Creation of the centre of excellence in smart forestry

Projektinformationen

Forest 4.0

ID Finanzhilfevereinbarung: 101059985

DOI

10.3030/101059985

EK-Unterschriftsdatum 26 April 2023

Startdatum 1 Mai 2023

Enddatum 30 April 2029

Finanziert unter

• Widening participation and spreading excellence

Gesamtkosten

€ 9 900 000,00

EU-Beitrag

€ 9 900 000,00

Koordiniert durch

VYTAUTO DIDZIOJO UNIVERSITETAS
Lithuania

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Peer reviewed articles (31)

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

Autoren: 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
Veröffentlicht in: ARPHA Conference Abstracts, 2025, ISSN 2603-3925
Herausgeber: Pensoft Publishers
DOI: 10.3897/ACA.8.E151306

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

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

Optimising the wood supply chain for enhanced furniture industry efficiency

Autoren: Robertas Damaševičius, Rytis Maskeliūnas
Veröffentlicht in: Supply Chain Forum: An International Journal, Ausgabe 26, 2025, ISSN 1625-8312
Herausgeber: Informa UK Limited
DOI: 10.1080/16258312.2025.2456451

Distributed Timber Trading Mechanism Based on Blockchain Smart Contracts

Autoren: Robertas Damaševičius, Rytis Maskeliūnas
Veröffentlicht in: Transactions on Emerging Telecommunications Technologies, Ausgabe 36, 2025, ISSN 2161-3915
Herausgeber: 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

Autoren: Rupšys, P.
Veröffentlicht in:  Contemporary Mathematics, 2026, t. 7, nr. 1, ISSN 2705-1056
Herausgeber: 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

Autoren: Irfan Abbas; Rytis Maskeliūnas; Ameer Hamza; Robertas Damaševičius
Veröffentlicht in: International Journal of Remote Sensing, 2025, ISSN 1366-5901
Herausgeber: Taylor & Francis
DOI: 10.1080/01431161.2025.2601194

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

Autoren: Robertas Damaševičius, Rytis Maskeliūnas
Veröffentlicht in: Forests, Ausgabe 16, 2025, ISSN 1999-4907
Herausgeber: MDPI AG
DOI: 10.3390/F16020192

Journal of Sustainable Forestry

Autoren: Robertas Damaševičius, Rytis Maskeliūnas
Veröffentlicht in: Journal of Sustainable Forestry, Ausgabe 44, 2025, ISSN 1054-9811
Herausgeber: 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

Autoren: Edmundas Petrauskas, Petras Rupšys
Veröffentlicht in: Symmetry, Ausgabe 17, 2025, ISSN 2073-8994
Herausgeber: MDPI AG
DOI: 10.3390/SYM17020213

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

Autoren: Robertas Damaševičius; Arianit Kurti; Rytis Maskeliūnas
Veröffentlicht in: Process Integration and Optimization for Sustainability, 2026, ISSN 2509-4246
Herausgeber: 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

Autoren: Robertas Damaševičius, Gintautas Mozgeris, Arianit Kurti, Rytis Maskeliūnas
Veröffentlicht in: Frontiers in Forests and Global Change, Ausgabe 7, 2024, ISSN 2624-893X
Herausgeber: Frontiers Media SA
DOI: 10.3389/FFGC.2024.1424327

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

Autoren: Ahmad Qurthobi, Robertas Damaševičius, Sarmad Maqsood, Rytis Maskeliūnas
Veröffentlicht in: Journal of Vibration Engineering & Technologies, Ausgabe 14, 2026, ISSN 2523-3920
Herausgeber: 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.

Autoren: Damaševičius, Robertas; Maskeliūnas, Rytis
Veröffentlicht in: Supply Chain Analytics, ISSN 2949-8635
Herausgeber: 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.

Autoren: Damaševičius, Robertas, Mozgeris, Gintautas ir Maskeliūnas, Rytis
Veröffentlicht in: Frontiers in forests and global change, 2024, ISSN 2624-893X
Herausgeber: Frontiers
DOI: 10.3389/ffgc.2024.1424327

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

Autoren: Damaševičius, Robertas; Maskeliūnas, Rytis
Veröffentlicht in: Forests, 2025, ISSN 1999-4907
Herausgeber: Forests, published by MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/f16020192

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

Autoren: Petras Rupšys
Veröffentlicht in: Journal of Forestry Research, 2025, ISSN 1993-0607
Herausgeber: 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

Autoren: Petras Rupšys
Veröffentlicht in: Symmetry, Ausgabe 18, 2026, ISSN 2073-8994
Herausgeber: MDPI AG
DOI: 10.3390/SYM18010194

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

Autoren: Augustaitis, A.; Sidabrienė, D.
Veröffentlicht in: Forests 2026, vol. 17, no 1, p. 1-25, ISSN 1999-4907
Herausgeber: Forests
DOI: 10.3390/F17010098

Lecture Notes in Business Information Processing

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

Evolution of forest inventory and management planning system in Lithuania.

