In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning

Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. The proposal is based on data collected by optical...

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Detalles Bibliográficos
Autores principales: Pegorini, Vinicius, Karam, Leandro Zen, Pitta, Christiano Santos Rocha, Cardoso, Rafael, da Silva, Jean Carlos Cardozo, Kalinowski, Hypolito José, Ribeiro, Richardson, Bertotti, Fábio Luiz, Assmann, Tangriani Simioni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701289/
https://www.ncbi.nlm.nih.gov/pubmed/26569250
http://dx.doi.org/10.3390/s151128456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701289/
https://www.ncbi.nlm.nih.gov/pubmed/26569250
http://dx.doi.org/10.3390/s151128456

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