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

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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Bibliographic Details
Main Authors: Nicola Mansbridge, Jurgen Mitsch, Nicola Bollard, Keith Ellis, Giuliana G. Miguel-Pacheco, Tania Dottorini, Jasmeet Kaler
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
sheep behaviour
grazing
rumination behaviour
classification algorithm
accelerometer and gyroscope
sensor
machine learning
precision livestock monitoring
Online Access:http://www.mdpi.com/1424-8220/18/10/3532

Internet

http://www.mdpi.com/1424-8220/18/10/3532

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