Creation of the centre of excellence in smart forestry

Informacje na temat projektu

Forest 4.0

Identyfikator umowy o grant: 101059985

DOI

10.3030/101059985

Data podpisania przez KE 26 Kwietnia 2023

Data rozpoczęcia 1 Maja 2023

Data zakończenia 30 Kwietnia 2029

Finansowanie w ramach

• Widening participation and spreading excellence

Koszt całkowity

€ 9 900 000,00

Wkład UE

€ 9 900 000,00

Koordynowany przez

VYTAUTO DIDZIOJO UNIVERSITETAS
Lithuania

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Data Management Plan (1)

Data management plan

Produced data management plan.

Documents, reports (7)

Strategy and policies for Forest 4.0 human resources

The Director for Human Resources (HR) will be responsible for writing the HR strategy and policies and proposing them to the GB for validation. They will include:Strategy: HR management; HR planning, i.e. planning of the recruitments based on the CoE’s operational needs; Job descriptions; Salaries and benefits, rewards and compensation; Working conditions and environment.Policies: Employee rights and responsibilities; Equal employment opportunities including gender equality; HR retention; Training and talent management; Risk management, safety, hygiene, and security; Performance management and appraisal; Mobility; Relationships with unionsThe final strategy and policies approved by the GB will be published as deliverable 2.1.

Innovation support service programme

A team led by the Director for Innovation, will support research teams to engage in innovation activities.. It will be composed of individuals with backgrounds in industry and the public sector who have significant experience in research and innovation funding. The team will also put an emphasis on knowledge creation between academic and businesses, and the creation and attraction of ICT business expertise, through joint infrastructure utilisation, end-user involvement in research, skills transfer through training of industrial actors.

Overall Design of the Acceleration Programme and Planning

Overall Design of the Acceleration Programme and Planning (M10)

CoE’s 5-year strategic plan including CoE KPIs and targets

D1.5: CoE’s 5-year strategic plan (M12): details roadmap towards KPIs to be reached by the end of the project, assigns respective responsibilities to newly recruited management team.

Implementation of methodological framework for research projects

Implementation of methodological framework for research projects (M12)

Report on development of smart forestry open data infrastructure

Report on development of smart forestry open data infrastructure (M12)

Infrastructure and equipment policy

A comprehensive policy for infrastructure and equipment management will therefore be prepared by Month 12 (deliverable 3.1) and implemented afterwards by the Director for Operations.

Websites, patent fillings, videos etc. (1)

Dissemination and communication plan

An initial version of the dissemination, exploitation, and communication (DEC) plan –will be produced by M04 (deliverable 6.1). It will define the different measures to disseminate the project results, exploit them, or communicate about them. Target audiences of these measures will be described. Key performance indicators (KPIs) will be chosen, and target values defined for the first year of the project. Every year, the performance of the KPIs will be compared to the target values. Potential corrective measures will be decided for the coming year based on the performance of the previous year. These reviews and plan updates will be provided in the project progress reports by a D&C committee established on month 02. For the final review, a strategy for exploiting the project results after completion will be produced.

Publikacje

Peer reviewed articles (31)

Forest 4.0 – Research Infrastructure to Support the Operationalization of Digitalization in Maintenance and Management of Forest Ecosystems

Autorzy: Gintautas Mozgeris; Marius Aleinikovas; Algirdas Augustaitis; Eglė Gerulaitienė; Donatas Jonikavičius; Virginija Kargytė; Gabrielė Kasputytė; Tomas Krilavičius; Nerijus Kupstaitis; Arnas Matusevičius; Silvija Misailovė-Ribokė; Martynas Narmontas; Rasa Vaitkevičiūtė
Opublikowane w: ARPHA Conference Abstracts, 2025, ISSN 2603-3925
Wydawca: Pensoft Publishers
DOI: 10.3897/ACA.8.E151306

Tree Segmentation from Low-Resolution Digital Orthophotos using a Hybrid Deep Learning Model

Autorzy: Irfan Abbas; Robertas Damaševičius; Rytis Maskeliūnas; Muhammad Abdullah Sarwar
Opublikowane w: Annals of Computer Science and Information Systems, 2025, ISSN 2300-5963
Wydawca: Polish Information Processing Society (PTI) / FedCSIS
DOI: 10.15439/2025F8182

