Creation of the centre of excellence in smart forestry

Informazioni relative al progetto

Forest 4.0

ID dell’accordo di sovvenzione: 101059985

DOI

10.3030/101059985

Data della firma CE 26 Aprile 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2029

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 9 900 000,00

Contributo UE

€ 9 900 000,00

Coordinato da

VYTAUTO DIDZIOJO UNIVERSITETAS
Lithuania

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (2)

A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

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

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

Autori: Rytis Maskeliūnas, Robertas Damaševičius
Pubblicato in: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Numero 39, 2024
Editore: IEEE
DOI: 10.15439/2024F4228

Peer reviewed articles (4)

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

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

Forestry Scenario Modelling: Qualitative Analysis of User Needs in Lithuania

Autori: Daiva Juknelienė, Michailas Palicinas, Jolanta Valčiukienė, Gintautas Mozgeris
Pubblicato in: Forests, Numero 15, 2025, ISSN 1999-4907
Editore: MDPI AG
DOI: 10.3390/F15030414

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

Autori: Algirdas Augustaitis, Ainis Pivoras
Pubblicato in: Forests, Numero 15, 2024, ISSN 1999-4907
Editore: MDPI AG
DOI: 10.3390/f15071158

Enhancing Forest Security through Advanced Surveillance Applications

Autori: Danny Buchman, Tomas Krilavičius, Rytis Maskeliūnas
Pubblicato in: Forests, Numero 14, 2025, ISSN 1999-4907
Editore: MDPI AG
DOI: 10.3390/F14122335