Dynamic cattle behavioural classification using supervised ensemble classifiers
Cattle behavioural classification using cattle tag and supervised ensemble classifiers. Unsupervised hybrid clustering used to study inherent natural grouping in data set. Best classification accuracy was 96% using the bagging ensemble with Tree learner. A mechanism for the early detection and quantitative assessment of animal health.
cattle behavioural classification cattle tag data analysis ensemble machine learning unsupervised data clustering