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HEStaff exchange2023–2026

REMARKABLE · Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated Learning

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2023-01-01 → 2026-12-31
EU contribution
€1,145,400
Participants
18
Scheme
HORIZON-TMA-MSCA-SE

Lines connect the coordinator with its partners.

Results in brief

Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated Learning

The REMARKABLE project addresses a critical global challenge: reducing the urban-rural digital divide by enabling transformative digital transformation in rural areas through Internet of Things (IoT) and Machine Learning (ML) technologies. Rural regions, which cover significant portions of Europe and Africa, suffer from limited connectivity, stalling technological advancement and economic opportunities. By leveraging IoT and ML tools, the project aims to extract actionable insights from environmental data to improve societal and economic outcomes in these regions. The African continent is highlighted for its potential impact due to its vast uncultivated agricultural land and underdeveloped digital infrastructure. At the core of REMARKABLE’s vision is the development of energy-efficient and secure IoT/ML systems tailored for deep rural applications. These systems will support diverse use cases, such as wildlife conservation, precision agriculture, and pollution monitoring. The project is built upon an interdisciplinary collaboration between academic and industrial partners from Europe and Africa, ensuring holistic and innovative solutions. Demonstration sites across both continents will serve as real-world testbeds for deploying and validating these technologies. The project’s pathway to impact focuses on fostering sustainable research and innovation ecosystems. By integrating state-of-the-art IoT sensors, ultra-wide area networks, and distributed data analytics models, REMARKABLE aims to bring tangible benefits to rural communities. It will enable farmers to improve yields through precision agriculture, safeguard endangered wildlife, and enhance rural tourism experiences. Furthermore, by developing partnerships with industrial stakeholders, the project ensures its outputs have direct routes to commercialization, driving both technological advancements and economic growth. Finally, REMARKABLE prioritizes capacity building and knowledge exchange through interdisciplinary training, joint research, and public outreach. By involving local stakeholders and leveraging the unique geographical and socio-economic characteristics of African and European regions, the project ensures its sustainability and relevance. These initiatives will strengthen long-term research collaborations, empower a new generation of researchers with interdisciplinary expertise, and foster innovative solutions that address pressing global challenges.

Data: CORDIS, © European Union

Project objective

Internet of Things (IoT) technology combined with complementary support for data analytics is the corner stone of today's digital transformation. The societal and economic impact of IoT/ML systems in urban and suburban areas significantly outpaces the one in rural areas due to a limited reach of connectivity infrastructure. To reverse further widening of the urban-rural gap, we need to bring efficient and affordable IoT/ML solutions to deep rural areas, reaching out to applications and use cases ranging from wildlife management, rural tourism, livestock monitoring, water and air pollution control, and others. By identifying main gaps in connectivity and affordable data analytics and through interleaved research, development and validation in a real-world setting, REMARKABLE will address the challenge of bringing IoT and data analytics systems a step closer to seamless, energy efficient and secure deployment in rural ares. The consortium composed of six European academic partners, five companies and five associated partners representing leading academic groups from Africa, will focus on research, development, innovation and demonstration across five use cases with six demonstration sites located in rural areas across the European and African continent. The inter-disciplinary nature of the programme provides a unique opportunity for investigation of smart sensing, IoT and data science technology from non-traditional, holistic perspectives leading to new scientific achievements and innovations. Project outputs like smart IoT sensors and devices, rural IoT digital twining platforms, ultra wide-area IoT networks, novel data analytics models and architectures will find their routes to the market via active industrial partners. The project will impact EU workforce market via new interdisciplinary skills for young contributors and form new long-lasting networks of European and African institutions in the area of sensing, IoT, big data analytics and rural entrepreneurship.

Original text from CORDIS.

Participants

  • PDM E FC-PROJECTO DESENVOLVIMENTO MANUTENCAO FORMACAO E CONSULTADORIA SA · LISBOACoordinatorPortugal
  • BEYOND VISION - SISTEMAS MOVEIS AUTONOMOS DE REALIDADE AUMENTADA S A · Alverca do RibatejoPortugal
  • COFAC COOPERATIVA DE FORMACAO E ANIMACAO CULTURAL CRL · LISBOAPortugal
  • DRUSTVO ZA KONSALTING, RAZVOJ I IMPLEMENTACIJU INFORMACIONIH I KOMUNIKACIONIH TEHNOLOGIJA DUNAVNET DOO NOVI SAD · NOVI SADSerbia
  • FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA · MinnaNigeria
  • IONIAN UNIVERSITY · CORFUGreece
  • PAN-ATLANTIC UNIVERSITY FOUNDATION · LAGOSNigeria
  • PDM ESPAÑA PROYECTOS Y SOLUCIONES INFORMATICAS SL · MADRIDSpain
  • STELLENBOSCH UNIVERSITY · StellenboschSouth Africa
  • THE MANCHESTER METROPOLITAN UNIVERSITY · MANCHESTERUnited Kingdom
  • TIWAKIKI CONSULTING LIMITED · MANCHESTERUnited Kingdom
  • UNITED NATIONS EDUCATIONAL SCIENTIFIC AND CULTURAL ORGANIZATION · ParisFrance
  • UNIVERSIDAD DE ALICANTE · AlicanteSpain
  • UNIVERSITAT POLITECNICA DE VALENCIA · ValenciaSpain
  • UNIVERSITE EURO-MEDITERRANEENNE DE FES · FesMorocco
  • UNIVERSITY OF RWANDA · KigaliRwanda
  • UNIVERZITET U NOVOM SADU FAKULTET TEHNICKIH NAUKA · Novi SadSerbia
  • ZOETIS BELGIUM SA · LOUVAIN LA NEUVEBelgium

Links

Data: CORDIS, © European Union