Environmental pollution is one of the most critical challenges facing the world today, with direct effects on public health, ecosystems, and climate change. In particular, the mismanagement of water resources and solid waste has caused significant environmental impacts, exacerbated by the lack of infrastructure and effective regulatory controls. In the context of aquifers and surface water bodies, as well as waste disposal sites, methane emissions and chemical pollution pose major threats not only to ecological balance but also to the quality of life of nearby communities. In this context, Community-Based Monitoring (CBM) emerges as a key strategy to empower communities, enabling them to take an active role in monitoring their environment. CBM not only fosters citizen participation but also integrates modern technologies, such as sensors, digital platforms, and mobile applications, with local community knowledge. This combination of citizen science and technology has helped overcome traditional barriers, transforming the way communities interact with their environment and make informed decisions regarding environmental management.

EcoMonitor System is an environmental monitoring system based on citizen science, IoT sensors, and AI models for the sustainable management of natural resources. EcoMonitor System is designed to empower rural communities to monitor their environment, facilitating the identification and mitigation of environmental threats. Combining real-time data, IoT sensors, digital forms, and an intuitive interface, the platform allows users to monitor the quality of essential resources and detect significant changes in the ecosystem.

Community-Based Monitoring (CBM) is a methodological approach that allows local communities to actively participate in the collection of environmental data, the analysis of that information, and the decision-making regarding the management of their natural resources. It is based on the direct participation of community members, which fosters empowerment and environmental awareness while generating reliable and useful data for the local management of soils, water, and biodiversity.