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.
Bottom-Up Action is a participatory and adaptive methodology designed to support community-based environmental monitoring. It unfolds in four interconnected phases that guide communities from local engagement to autonomous management. The process begins with understanding the Territory, where local knowledge is valued through participatory diagnosis, community mapping, and leadership training. This lays the foundation for Participatory Decision-Making, in which community members engage in the co-design of tools, prototype validation, and inclusive consultations to shape strategies collectively.
Next comes Capacity-Building, focused on providing continuous training, promoting feedback mechanisms, and facilitating knowledge exchange between communities to strengthen their technical and organizational capabilities. Finally, the methodology culminates in Community Empowerment, where communities assume independent management through a sustainability plan, self-management structures, and the establishment of external alliances with NGOs and government entities.
This approach combines citizen science and digital technology, enabling communities to make informed decisions and foster long-term environmental stewardship.
Challenges
Rural areas face critical environmental challenges due to land degradation, water scarcity, and climate change pressures. These problems have a direct impact on socio-productivity and the small-scale economy, affecting the stability of the agricultural sector and limiting rural development. This increases the need for a tool that continuously monitors and generates early warnings of changes in environmental quality. EcoMonitor System is being implemented in response to these needs, helping users to make decisions based on accurate data and creating synergies with local governance.
Solutions
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.
Value
The EcoMonitor System is built upon the principles of Community-Based Monitoring (CBM), merging citizen science—through digital forms collecting qualitative environmental data—with IoT sensor networks that ensure real-time, quantitative insights. Designed to empower rural and agricultural communities, the platform offers accurate, accessible, and dynamic data to support sustainable decision-making. By combining machine learning models, interactive dashboards, and real-time warning systems, EcoMonitor facilitates early risk detection and adaptive responses to environmental threats. Additionally, it delivers custom web modules and data-sharing capabilities tailored to the needs of agricultural stakeholders, local governments, and researchers. Through these features, the system enhances resource efficiency, strengthens climate resilience, and supports collaborative environmental governance. With EcoMonitor, Novamanto reaffirms its commitment to sustainability, technological innovation, and community empowerment.
Project details
Client ![]()
Maquita Ecuador Study Case. Co-founded: Know-How Partnership
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Service provided by Novamanto ![]()
Concept, methodology, data architecture, and analysis algorithms
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Databiting ![]()
IOT sensor implementation and real-time data capture
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Frank Tech Soluciones ![]()
Web application, user interface, and alert system development
