Leveraging entangled quantum states to develop consensus mechanisms in blockchain networks for smart forestry applications

VIEW PDF

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)

IEEE Press

Is Referenced by

Scopus

URI

https://hdl.handle.net/20.500.12259/264757

DOI

10.1109/ICCI61671.2024.10485031


Forest resonance model: a novel forest-inspired approach to microwave antenna signal strength estimation

VIEW PDF

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)

IEEE

Is Referenced by

Scopus

URI

https://ieeexplore.ieee.org/document/10586682
https://hdl.handle.net/20.500.12259/271077

DOI

10.1109/AIEEE62837.2024.10586682


A Reinforcement Learning-based Adaptive Digital Twin model for forests

VIEW PDF

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)

IEEE Press

Is Referenced by

Scopus

URI

https://hdl.handle.net/20.500.12259/268358

DOI (of the container)

10.1109/ICAPAI61893.2024.10541227

DOI

10.1109/ICAPAI61893.2024.10541251


A hybrid machine learning model for forest wildfire detection using sounds

VIEW PDF

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)

IEEE

Is Referenced by

Scopus

URI

https://ieeexplore.ieee.org/document/10736044
https://hdl.handle.net/20.500.12259/271950

DOI

10.15439/2024F7263


Sap flow density of the prevailing tree species in a hemiboreal forest under contrasting meteorological and growing conditions

VIEW PDF

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)

MDPI

Is Referenced by

Scopus

Science Citation Index (Web of Science)

URI

https://hdl.handle.net/20.500.12259/268655

DOI

10.3390/f15071158


Forestry scenario modelling: qualitative analysis of user needs in Lithuania

VIEW PDF

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)

Scopus

Current Contents / Agriculture, Biology & Environmental Sciences

URI

https://hdl.handle.net/20.500.12259/263345

DOI

10.3390/f15030414


Enhancing forest security through advanced surveillance applications

VIEW PDF

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)

MDPI

Is Referenced by

Science Citation Index Expanded (Web of Science)

Scopus

Current Contents / Agriculture, Biology & Environmental Sciences

URI

https://hdl.handle.net/20.500.12259/259047

DOI

10.3390/f14122335


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

VIEW PDF

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

Scopus

Biological Abstracts

BIOSIS Previews

Current Contents / Agriculture, Biology & Environmental Sciences

Science Citation Index Expanded (Web of Science)

Zoological Record

URI

https://hdl.handle.net/20.500.12259/271090

DOI

10.3389/ffgc.2024.1424327


Distributed random forest for predicting forest wildfires based on weather data

VIEW PDF

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)

SpringerNature

Is Referenced by

Scopus

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

10.1007/978-3-031-64064-3_22


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.