A multi-dimensional dynamic linear model for monitoring slaughter pig production
Research output: Contribution to conference › Paper › Research › peer-review
Documents
- A multi-dimensional model for monitoring slaughter pig production
Accepted author manuscript, 662 KB, PDF document
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 language | English |
---|---|
Publication date | 2015 |
Publication status | Published - 2015 |
Event | 7TH EUROPEAN CONFERENCE ON PRECISION LIVESTOCK FARMING (EC-PLF) - Milano, Italy Duration: 15 Sep 2015 → 18 Sep 2015 Conference number: 7 http://users.unimi.it/ecplf2015/ |
Conference
Conference | 7TH EUROPEAN CONFERENCE ON PRECISION LIVESTOCK FARMING (EC-PLF) |
---|---|
Number | 7 |
Country | Italy |
City | Milano |
Period | 15/09/2015 → 18/09/2015 |
Internet address |
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available
ID: 156925998