Optimising the wood supply chain for enhanced furniture industry efficiency

Autorzy: Robertas Damaševičius, Rytis Maskeliūnas
Opublikowane w: Supply Chain Forum: An International Journal, Numer 26, 2025, ISSN 1625-8312
Wydawca: Informa UK Limited
DOI: 10.1080/16258312.2025.2456451

Distributed Timber Trading Mechanism Based on Blockchain Smart Contracts

Autorzy: Robertas Damaševičius, Rytis Maskeliūnas
Opublikowane w: Transactions on Emerging Telecommunications Technologies, Numer 36, 2025, ISSN 2161-3915
Wydawca: Wiley
DOI: 10.1002/ETT.70194

Real-time trajectory modelling of the mean tree volume in a forest stand through a nonsymmetric diffusion process analogy

Autorzy: Rupšys, P.
Opublikowane w:  Contemporary Mathematics, 2026, t. 7, nr. 1, ISSN 2705-1056
Wydawca: Contemporary Mathematics
DOI: 10.37256/CM.7120267962

ForestResU-Net: a hybrid deep learning model for low-resolution forest segmentation using digital orthophotos and RGB imagery

Autorzy: Irfan Abbas; Rytis Maskeliūnas; Ameer Hamza; Robertas Damaševičius
Opublikowane w: International Journal of Remote Sensing, 2025, ISSN 1366-5901
Wydawca: Taylor & Francis
DOI: 10.1080/01431161.2025.2601194

Modeling Forest Regeneration Dynamics: Estimating Regeneration, Growth, and Mortality Rates in Lithuanian Forests

Autorzy: Robertas Damaševičius, Rytis Maskeliūnas
Opublikowane w: Forests, Numer 16, 2025, ISSN 1999-4907
Wydawca: MDPI AG
DOI: 10.3390/F16020192

Journal of Sustainable Forestry

Autorzy: Robertas Damaševičius, Rytis Maskeliūnas
Opublikowane w: Journal of Sustainable Forestry, Numer 44, 2025, ISSN 1054-9811
Wydawca: Food Products Press
DOI: 10.1080/10549811.2025.2513220

Diffusion Mechanisms for Both Living and Dying Trees Across 37 Years in a Forest Stand in Lithuania’s Kazlų Rūda Region

Autorzy: Edmundas Petrauskas, Petras Rupšys
Opublikowane w: Symmetry, Numer 17, 2025, ISSN 2073-8994
Wydawca: MDPI AG
DOI: 10.3390/SYM17020213

Modelling Multi-echelon Forestry Supply Chain as a Neutrosophic Sequential Game

Autorzy: Robertas Damaševičius; Arianit Kurti; Rytis Maskeliūnas
Opublikowane w: Process Integration and Optimization for Sustainability, 2026, ISSN 2509-4246
Wydawca: Springer
DOI: 10.1007/S41660-025-00662-0

Digital transformation of the future of forestry: an exploration of key concepts in the principles behind Forest 4.0

Autorzy: Robertas Damaševičius, Gintautas Mozgeris, Arianit Kurti, Rytis Maskeliūnas
Opublikowane w: Frontiers in Forests and Global Change, Numer 7, 2024, ISSN 2624-893X
Wydawca: Frontiers Media SA
DOI: 10.3389/FFGC.2024.1424327

RNN-enriched Deep Transfer Learning Model for Audio-based Classification in Various Environmental Settings

Autorzy: Ahmad Qurthobi, Robertas Damaševičius, Sarmad Maqsood, Rytis Maskeliūnas
Opublikowane w: Journal of Vibration Engineering & Technologies, Numer 14, 2026, ISSN 2523-3920
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S42417-025-02237-2

An analytical approach to blockchain-driven identity management in sustainable forest supply chains.

Autorzy: Damaševičius, Robertas; Maskeliūnas, Rytis
Opublikowane w: Supply Chain Analytics, ISSN 2949-8635
Wydawca: Elsevier
DOI: 10.1016/J.SCA.2025.100161

Digital transformation of the future of forestry: an exploration of key concepts in the principles behind Forest 4.0.

