A multi-dimensional dynamic linear model for monitoring slaughter pig production
Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
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A multi-dimensional dynamic linear model for monitoring slaughter pig production. / Jensen, Dan Børge; Cornou, Cecile; Toft, Nils; Kristensen, Anders Ringgaard.
2015. Paper præsenteret ved 7TH EUROPEAN CONFERENCE ON PRECISION LIVESTOCK FARMING (EC-PLF), Milano, Italien.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
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TY - CONF
T1 - A multi-dimensional dynamic linear model for monitoring slaughter pig production
AU - Jensen, Dan Børge
AU - Cornou, Cecile
AU - Toft, Nils
AU - Kristensen, Anders Ringgaard
N1 - Conference code: 7
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://users.unimi.it/ecplf2015/assets/newAssets/final_programme.pdf
M3 - Paper
Y2 - 15 September 2015 through 18 September 2015
ER -
ID: 156925998