Bridging AI With IoT to Provide Environmental Intelligence: A Comprehensive Approach to Sustainable Monitoring and Data-Driven Decision Making

The Morellino project is founded by the "PROMETEO – CIPROM 2023" Programme of the “Conselleria d'Innovació, Universitats, Ciència i Societat Digital” for "excellent research groups," whose purpose is to grant sponsorships aimed at identifying and supporting excellent R&D&I (Research, Development, and Innovation) groups in the Valencian Community, enhancing their international visibility and knowledge transfer.

The project will run from September 1, 2024, to August 31, 2028.

Members

  1. Pietro Manzoni (IP)
  2. Sara Blanc Clavero (IP)
  3. Juan Carlos Cano Escribá
  4. Carlos Tavares Calafate
  5. José María Cecilia Canales
  6. Enrique Hernández Orallo
  7. Ángel Esteban Martín Furones
  8. José Carlos Periñán Pascual
  9. Sara Ibañez Asensio

Summary of the project:

Environmental sensing involves long-term monitoring of ecological, meteorological, and hydrological variables to inform trends, benchmarks, and policy decisions. The shift towards “environmental intelligence” requires integrating AI with the Internet of Things (IoT), which presents challenges in terms of communication, processing, latency, and reliability. The MORELLINO project aims to address these challenges by combining AI, TinyML, and edge computing, optimizing AI models for resource-limited IoT devices without sacrificing performance. TinyML's energy efficiency, real-time data processing, and secure communication protocols are crucial concerns for achieving reliable and low-latency environmental intelligence applications.

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MORELLINO will address these issues by rethinking the communication and processing architecture, using case studies in coastal lagoons, such as the Mar Menor (SMARTLAGOON project - https://www.smartlagoon.eu/) and La Mata-Torrevieja lagoon (CHANTWIN project). These projects focus on sustainable development and environmental monitoring through digital and ecological indicators.

Additionally, MORELLINO’s work aligns with the REMARKABLE project (https://remarkable.ulusofona.pt/), which seeks to close the urban-rural gap using IoT and machine learning solutions for rural areas. REMARKABLE tackles diverse applications like wildlife management, pollution control, and rural tourism, demonstrating a shared commitment to advancing IoT and AI for sustainable environmental monitoring.