Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks

Journal of Dairy Research

Volumn 77, Issue 2, 2010, Pages 168-175

  Sun, Zhibin ^a   Samarasinghe, Sandhya ^a   Jago, Jenny ^b  

^a LINCOLN UNIVERSITY   (New Zealand)

^b DAIRYNZ   (New Zealand)

Author keywords

Artificial neural networks; Automatic milking systems; Mastitis; Multilayer perceptron; Principal component analysis; Self organizing feature maps

Indexed keywords

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOVINE MASTITIS; CATTLE; DAIRYING; ELECTRIC CONDUCTIVITY; FEMALE; HOSPITALIZATION; LACTATION; METHODOLOGY; PHYSIOLOGY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ANIMALS; CATTLE; DAIRYING; ELECTRIC CONDUCTIVITY; FEMALE; LACTATION; MASTITIS, BOVINE; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX;

EID: 77952547907     PISSN: 00220299     EISSN: 14697629     Source Type: Journal    
DOI: 10.1017/S0022029909990550     Document Type: Article

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