Article ID Journal Published Year Pages File Type
6540101 Computers and Electronics in Agriculture 2016 7 Pages PDF
Abstract
The model detected a rise in activity on average 13 ± 4.8 h (mean ± standard deviation) before farrowing in sows housed in crates and pens with sensitivity of 96.7% and specificity of 100%. The fact that we were able to use a single model with a constant set of parameters gives indication that the method has potential to become a robust indicator of farrowing in different housing systems, even though pre-farrowing activity was higher in sows housed in pens than in crates.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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