexity of the algorithm means easy implementation on the herd level computer.
prediction of onset of farrowing sensors precision livestock hidden markov model phase-type distribution automated system