Title:	Use of infrared thermography for predicting the infectious etiology of subclinical bovine mastitis in a robotic milking system using machine learning.
Authors:	ZAFALON, L. F. SANTANA, R. C. M. SANTOS, M. V. ALVES, T. C. GARCIA, A. R. NICIURA, S. C. M. CARACUSCHANSKI, F. D.
Affiliation:	LUIZ 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.
Date Issued:	2024
Citation:	In: ANNUAL MEETING OF THE EUROPEAN FEDERATION ON ANIMAL SCIENCE, 75., 2024, Florence. Book of abstracts. Roma: European Federation of Animal Science, 2024.
Pages:	p. 367.
Description:	This 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.
NAL Thesaurus:	Mastitis
Keywords:	Bacterial pathogens Subclinical mastitis Automatic milking system S aureus
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CPPSE)