A multi-dimensional dynamic linear model for monitoring slaughter pig production

Publication: Research - peer-reviewPaper – Annual report year: 2016

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Scientists and farmers still lack an efficient way to unify the large number of different types of data series, which are increasingly being generated in relation to automatic herd monitoring. Such a unifying model should be able to account for the correlations between the various types of data, resulting in a model which could potentially yield more information than can be gained from the individual components separately. Here we present such a model for monitoring slaughter pig production, in the form of a multivariate dynamic linear model. This model unifies three types of data (live weight, feed-and water consumption), measured at different levels of detail (individual pig and double-pen level) and with different observational frequencies (weekly and daily), using series collected for the Danish PigIT project. The presented three-dimensional model serves as a proof of concept, and it should be straightforward to expand it with additional data types.
Original languageEnglish
Publication date2015
Number of pages8
StatePublished - 2015
Event7th European Conference on Precision Livestock Farming (EC-PLF) - Milan, Italy

Conference

Conference7th European Conference on Precision Livestock Farming (EC-PLF)
Number7
CountryItaly
CityMilan
Period15/09/201518/09/2015

    Keywords

  • Dynamic linear model, Information unification, Modeling, Monitoring, Pig production
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