Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1171429
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dc.contributor.authorZAFALON, L. F.
dc.contributor.authorSANTANA, R. C. M.
dc.contributor.authorSANTOS, M. V.
dc.contributor.authorALVES, T. C.
dc.contributor.authorGARCIA, A. R.
dc.contributor.authorNICIURA, S. C. M.
dc.contributor.authorCARACUSCHANSKI, F. D.
dc.date.accessioned2025-01-13T13:47:24Z-
dc.date.available2025-01-13T13:47:24Z-
dc.date.created2025-01-13
dc.date.issued2024
dc.identifier.citationIn: ANNUAL MEETING OF THE EUROPEAN FEDERATION ON ANIMAL SCIENCE, 75., 2024, Florence. Book of abstracts. Roma: European Federation of Animal Science, 2024.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1171429-
dc.descriptionThis study assessed the potential of infrared thermography for predicting bacterial pathogens causing subelinical mastitis in pasture-raised cows using machine leaming techniques in an automatic milking system.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectBacterial pathogens
dc.subjectSubclinical mastitis
dc.subjectAutomatic milking system
dc.subjectS aureus
dc.titleUse of infrared thermography for predicting the infectious etiology of subclinical bovine mastitis in a robotic milking system using machine learning.
dc.typeResumo em anais e proceedings
dc.subject.nalthesaurusMastitis
dc.format.extent2p. 367.
riaa.ainfo.id1171429
riaa.ainfo.lastupdate2025-01-13
dc.contributor.institutionLUIZ FRANCISCO ZAFALON, CPPSE; RAUL COSTA MASCARENHAS SANTANA, CPPSE; MARCOS VEIGA SANTOS, UNIVERSIDADE DE SÃO PAULO; TERESA CRISTINA ALVES, CPPSE; ALEXANDRE ROSSETTO GARCIA, CPPSE; SIMONE CRISTINA MEO NICIURA, CPPSE; FERNANDO DAVID CARACUSCHANSKI, UNIVERSIDADE DE SÃO PAULO.
Appears in Collections:Resumo em anais de congresso (CPPSE)

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