ManglArt AI is the computational framework developed within the the Sustainable Biodiversity Program (BIO-SOS, 2021–2050). through Unsupervised Machine Learning, the biosignals that dendrometer sensors capture from mangroves.
The Program provides the institutional, scientific, and territorial context; ManglArt AI provides the analytical layer that turns those data into knowledge for research, environmental education, and decision-making.
To interpret mangrove biosignals through Artificial Intelligence and high-resolution data, advancing environmental education and strengthening the foundations for a predictive conservation model for Ecuador's coastal ecosystems.
To position Ecuador as a reference in intelligent ecological monitoring, consolidating urban mangroves and natural reserves as the most important living laboratories in the region.
Mangroves fulfill essential functions for coastal protection, biodiversity, and the well-being of communities. Monitoring them makes it possible to understand the changes they undergo and strengthen conservation efforts.
Mangroves continuously respond to their environment by expanding and contracting their tissues throughout the day.
ManglArt AI analyzes thousands of records with Unsupervised Machine Learning to recognize the tree's predominant behavior and flag the days that deviate from that pattern for physiological and environmental analysis.
Unlike traditional methods, it does not rely on fixed thresholds: it learns directly from the ecosystem's behavior.
This research presents the scientific and computational contribution of ManglArt AI within the Sustainable Biodiversity Program, applying unsupervised machine learning to the analysis of biosignals obtained from mangroves.
First place. Our students used the database from our dendrometer sensors to solve global challenges, winning this world-class hackathon.
Research accepted for presentation: a computational framework based on Unsupervised Machine Learning for the dynamic inference of the water status of Rhizophora × harrisonii.
Submission to the QS Reimagine Education Awards 2026 in the Sustainability Education Action category.
The Program not only met its scientific objectives but also transformed the perception of the mangrove: shifting it from a purely extractive resource to a fundamental pillar of climate and biotechnological stability for Ecuador.
Here, artificial intelligence is not the end; it is the means. We have succeeded in giving the tree a voice in the face of climate threats, and in doing so, we are preparing the new generation to learn to listen to it and take action.
