Leveraging entangled quantum states to develop consensus mechanisms in blockchain networks for smart forestry applications
Author(s)
Damaševičius Robertas, Maskeliūnas Rytis
Type of publication
Article in conference proceedings in Scopus database (P1a2)
Is part of
6th International Conference on Computing and Informatics (ICCI), New Cairo, 6-7 March 2024
Date Issued
| Date Issued | Volume | Start Page | End Page |
|---|---|---|---|
| 2024 | 6 | 356 | 360 |
Publisher
Piscataway : IEEE
Publisher (trusted)
Is Referenced by
URI
| https://hdl.handle.net/20.500.12259/264757 |
DOI
Forest resonance model: a novel forest-inspired approach to microwave antenna signal strength estimation
Author(s)
Maskeliūnas Rytis, Plonis Darius, Damaševičius Robertas
Type of publication
Article in conference proceedings in Scopus database (P1a2)
Part Of
Advances in information, electronic and electrical engineering (AIEEE): proceedings of the 11th IEEE workshop, May 31 – June 1, 2024, Valmiera, Latvia / eited by: A. Romanovs, D. Navakauskas, M. Narigina
Date Issued
| Date Issued | Start Page | End Page |
|---|---|---|
| 2024 | 1 | 7 |
Publisher
Piscataway : IEEE
Publisher (trusted)
Is Referenced by
URI
| https://ieeexplore.ieee.org/document/10586682 |
| https://hdl.handle.net/20.500.12259/271077 |
DOI
A Reinforcement Learning-based Adaptive Digital Twin model for forests
Author(s)
Damaševičius Robertas, Maskeliūnas Rytis
Type of publication
Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)
Is part of
4th International conference on Applied Artificial Intelligence (ICAPAI), Halden, Norway, 16 April 2024
Date Issued
| Date Issued | Start Page | End Page |
|---|---|---|
| 2024 | 1 | 7 |
Publisher
Piscataway : IEEE
Publisher (trusted)
Is Referenced by
URI
| https://hdl.handle.net/20.500.12259/268358 |
DOI (of the container)
10.1109/ICAPAI61893.2024.10541227
DOI
A hybrid machine learning model for forest wildfire detection using sounds
Author(s)
Damaševičius Robertas, Qurthobi Ahmad, Maskeliūnas Rytis
Type of publication
Article in conference proceedings in Scopus database (P1a2)
Is part of
Proceedings of the 19th conference on computer science and intelligence systems (FedCSIS), September 8–11, 2024. Belgrade, Serbia
Date Issued
| Date Issued | Volume | Start Page | End Page |
|---|---|---|---|
| 2024 | 39 | 99 | 106 |
Publisher
Piscataway : IEEE
Publisher (trusted)
Is Referenced by
URI
| https://ieeexplore.ieee.org/document/10736044 |
| https://hdl.handle.net/20.500.12259/271950 |
DOI
Sap flow density of the prevailing tree species in a hemiboreal forest under contrasting meteorological and growing conditions
Author(s)
Augustaitis Algirdas, Pivoras Ainis
Type of publication
Article in Web of Science and Scopus database (S1)
Date Issued
| Date Issued | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
| 2024 | 15 | 7 | 1 | 19 |
Publisher
Basel : MDPI AG
Publisher (trusted)
Is Referenced by
Science Citation Index (Web of Science)
URI
| https://hdl.handle.net/20.500.12259/268655 |
DOI
Forestry scenario modelling: qualitative analysis of user needs in Lithuania
Author(s):
Juknelienė Daiva, Palicinas Michailas, Valčiukienė Jolanta, Mozgeris Gintautas
Type of publication
Article in Web of Science and Scopus database (S1)
Date Issued
| Date Issued | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
| 2024 | 15 | 3 | 1 | 20 |
Publisher
Basel : MDPI AG
Is Referenced by
Science Citation Index Expanded (Web of Science)
Current Contents / Agriculture, Biology & Environmental Sciences
URI
| https://hdl.handle.net/20.500.12259/263345 |
DOI
Enhancing forest security through advanced surveillance applications
Author(s)
Buchman Danny, Krilavičius Tomas, Maskeliūnas Rytis
Type of publication
in Web of Science and Scopus database (S1)
Date Issued
| Date Issued | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
| 2023 | 14 | 12 | 1 | 33 |
Publisher
Basel : MDPI AG
Publisher (trusted)
Is Referenced by
Science Citation Index Expanded (Web of Science)
Current Contents / Agriculture, Biology & Environmental Sciences
URI
| https://hdl.handle.net/20.500.12259/259047 |
DOI
