INVESTIGADORES
MATEOS DIAZ Cristian Maximiliano
artículos
Título:
Advances in automatic detection of body condition score of cows: a mini review
Autor/es:
JUAN RODRIGUEZ ALVAREZ; MAURICIO ARROQUI; PABLO MANGUDO; JUAN TOLOZA; DANIEL JATIP; JUAN MANUEL RODRIGUEZ; ALEJANDRO ZUNINO; CRISTIAN MATEOS; CLAUDIO MACHADO
Revista:
Journal of Dairy, Veterinary & Animal Research
Editorial:
MedCrave Group
Referencias:
Año: 2017
ISSN:
2377-4312
Resumen:
BCS is a method to estimate body fat stores and accumulated energy balance of cows. This value influences productivity, reproduction, and health of cows. Therefore, it is important to monitor BCS to achieve a better animal response. In practice, this task is performed by expert scorers mainly visually, and could vary between scorers and be time-consuming. For this reason, several studies have tried to automate BCS by applying image analysis and machine learning techniques. An overview of selected studies is provided in this mini review.
