Behaviour classification of extensively grazed sheep using machine learning-Reference-Cited by-同舟云学术

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Behaviour classification of extensively grazed sheep using machine learning

Published:2020-02 Issue: Volume:169 Page:105175
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Fogarty Eloise S.,Swain David L.,Cronin Greg M.,Moraes Luis E.,Trotter Mark

Funder

Central Queensland University

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference53 articles.

1. Predicting bull behavior events in a multiple-sire pasture with video analysis, accelerometers, and classification algorithms;Abell;Comput. Electron. Agric.,2017

2. Using a three-axis accelerometer to identify and classify sheep behaviour at pasture;Alvarenga;Appl. Animal Behav. Sci.,2016

3. Comparison of classification algorithms to predict outcomes of feedlot cattle identified and treated for bovine respiratory disease;Amrine;Comput. Electron. Agric.,2014

4. Comparison of the time budgets and circadian patterns of maintenance activities in sheep, cattle and horses grouped together;Arnold;Appl. Animal Behav. Sci.,1984

5. Use of GPS tracking collars and accelerometers for rangeland livestock production research;Bailey;Translat. Animal Sci.,2018

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