ISISTAN 23985
INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Unidad Ejecutora - UE
artículos
Título:
Advances in Automatic Detection of Body Condition Score of Cows: A Mini Review
Autor/es:
MAURICIO ARROQUI; DANIEL JATIP; CLAUDIO MACHADO; JUAN RODRÍGUEZ ALVAREZ; JUAN TOLOZA; ALEJANDRO ZUNINO; PABLO MANGUDO; JUAN MANUEL RODRIGUEZ; CRISTIAN MATEOS
Revista:
Journal of Dairy, Veterinary & Animal Research
Editorial:
MedCrave Group.
Referencias:
Año: 2017 vol. 5 p. 149 - 151
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.
