Use of infrared thermography for predicting the infectious etiology of subclinical bovine mastitis in a robotic milking system using machine learning.
Use of infrared thermography for predicting the infectious etiology of subclinical bovine mastitis in a robotic milking system using machine learning.
Author(s): ZAFALON, L. F.; SANTANA, R. C. M.; SANTOS, M. V.; ALVES, T. C.; GARCIA, A. R.; NICIURA, S. C. M.; CARACUSCHANSKI, F. D.
Summary: 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.
Publication year: 2024
Types of publication: Abstract in annals or event proceedings
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