Article ID Journal Published Year Pages File Type
4759208 Computers and Electronics in Agriculture 2016 11 Pages PDF
Abstract
The feature selection process used in developing each of the binary classifiers found that features representing the motion intensity and pitch of the cow's head were most important to each of behavior's classification. Whilst a minor performance improvement was obtained using the proposed methodology, it is suggested that further performance improvements could be obtained by increasing the diversity of the classifier's inputs. Diversity could be created by fusing the data of other sensors that can be fitted to the cows i.e. GPS tracking unit, pressure sensor and microphone.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , , , , , ,