IoT ULEAM:
Multidisciplinary Research with IoT and AI
Web platform that enables real-time data acquisition and analysis, leveraging the potential of the Internet of Things (IoT) and Artificial Intelligence (AI).
Its objective is to provide the academic community with a flexible tool to address complex challenges through the collection and advanced analysis of data from diverse sources.
Comprehensive Data Visualization
The platform offers an intuitive dashboard that displays real-time sensor data through subscriptions, giving researchers immediate access to crucial information for their studies.
In addition, IoT ULEAM includes a geospatial component with an interactive map that presents a historical summary of the data associated with each location, allowing for contextual and spatial analysis of the studied phenomena.
Impact and Applications
This project promotes innovative solutions to social, environmental, and productive challenges through the integration of smart technologies.
Collaborative Research
Predictive AI
Sustainable IoT Technology
Informed Decision Making
🔍 Multidisciplinary Approach
The platform facilitates collaboration between different areas of knowledge, promoting research that integrates science, technology, and sustainability.
🌱 Sostenibilidad como Eje
The rational use of resources and the promotion of sustainable practices are at the heart of the project, especially in sectors such as agriculture, aquaculture, and the environment.
📡 IoT + AI for Better Decision Making
Intelligent data capture and analysis enable the prediction of key variables and the making of more accurate and efficient, evidence-based decisions.
🤝 Research Platform
IoT ULEAM acts as a tool that connects researchers, sensors, and algorithms, accelerating the generation of knowledge and practical solutions.
News and Updates
Stay up to date with the latest developments, events, and achievements of the ULEAM IoT ecosystem.
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