Autoren: Papartė, Monika; Bikuvienė, Ina; Mozgeris, Gintautas
Veröffentlicht in: Baltic Forestry, 2025, vol. 31, no. 1, p. 1–20, ISSN 1392-1355
Herausgeber: Baltic Forestry
DOI: 10.46490/BF789

Forestry Scenario Modelling: Qualitative Analysis of User Needs in Lithuania

Autoren: Daiva Juknelienė, Michailas Palicinas, Jolanta Valčiukienė, Gintautas Mozgeris
Veröffentlicht in: Forests, Ausgabe 15, 2025, ISSN 1999-4907
Herausgeber: MDPI AG
DOI: 10.3390/F15030414

Adaptive sensor clustering for environmental monitoring in dynamic forest ecosystems

Autoren: Robertas Damasevicius; Rytis Maskeliunas
Veröffentlicht in: Peer-to-Peer Networking and Applications, 2025, ISSN 1936-6450
Herausgeber: 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

Autoren: Algirdas Augustaitis, Ainis Pivoras
Veröffentlicht in: Forests, Ausgabe 15, 2024, ISSN 1999-4907
Herausgeber: MDPI AG
DOI: 10.3390/f15071158

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

Autoren: Ahmad Qurthobi, Robertas Damaševičius, Vytautas Barzdaitis, Rytis Maskeliūnas
Veröffentlicht in: IEEE Access, Ausgabe 13, 2025, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3535796

IEEE Access

Autoren: Ahmad Qurthobi; Robertas Damasevicius; Vytautas Barzdaitis; Rytis Maskeliunas
Veröffentlicht in: IEEE Access, 2025, ISSN 2169-3536
Herausgeber: 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.

Autoren: Gramauskas, G., Jasinskas, A., Vonžodas, T., Lemanas, E., Venslauskas, K.
Veröffentlicht in: Plants, 15(2), 2026, ISSN 2223-7747
Herausgeber: 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

Autoren: Rytis Maskeliūnas, Robertas Damaševičius, Modupe Odusam, Diana Sidabrienė, Algirdas Augustaitis, Gintautas Mozgeris
Veröffentlicht in: International Journal of Interactive Multimedia and Artificial Intelligence, Ausgabe 9, 2026, ISSN 1989-1660
Herausgeber: Universidad Internacional de La Rioja
DOI: 10.9781/IJIMAI.2026.6565

Forest Information Modeling: A Novel Approach to Sustainable Forest Management

Autoren: Robertas Damasevicius, Rytis Maskeliunas
Veröffentlicht in: ICST Transactions on Scalable Information Systems, Ausgabe 12, 2025, ISSN 2032-9407
Herausgeber: European Alliance for Innovation n.o.
DOI: 10.4108/EETSIS.7811

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

Autoren: Irfan Abbas, Robertas Damaševičius
Veröffentlicht in: Computers, Materials & Continua, Ausgabe 85, 2025, ISSN 1546-2226
Herausgeber: Tech Science Press
DOI: 10.32604/CMC.2025.066578

Driving Forces of Agricultural Land Abandonment: A Lithuanian Case

Autoren: Daiva Juknelienė; Viktorija Narmontienė; Jolanta Valčiukienė; Gintautas Mozgeris
Veröffentlicht in: Land, 2025, ISSN 2073-445X
Herausgeber: MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/LAND14040899

Enhancing Forest Security through Advanced Surveillance Applications

Autoren: Danny Buchman, Tomas Krilavičius, Rytis Maskeliūnas
Veröffentlicht in: Forests, Ausgabe 14, 2025, ISSN 1999-4907
Herausgeber: MDPI AG
DOI: 10.3390/F14122335

Conference proceedings (7)

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

Autoren: Estonian University of Life Sciences
Veröffentlicht in: 2025
Herausgeber: Estonian University of Life Sciences

A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

Autoren: Robertas Damaševičius, Rytis Maskeliunas, Ahmad Qurthobi
Veröffentlicht in: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Ausgabe 39, 2024
Herausgeber: IEEE
DOI: 10.15439/2024F7263

Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms

Autoren: Rytis Maskeliūnas; Robertas Damaševičius
Veröffentlicht in: Annals of Computer Science and Information Systems, 2025, ISSN 2300-5963
Herausgeber: Polish Information Processing Society (PTI) / FedCSIS
DOI: 10.15439/2025F7818

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

Autoren: Rytis Maskeliūnas, Robertas Damaševičius
Veröffentlicht in: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Ausgabe 39, 2024
Herausgeber: IEEE
DOI: 10.15439/2024F4228

Kernel density estimator by minimizing bias

Autoren: Ruzgas, Tomas; Pupalaigė, Kristina
Veröffentlicht in: 2023
Herausgeber: KTU
DOI: 10.15388/DAMSS.14.2023

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

Autoren: Fisnik Dalipi, Arianit Kurti, Mexhid Ferati
Veröffentlicht in: AHFE International, Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications, Ausgabe 120, 2024
Herausgeber: AHFE International
DOI: 10.54941/AHFE1004559

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

Veröffentlicht in: Annals of Computer Science and Information Systems, 2025
Herausgeber: Annals of Computer Science and Information Systems
DOI: 10.15439/978-83-973291-9-5