Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location data-Reference-Cited by-同舟云学术

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Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location data

Published:2018-09-07 Issue:9 Volume:13 Page:e0203546
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Wang Jun^ORCID,He Zhitao,Zheng Guoqiang,Gao Song,Zhao Kaixuan

Funder

National Natural Science Foundation of China

Key Research Project of Education Bureau of Henan Province, China

Key Scientific and Technological Project of Henan Province, China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

1. Localisation and identification performances of a real-time location system based on ultra wide band technology for monitoring and tracking dairy cow behavior in semi-open free-stall barn;SMC Porto;Computers and Electronics in Agriculture,2014

2. A new method to measure behavioural activity levels in dairy cows;R Müller;Applied Animal Behaviour Science,2003

3. A brief note on the validation of a system for recording lying behaviour in dairy cows;K O'Driscoll;Applied Animal Behaviour Science,2008

4. System specification and validation of a noseband pressure sensor for measurement of ruminating and eating behavior in stable-fed cows;N Zehner;Computers and Electronics in Agriculture,2017

5. Classification of behaviour in housed dairy cows using an accelerometer-based activity monitoring system;JAV Diosdado;Animal Biotelemetry,2015

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