dc.creatorMoura, DJ
dc.creatorSilva, WT
dc.creatorNaas, IA
dc.creatorTolon, YA
dc.creatorLima, KAO
dc.creatorVale, MM
dc.date2008
dc.dateNOV
dc.date2014-11-14T17:33:20Z
dc.date2015-11-26T17:15:57Z
dc.date2014-11-14T17:33:20Z
dc.date2015-11-26T17:15:57Z
dc.date.accessioned2018-03-29T00:04:11Z
dc.date.available2018-03-29T00:04:11Z
dc.identifierComputers And Electronics In Agriculture. Elsevier Sci Ltd, v. 64, n. 1, n. 11, n. 18, 2008.
dc.identifier0168-1699
dc.identifierWOS:000259462800003
dc.identifier10.1016/j.compag.2008.05.008
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/81012
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/81012
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/81012
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1282171
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionThe analysis of animal vocalization allows the interpretation of stress pattern in a non-invasive way, and it may be used to assess welfare as well as health status and social adaptation. This paper presents the development of software to monitor and analyze distinct sounds emitted by piglets correlating the noise response with levels of stress for assessing welfare. The software was developed using Delphi5. Through the component UwaveIn the sound was recorded with an electronic microphone and set to a PC hardware that registered the signal of amplitude noise intensity, expressed in decibel (dB), converting them into bytes. Fourier Transform was used to describe the sound spectrum and transform it into frequency and intensity. Validation of the software was done in a commercial swine farm using piglets from sows' nursery. Five examples of vocalization were studied related to distinct levels of stress (fear and alertness) due to regular management procedures. The real time monitoring allowed the detection of piglet stress exposure through the surface point polynomial adjustment. The acoustic signal recorded in the software could be partitioned allowing an evaluation of the sonograph through time. (C) 2008 Elsevier B.V. All rights reserved.
dc.description64
dc.description1
dc.description11
dc.description18
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationComputers And Electronics In Agriculture
dc.relationComput. Electron. Agric.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectcomputer monitoring
dc.subjectstress assessment
dc.subjectsound processing
dc.subjectSus-scrofa
dc.subjectPigs
dc.subjectCastration
dc.subjectWelfare
dc.subjectComplex
dc.subjectCalls
dc.titleReal time computer stress monitoring of piglets using vocalization analysis
dc.typeArtículos de revistas


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