Towards building a predictive model for remote river quality monitoring for mining sites

• Main Authors: Monje, Jose Claro N, Estuar, Ma. Regina Justina E, Espiritu, Emilyn Q, Enriquez, Erwin P, Oppus, Carlos M, Coronel, Andrei, Guico, Maria Leonora
• Format: text
• Published: Archīum Ateneo 2016
• Subjects: Sensors; Decision trees; Rivers; Monitoring; Data mining; Predictive models; Cities and towns; Computer Sciences; Databases and Information Systems; Electrical and Computer Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/29; https://ieeexplore.ieee.org/document/7373128
• Institution: Ateneo De Manila University

Most, if not all, mining sites in the Philippines are not equipped with expensive or modern monitoring tools to check for quality of soil, water and air elements which are relevant to ensure safety and wellness of miners. This study focused on the development of low cost mobile electronic sensors to...