Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks

Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks

Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and have evolved to identify behaviours such as the tim...

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Bibliographic Details
Main Authors: Dejan Pavlovic, Christopher Davison, Andrew Hamilton, Oskar Marko, Robert Atkinson, Craig Michie, Vladimir Crnojević, Ivan Andonovic, Xavier Bellekens, Christos Tachtatzis
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
precision agriculture
convolutional neural networks
cattle behaviour monitoring
Online Access:https://www.mdpi.com/1424-8220/21/12/4050

Internet

https://www.mdpi.com/1424-8220/21/12/4050

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