Digital Twin-sustained 4D ecological monitoring of restoration in fishery depleted areas

DIGI4ECO

Digital Twin-sustained 4D ecological monitoring of restoration in fishery depleted areas

Digital twin technology for ecological monitoring The rapid advancement of digital technologies such as digital twins, AI and machine learning has opened up promising avenues for ecological actions, including conservation, research and restoration. These technologies offer improved monitoring capabilities that can enhance our understanding of ecological processes and biodiversity. The EU-funded DIGI4ECO project aims to develop a digital twin-sustained 4D ecological monitoring system made by networks of robotic platforms, tailored for restoration efforts in fishery-depleted areas. Additionally, the project intends to enhance data flow safety, security and efficiency by developing innovative methodologies and providing toolsets to ensure data trustworthiness. Finally, DIGI4ECO aims to ensure accessibility of the data and demonstrate and enhance the effectiveness of its system.

March, 2024

February, 2028

9489000

1180000

EU /

Sascha Flögel

Spanish National Research Council (CSIC), Spain
Coronis Computing SL, Spain
Marche Polytechnic University, Italy
Atlantic Technology University, Ireland
Tuco Yacht Vaerft APS, Denmark
Polytechnic University of Catalonia, Spain
Edex - Educational Excellence Corporation Limited, Cyprus
University of Gothenburg, Sweden
GRAAL Tech SRL, Italy
Stazione Zoologica Anton Dohrn, Italy
Spartan Space, France
Space Applications Services NV, Belgium
National Centre of Scientific Research "Demokritos", Greece
Robust Systems Engineering SCC LTD, Cyprus
Stratagem Energy LTD, Cyprus
Marine Institute, Ireland