INVESTIGADORES
ZUNINO SUAREZ Alejandro Octavio
artículos
Título:
Review and analysis of computational techniques and methods for body condition score estimation on cows
Autor/es:
RODRIGUEZ ALVAREZ, J.; ARROQUI, M.; MANGUDO, P.; TOLOZA, J.; JATIP, D.; RODRIGUEZ, J. M.; ZUNINO, A.; MATEOS, C.; MACHADO, C.
Revista:
SADIO Electronic Journal of Informatic and Operation Research
Editorial:
SOCIEDAD ARGENTINA DE INFORMÁTICA E INVESTIGACIÓN OPERATIVA
Referencias:
Lugar: Buenos Aires; Año: 2019 vol. 17 p. 48 - 48
ISSN:
1514-6774
Resumen:
BCS (Body Condition Score) is a method used to estimate bodyfat reserves and accumulated energy balance of cows. BCS heavily influencesmilk production, reproduction, and health of cows. Therefore, it is important tomonitor BCS to achieve better animal response, but this is a time-consuming andsubjective task performed oftentimes visually by expert scorers. These problemsare the motivation behind several studies, which have tried to automate BCS ofdairy cows by applying image analysis and machine learning techniques. Thiswork analyzes these studies pointing out their main advantages and drawbacks,which allow us in turn to identify new research and development opportunities toimprove overall automatic BCS estimation.
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