Autorzy: Damaševičius, Robertas, Mozgeris, Gintautas ir Maskeliūnas, Rytis
Opublikowane w: Frontiers in forests and global change, 2024, ISSN 2624-893X
Wydawca: Frontiers
DOI: 10.3389/ffgc.2024.1424327

Modeling Forest Regeneration Dynamics: Estimating Regeneration, Growth, and Mortality Rates in Lithuanian Forests

Autorzy: Damaševičius, Robertas; Maskeliūnas, Rytis
Opublikowane w: Forests, 2025, ISSN 1999-4907
Wydawca: Forests, published by MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/f16020192

Compatible basal area models for live and dying trees using diffusion processes

Autorzy: Petras Rupšys
Opublikowane w: Journal of Forestry Research, 2025, ISSN 1993-0607
Wydawca: Springer
DOI: 10.1007/S11676-025-01829-8

Machine Learning-Based Diffusion Processes for the Estimation of Stand Volume Yield and Growth Dynamics in Mixed-Age and Mixed-Species Forest Ecosystems

Autorzy: Petras Rupšys
Opublikowane w: Symmetry, Numer 18, 2026, ISSN 2073-8994
Wydawca: MDPI AG
DOI: 10.3390/SYM18010194

Adaptive Capacity of Scots Pine Trees to Meteorological Extremes in Highly Oligotrophic Soil in Hemi-Boreal Forest.

Autorzy: Augustaitis, A.; Sidabrienė, D.
Opublikowane w: Forests 2026, vol. 17, no 1, p. 1-25, ISSN 1999-4907
Wydawca: Forests
DOI: 10.3390/F17010098

Lecture Notes in Business Information Processing

Autorzy: Dalipi F., Öberg T., Kurti A., Ferati M
Opublikowane w: In: Rupino da Cunha P., Themistocleous M. (eds) Information Systems. EMCIS 2025. Lecture Notes in Business Information Processing, Vol. 573., ISSN 1865-1348
Wydawca: Springer
DOI: 10.1007/978-3-032-18487-0_11

Evolution of forest inventory and management planning system in Lithuania.

Autorzy: Papartė, Monika; Bikuvienė, Ina; Mozgeris, Gintautas
Opublikowane w: Baltic Forestry, 2025, vol. 31, no. 1, p. 1–20, ISSN 1392-1355
Wydawca: Baltic Forestry
DOI: 10.46490/BF789

Forestry Scenario Modelling: Qualitative Analysis of User Needs in Lithuania

Autorzy: Daiva Juknelienė, Michailas Palicinas, Jolanta Valčiukienė, Gintautas Mozgeris
Opublikowane w: Forests, Numer 15, 2025, ISSN 1999-4907
Wydawca: MDPI AG
DOI: 10.3390/F15030414

Adaptive sensor clustering for environmental monitoring in dynamic forest ecosystems

Autorzy: Robertas Damasevicius; Rytis Maskeliunas
Opublikowane w: Peer-to-Peer Networking and Applications, 2025, ISSN 1936-6450
Wydawca: Springer
DOI: 10.1007/S12083-025-01974-1

Sap Flow Density of the Prevailing Tree Species in a Hemiboreal Forest under Contrasting Meteorological and Growing Conditions

Autorzy: Algirdas Augustaitis, Ainis Pivoras
Opublikowane w: Forests, Numer 15, 2024, ISSN 1999-4907
Wydawca: MDPI AG
DOI: 10.3390/f15071158

Robust Forest Sound Classification Using Pareto-Mordukhovich Optimized MFCC in Environmental Monitoring

Autorzy: Ahmad Qurthobi, Robertas Damaševičius, Vytautas Barzdaitis, Rytis Maskeliūnas
Opublikowane w: IEEE Access, Numer 13, 2025, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3535796

IEEE Access

Autorzy: Ahmad Qurthobi; Robertas Damasevicius; Vytautas Barzdaitis; Rytis Maskeliunas
Opublikowane w: IEEE Access, 2025, ISSN 2169-3536
Wydawca: IEEE Access
DOI: 10.1109/ACCESS.2025.3535796

Investigations of the Use of Invasive Plant Biomass as an Additive in the Production of Wood-Based Pressed Biofuels, with a Focus on Their Quality and Environmental Impact.

