Smart Campus, Internet of Things, Automatic Weather Station, Comparison
Abstract
The training of engineers in Brazil has evolved through various stages of regulation focused on competency-based learning. Consequently, the smart campus concept is gaining prominence globally, leveraging technology and infrastructure to enhance educational, research, and operational processes. In this context, the present work details the development of an automated meteorological station (AWS) installed at the Nova Gameleira Campus of CEFET-MG. Comparative statistical analyses were conducted using statistical precision indices (R²). The high statistical indices for all compared data indicated homogeneity in the two series, thus confirming the success of the implemented EMA.
