Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars.

ABSTRACT: Monitoring and classification of dairy cattle behaviours is essential for optimising milk yields. Early detection of illness, days before the critical conditions occur, together with automatic detection of the onset of oestrus cycles is crucial for obviating prolonged cattle treatments and improving the pregnancy rates. Accelerometer-based sensor systems are becoming increasingly popular, as they are automatically providing information about key cattle behaviours such as the level of restlessness and the time spent ruminating and eating, proxy measurements that indicate the onset of heat events and overall welfare, at an individual animal level. This paper reports on an approach to the development of algorithms that classify key cattle states based on a systematic dimensionality reduction

SUBMITTER: Pavlovic D 

PROVIDER: S-EPMC8951529 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature