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Description of classification algorithms and complete feature set used in the study from Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep
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journal contribution
posted on 2019-12-18, 15:59
authored by
Jasmeet Kaler
,
Jurgen Mitsch
,
Jorge A. Vázquez-Diosdado
,
Nicola Bollard
,
Tania Dottorini
,
Keith A. Ellis
Classification algorithm and list of features used
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Categories
Biomedical Engineering not elsewhere classified
Animal Behaviour
Pattern Recognition and Data Mining
Keywords
sheep behaviour
lameness
machine learning
accelerometer and gyroscope
sensor
signal processing
precision livestock farming
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CC BY 4.0
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