Creation of the centre of excellence in smart forestry

Información del proyecto

Forest 4.0

Identificador del acuerdo de subvención: 101059985

DOI

10.3030/101059985

Fecha de la firma de la CE 26 Abril 2023

Fecha de inicio 1 Mayo 2023

Fecha de finalización 30 Abril 2029

Financiado con arreglo a

• Widening participation and spreading excellence

Coste total

€ 9 900 000,00

Aportación de la UE

€ 9 900 000,00

Coordinado por

VYTAUTO DIDZIOJO UNIVERSITETAS
Lithuania

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Peer reviewed articles (20)

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

Autores: 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
Publicado en: ARPHA Conference Abstracts, 2025, ISSN 2603-3925
Editor: Pensoft Publishers
DOI: 10.3897/ACA.8.E151306

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

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

Optimising the wood supply chain for enhanced furniture industry efficiency

Autores: Robertas Damaševičius, Rytis Maskeliūnas
Publicado en: Supply Chain Forum: An International Journal, Edición 26, 2025, ISSN 1625-8312
Editor: Informa UK Limited
DOI: 10.1080/16258312.2025.2456451

Distributed Timber Trading Mechanism Based on Blockchain Smart Contracts

Autores: Robertas Damaševičius, Rytis Maskeliūnas
Publicado en: Transactions on Emerging Telecommunications Technologies, Edición 36, 2025, ISSN 2161-3915
Editor: Wiley
DOI: 10.1002/ETT.70194

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

Autores: Irfan Abbas; Rytis Maskeliūnas; Ameer Hamza; Robertas Damaševičius
Publicado en: International Journal of Remote Sensing, 2025, ISSN 1366-5901
Editor: Taylor & Francis
DOI: 10.1080/01431161.2025.2601194

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

Autores: Robertas Damaševičius, Rytis Maskeliūnas
Publicado en: Forests, Edición 16, 2025, ISSN 1999-4907
Editor: MDPI AG
DOI: 10.3390/F16020192

Journal of Sustainable Forestry

Autores: Robertas Damaševičius, Rytis Maskeliūnas
Publicado en: Journal of Sustainable Forestry, Edición 44, 2025, ISSN 1054-9811
Editor: Food Products Press
DOI: 10.1080/10549811.2025.2513220

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

Autores: Robertas Damaševičius; Arianit Kurti; Rytis Maskeliūnas
Publicado en: Process Integration and Optimization for Sustainability, 2026, ISSN 2509-4246
Editor: 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

Autores: Robertas Damaševičius, Gintautas Mozgeris, Arianit Kurti, Rytis Maskeliūnas
Publicado en: Frontiers in Forests and Global Change, Edición 7, 2024, ISSN 2624-893X
Editor: Frontiers Media SA
DOI: 10.3389/FFGC.2024.1424327

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

Autores: Ahmad Qurthobi, Robertas Damaševičius, Sarmad Maqsood, Rytis Maskeliūnas
Publicado en: Journal of Vibration Engineering & Technologies, Edición 14, 2026, ISSN 2523-3920
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S42417-025-02237-2

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

Autores: Damaševičius, Robertas, Mozgeris, Gintautas ir Maskeliūnas, Rytis
Publicado en: Frontiers in forests and global change, 2024, ISSN 2624-893X
Editor: Frontiers
DOI: 10.3389/ffgc.2024.1424327

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

Autores: Petras Rupšys
Publicado en: Journal of Forestry Research, 2025, ISSN 1993-0607
Editor: Springer
DOI: 10.1007/S11676-025-01829-8

Forestry Scenario Modelling: Qualitative Analysis of User Needs in Lithuania

Autores: Daiva Juknelienė, Michailas Palicinas, Jolanta Valčiukienė, Gintautas Mozgeris
Publicado en: Forests, Edición 15, 2025, ISSN 1999-4907
Editor: MDPI AG
DOI: 10.3390/F15030414

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

Autores: Algirdas Augustaitis, Ainis Pivoras
Publicado en: Forests, Edición 15, 2024, ISSN 1999-4907
Editor: MDPI AG
DOI: 10.3390/f15071158

IEEE Access

Autores: Ahmad Qurthobi; Robertas Damasevicius; Vytautas Barzdaitis; Rytis Maskeliunas
Publicado en: IEEE Access, 2025, ISSN 2169-3536
Editor: IEEE Access
DOI: 10.1109/ACCESS.2025.3535796

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

Autores: Rytis Maskeliūnas, Robertas Damaševičius, Modupe Odusam, Diana Sidabrienė, Algirdas Augustaitis, Gintautas Mozgeris
Publicado en: International Journal of Interactive Multimedia and Artificial Intelligence, Edición 9, 2026, ISSN 1989-1660
Editor: Universidad Internacional de La Rioja
DOI: 10.9781/IJIMAI.2026.6565

Forest Information Modeling: A Novel Approach to Sustainable Forest Management

Autores: Robertas Damasevicius, Rytis Maskeliunas
Publicado en: ICST Transactions on Scalable Information Systems, Edición 12, 2025, ISSN 2032-9407
Editor: European Alliance for Innovation n.o.
DOI: 10.4108/EETSIS.7811

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

Autores: Irfan Abbas, Robertas Damaševičius
Publicado en: Computers, Materials & Continua, Edición 85, 2025, ISSN 1546-2226
Editor: Tech Science Press
DOI: 10.32604/CMC.2025.066578

Driving Forces of Agricultural Land Abandonment: A Lithuanian Case

Autores: Daiva Juknelienė; Viktorija Narmontienė; Jolanta Valčiukienė; Gintautas Mozgeris
Publicado en: Land, 2025, ISSN 2073-445X
Editor: MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/LAND14040899

Enhancing Forest Security through Advanced Surveillance Applications

Autores: Danny Buchman, Tomas Krilavičius, Rytis Maskeliūnas
Publicado en: Forests, Edición 14, 2025, ISSN 1999-4907
Editor: MDPI AG
DOI: 10.3390/F14122335

Conference proceedings (6)

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

Autores: Estonian University of Life Sciences
Publicado en: 2025
Editor: Estonian University of Life Sciences

A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

Autores: Robertas Damaševičius, Rytis Maskeliunas, Ahmad Qurthobi
Publicado en: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Edición 39, 2024
Editor: IEEE
DOI: 10.15439/2024F7263

Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms

Autores: Rytis Maskeliūnas; Robertas Damaševičius
Publicado en: Annals of Computer Science and Information Systems, 2025, ISSN 2300-5963
Editor: Polish Information Processing Society (PTI) / FedCSIS
DOI: 10.15439/2025F7818

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

Autores: Rytis Maskeliūnas, Robertas Damaševičius
Publicado en: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Edición 39, 2024
Editor: IEEE
DOI: 10.15439/2024F4228

Kernel density estimator by minimizing bias

Autores: Ruzgas, Tomas; Pupalaigė, Kristina
Publicado en: 2023
Editor: KTU
DOI: 10.15388/DAMSS.14.2023

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

Publicado en: Annals of Computer Science and Information Systems, 2025
Editor: Annals of Computer Science and Information Systems
DOI: 10.15439/978-83-973291-9-5