Creation of the centre of excellence in smart forestry

Widening ParticipationHORIZON-CSAID: 101059985
EC Contribution
€99,000
Consortium Size
7 orgs
Start Year
2023
Summary

The overall objective of the FOREST 4.0 project is to establish a Centre of Excellence (CoE) to transform the forest environment monitoring, data acquisition, and analysis, and capture value from the collected data by implementing innovations based on artificial intelligence (AI) and the Internet of Things (IoT). The CoE will be founded by two Lithuanian partners (Vytautas Magnus University - VMU) and Kaunas University of Technology - KTU) teaming with a leading counterpart from Sweden (Linnaeus University - LNU) and three networking and business development partners (InteriorCluster from Sweden, ART21 UAB and AgriFood Lithuania Digital Innovation Hub from Lithuania). The CoE will be created as a new legal entity and will comprise leading researchers from different domains that will implement an ambitious long term research and innovation strategy. The CoE will also provide innovation services to businesses and host a startup incubator. The impact of the project will be a rise in research excellence and reputation in forestry management and AI/IoT technologies for Lithuania; the constitution of a critical mass of excellent international researchers in the targeted domains; the production of a growing amount of research (publications) and innovation (patents, new technologies, startups) outputs; and expanding international networks for the Lithuanian partners.

Consortium (7)

Project Results (16)

Source: CORDIS, the EU research results database.

Publications (6)
Enhancing Forest Security through Advanced Surveillance Applications
Forests· 2025DOI
Danny Buchman, Tomas Krilavičius, Rytis Maskeliūnas
Forestry Scenario Modelling: Qualitative Analysis of User Needs in Lithuania
Forests· 2025DOI
Daiva Juknelienė, Michailas Palicinas, Jolanta Valčiukienė, Gintautas Mozgeris
A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds
Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)· 2024DOI
Robertas Damaševičius, Rytis Maskeliunas, Ahmad Qurthobi
d'Alembert Convolution for Enhanced Spatio-Temporal Analysis of Forest Ecosystems
Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)· 2024DOI
Rytis Maskeliūnas, Robertas Damaševičius
Digital transformation of the future of forestry: an exploration of key concepts in the principles behind Forest 4.0.
Frontiers in forests and global change· 2024DOI
Damaševičius, Robertas, Mozgeris, Gintautas ir Maskeliūnas, Rytis
Sap Flow Density of the Prevailing Tree Species in a Hemiboreal Forest under Contrasting Meteorological and Growing Conditions
Forests· 2024DOI
Algirdas Augustaitis, Ainis Pivoras
Deliverables (9)
Other Results (1)
Periodic Reporting for period 1 - Forest 4.0 (Creation of the centre of excellence in smart forestry)