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Provedor de dados:  CIGR Journal
País:  China
Título:  Dynamic time warping for classifying lameness in cows
Kaunkid, Sayan
Rattanawong, Tanadon
Data:  2016-09-28
Ano:  2016
Palavras-chave:  Lameness
Behavioral time periods of cows
Dynamic time warping
Resumo:  Lameness in dairy cows is one of the most significant welfare and productivity issue. This work is mainly concerned with an automated detecting system for classifying lameness in dairy cows. In the proposed system, Dynamic Time Warping (DTW) is used to measure the similarity between two-time series. The first time series is the behavioral time periods of the cow used as the templates, which was collected while the cow was sound. The second time series is the behavioral time periods of the cow on each day used for testing. This process results in accumulated distance that is compared with a threshold value for classifying lameness. In the case of studies, three cows were used in experiments. The classified results show that the proposed algorithm can correctly classify lame and non-lame cows.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Editor:  International Commission of Agricultural and Biosystems Engineering
Formato:  application/pdf
Fonte:  Agricultural Engineering International: CIGR Journal; Vol 18, No 3 (2016): CIGR Journal; 350-357

Direitos:  Copyright (c) 2016 Agricultural Engineering International: CIGR Journal

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