EcoMonitor System

This strategic partnership enables the integration of innovative technologies for data-driven decision-making, ensuring scalability, reliability, and user-centric solutions.

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.

 

The EcoMonitor System offers an integrated and intelligent solution for real-time environmental monitoring and management. It features a smart system for the real-time analysis of environmental parameters in water, soil, and vegetation. Leveraging AI models, the platform processes and predicts ecosystem conditions, delivering actionable insights through an interactive dashboard and an automated alert system. EcoMonitor enables quality monitoring of natural resources, including the detection of pollutants and other key indicators. It also provides real-time socio-environmental alerts, helping communities respond rapidly to critical changes. With detailed visual reporting, users can assess sustainability trends and support evidence-based decision-making. Its scalable data management architecture allows for efficient handling of large datasets, making it suitable for territories with multiple monitoring points

Client

Service Provided by

Maquita Ecuador Study Case

Co-founded: Know-How Partnership

Year: 2024

Concept Metology, Data architecture and analysis algorithms

IoT sensor implementation and real-time data capture

Web application, user interface, and alert system development