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Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization. Repositório Alice
CORDEIRO, A. F. da S.; NÄÄS, I. de A.; OLIVEIRA, S. R. de M.; VIOLARO, F.; ALMEIDA, A. C. M. de Almeida.
ABSTRACT: Among the challenges of pig farming in today's competitive market, there is factor of the product traceability that ensures, among many points, animal welfare. Vocalization is a valuable tool to identify situations of stress in pigs, and it can be used in welfare records for traceability. The objective of this work was to identify stress in piglets using vocalization, calling this stress on three levels: no stress, moderate stress, and acute stress. An experiment was conducted on a commercial farm in the municipality of Holambra, São Paulo State , where vocalizations of twenty piglets were recorded during the castration procedure, and separated into two groups: without anesthesia and local anesthesia with lidocaine base. For the recording of...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Expressão vocal; Suinos; Suinocultura; Mineração de dados; Data mining; Vocalization; Pig farming.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/handle/doc/932708
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Understanding vocalization might help to assess stressful conditions in piglets. Repositório Alice
CORDEIRO, A. F. da S.; NÄÄS, I. de A.; OLIVEIRA, S. R. de M.; VIOLARO, F.; NEVES, D. P..
Abstract: Assessing pigs? welfare is one of the most challenging subjects in intensive pig farming. Animal vocalization analysis is a noninvasive procedure and may be used as a tool for assessing animal welfare status. The objective of this research was to identify stress conditions in piglets reared in farrowing pens through their vocalization. Vocal signals were collected from 40 animals under the following situations: normal (baseline), feeling cold, in pain, and feeling hunger. A unidirectional microphone positioned about 15 cm from the animals? mouth was used for recording the acoustic signals. The microphone was connected to a digital recorder, where the signals were digitized at the 44,100 Hz frequency. The collected sounds were edited and analyzed....
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Suino; Algoritmo; Suinocultura; Suino; Swine; Young animals; Piglets; Algorithms; Mathematical models.
Ano: 2013 URL: http://www.alice.cnptia.embrapa.br/handle/doc/966129
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