Feature Selection and Comparison of Machine Learning Algorithms in Classification of Grazing and Rumination Behaviour in Sheep

Grazing and ruminating are the most important behaviours for ruminants, as they spend most of their daily time budget performing these. Continuous surveillance of eating behaviour is an important means for monitoring ruminant health, productivity and welfare. However, surveillance performed by human...

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Auteurs principaux: Nicola Mansbridge, Jurgen Mitsch, Nicola Bollard, Keith Ellis, Giuliana G. Miguel-Pacheco, Tania Dottorini, Jasmeet Kaler
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2018-10-01
Collection:Sensors
Sujets:
sheep behaviour
grazing
rumination behaviour
classification algorithm
accelerometer and gyroscope
sensor
machine learning
precision livestock monitoring
Accès en ligne:http://www.mdpi.com/1424-8220/18/10/3532
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