ECO-LÓGICA: A prototype for carbon dioxide pollution level prediction

This paper describes the ECO-LÓGICA prototype, a useful tool for the decision-making process related to air pollution. The ECO-LÓGICA system can generate a wide range of reports, including those based on real data collected through the monitoring of carbon dioxide emissions. Additionally, it employs a specialized neural network to predict future air pollution values resulting from these emissions. The performance of the prototype was validated using data supplied by three Colombian environmental monitoring stations. The applied metrics reach values close to the maximums, demonstrating adequate performance.