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

Article, Other literature type English OPEN
Pegorini, Vinicius; Karam, Leandro Zen; Pitta, Christiano; Cardoso, Rafael; Silva, Jean da; Kalinowski, Hypolito; Ribeiro, Richardson; Bertotti, Fábio; Assmann, Tangriani;
  • Publisher: Multidisciplinary Digital Publishing Institute
  • Journal: Sensors,volume 15,issue 11,pages28,456-28,471 (issn: 1424-8220, eissn: 1424-8220)
  • Related identifiers: doi: 10.3390/s151128456, pmc: PMC4701289
  • Subject: pattern classification | TP1-1185 | fiber Bragg grating sensor (FBG) | Chemical technology | machine learning | ingestive behavior | Article | biomechanical forces
    mesheuropmc: digestive, oral, and skin physiology

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... View more
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