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

Clicks: 367
ID: 110077
2015
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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Authors Pegorini V;Karam LZ;Pitta CS;Cardoso R;da Silva JC;Kalinowski HJ;Ribeiro R;Bertotti FL;Assmann TS;;
Journal Sensors (Basel, Switzerland)
Year 2015
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