Autorzy: Gramauskas, G., Jasinskas, A., Vonžodas, T., Lemanas, E., Venslauskas, K.
Opublikowane w: Plants, 15(2), 2026, ISSN 2223-7747
Wydawca: Plants, 15(2)
DOI: 10.3390/PLANTS15020303

Predicting Tree Growth and Transpiration in Forests: An Analysis of a Small-Scale Dataset With Pareto Optimized Tsaug Augmentation

Autorzy: Rytis Maskeliūnas, Robertas Damaševičius, Modupe Odusam, Diana Sidabrienė, Algirdas Augustaitis, Gintautas Mozgeris
Opublikowane w: International Journal of Interactive Multimedia and Artificial Intelligence, Numer 9, 2026, ISSN 1989-1660
Wydawca: Universidad Internacional de La Rioja
DOI: 10.9781/IJIMAI.2026.6565

Forest Information Modeling: A Novel Approach to Sustainable Forest Management

Autorzy: Robertas Damasevicius, Rytis Maskeliunas
Opublikowane w: ICST Transactions on Scalable Information Systems, Numer 12, 2025, ISSN 2032-9407
Wydawca: European Alliance for Innovation n.o.
DOI: 10.4108/EETSIS.7811

Tree Detection in RGB Satellite Imagery Using YOLO-Based Deep Learning Models

Autorzy: Irfan Abbas, Robertas Damaševičius
Opublikowane w: Computers, Materials & Continua, Numer 85, 2025, ISSN 1546-2226
Wydawca: Tech Science Press
DOI: 10.32604/CMC.2025.066578

Driving Forces of Agricultural Land Abandonment: A Lithuanian Case

Autorzy: Daiva Juknelienė; Viktorija Narmontienė; Jolanta Valčiukienė; Gintautas Mozgeris
Opublikowane w: Land, 2025, ISSN 2073-445X
Wydawca: MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/LAND14040899

Enhancing Forest Security through Advanced Surveillance Applications

Autorzy: Danny Buchman, Tomas Krilavičius, Rytis Maskeliūnas
Opublikowane w: Forests, Numer 14, 2025, ISSN 1999-4907
Wydawca: MDPI AG
DOI: 10.3390/F14122335

Conference proceedings (7)

Nordic-Baltic forest growth and yield conference : August 26-28, 2025, Tartu, Estonia

Autorzy: Estonian University of Life Sciences
Opublikowane w: 2025
Wydawca: Estonian University of Life Sciences

A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

Autorzy: Robertas Damaševičius, Rytis Maskeliunas, Ahmad Qurthobi
Opublikowane w: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Numer 39, 2024
Wydawca: IEEE
DOI: 10.15439/2024F7263

Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms

Autorzy: Rytis Maskeliūnas; Robertas Damaševičius
Opublikowane w: Annals of Computer Science and Information Systems, 2025, ISSN 2300-5963
Wydawca: Polish Information Processing Society (PTI) / FedCSIS
DOI: 10.15439/2025F7818

d'Alembert Convolution for Enhanced Spatio-Temporal Analysis of Forest Ecosystems

Autorzy: Rytis Maskeliūnas, Robertas Damaševičius
Opublikowane w: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Numer 39, 2024
Wydawca: IEEE
DOI: 10.15439/2024F4228

Kernel density estimator by minimizing bias

Autorzy: Ruzgas, Tomas; Pupalaigė, Kristina
Opublikowane w: 2023
Wydawca: KTU
DOI: 10.15388/DAMSS.14.2023

APPEND: A Blockchain-Based Model of Digital Product Passport for Furniture Industry

Autorzy: Fisnik Dalipi, Arianit Kurti, Mexhid Ferati
Opublikowane w: AHFE International, Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications, Numer 120, 2024
Wydawca: AHFE International
DOI: 10.54941/AHFE1004559

Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Opublikowane w: Annals of Computer Science and Information Systems, 2025
Wydawca: Annals of Computer Science and Information Systems
DOI: 10.15439/978-83-973291-9-5