Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6539322 | Computers and Electronics in Agriculture | 2018 | 4 Pages |
Abstract
The model was able to predict whether the cow was at the feeding trough or not with the accuracy of 97.6%, sensitivity 95.3% and specificity 97.9%. The model was also able to estimate the mean bout duration and the number of feeding bouts.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Matti Pastell, Lilli Frondelius,