Digital transformation of the future of forestry: an exploration of key concepts in the principles behind Forest 4.0
Author(s)
Damaševičius Robertas, Mozgeris Gintautas, Kurti Arianit, Maskeliūnas Rytis
Type of publication
Article in Web of Science and Scopus database (S1)
Date Issued
| Date Issued | Volume | Start Page | End Page |
|---|---|---|---|
| 2024 | 7 | 1 | 17 |
Publisher
Lausanne : Frontiers Media SA
Is Referenced by
Current Contents / Agriculture, Biology & Environmental Sciences
Science Citation Index Expanded (Web of Science)
URI
| https://hdl.handle.net/20.500.12259/271090 |
DOI
Distributed random forest for predicting forest wildfires based on weather data
Author(s)
Damaševičiusn Robertas, Maskeliūnas Rytis
Type of publication
Article in conference proceedings in Web of Science and Scopus database (P1a)
Is part of
Advanced network technologies and intelligent computing : 3rd international conference, ANTIC 2023, Varanasi, India, December 20-22, 2023: proceedings, Part 2 / A. Verma, P. Verma, K.K. Pattanaik, Sa.K. Dhurandher, I. Woungang (eds.)
Date Issued
| Date Issued | Volume | Start Page | End Page |
|---|---|---|---|
| 2024 | 2091 | 305 | 320 |
Publisher
Cham : Springer
Publisher (trusted)
Is Referenced by
Conference Proceedings Citation Index – Science (Web of Science)
URI
| https://link.springer.com/chapter/10.1007/978-3-031-64064-3_22 |
| https://hdl.handle.net/20.500.12259/270392 |
DOI
Advanced Forestry: A Recipe for the Future of Lithuanian Forests?
“For the first time in our region, the expertise of researchers from two distinct fields—forestry and digital technologies—has been combined. Approximately a year ago, the six-year project ‘Forest 4.0’ was launched. This initiative is jointly funded by the European Union's Horizon Europe research and innovation program and the State of Lithuania. The numbers in the project title reflect the ongoing Fourth Industrial Revolution and the cutting-edge technologies associated with it, which are inevitably making their way into our lives—and our forests,” writes Dr. Nerijus Kupstaitis of Vytautas Magnus University, part of the Forest 4.0 project team.
In a recently published article in Mūsų Girios magazine, Dr. Kupstaitis highlighted how the Forest 4.0 project unites forestry and digital technology experts from leading universities in Lithuania and Sweden. This ambitious initiative aims to tackle contemporary challenges facing forests, including climate change, biodiversity loss, and evolving societal expectations.

Challenges facing Lithuanian forests
Dr. N. Kupstaitis points out several pressing concerns for Lithuanian forests, particularly the impacts of climate change, such as the large-scale destruction of spruce forests by bark beetles, and the urgent need to diversify current forestry practices. According to him, forests play a crucial role in carbon absorption, offsetting one-third of Lithuania's greenhouse gas emissions. However, projections indicate this capacity may decline without innovative solutions. Additionally, preserving biodiversity and meeting growing societal demands for cultural and recreational forest use require adaptive management practices.
Forest 4.0 objectives
The author highlights that the project focuses on establishing a Competence Center for Advanced Forestry, designed to revolutionize forest monitoring, data collection, and analysis. By integrating AI, IoT, and other digital technologies, the center aims to support policy development and practical forestry decision-making. Current efforts include enhancing Lithuania's national forest inventory system and developing advanced tools, such as remote sensing technologies (e.g., LiDAR and hyperspectral scanning) and decision-support systems for sustainable forest management.
The path forward
Looking to the future, Dr. N. Kupstaitis emphasizes that Forest 4.0 underscores the importance of interdisciplinary collaboration to digitize forestry and create resilient, multifunctional forests. The initiative envisions forests that are not only economically viable but also environmentally and socially sustainable, paving the way for a more adaptive and diverse forestry model in Lithuania.

