Grace Viteri–Guzmán

Simulation–based detection of bovine health anomalies using machine learning and synthetic IoT sensor data

The objective of this research was to evaluate a machine learning– based methodology for the early detection of health abnormalities in cattle by analyzing physiological and feeding behavior variables obtained from IoT sensors in real–world settings. For this research, a synthetic dataset of body temperature, heart rat...