Uncovering Patterns in Dairy Cow Behaviour: A Deep Learning Approach with Tri-Axial Accelerometer Data

Uncovering Patterns in Dairy Cow Behaviour: A Deep Learning Approach with Tri-Axial Accelerometer Data

The accurate detection of behavioural changes represents a promising method of detecting the early onset of disease in dairy cows. This study assessed the performance of deep learning (DL) in classifying dairy cows’ behaviour from accelerometry data acquired by single sensors on the cows’ left flank...

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Bibliographic Details
Main Authors: Paolo Balasso, Cristian Taccioli, Lorenzo Serva, Luisa Magrin, Igino Andrighetto, Giorgio Marchesini
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Animals
Subjects:
convolutional neural network
machine learning
precision livestock farming
animal welfare
Online Access:https://www.mdpi.com/2076-2615/13/11/1886

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