Forest 4.0: Advancements and Challenges in Digital Technologies for Sustainable Forest Management

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: closed (9 January 2024) | Viewed by 1393

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: disease recognition using artificial intelligence methods; digital health; multimodal interfaces; biomedical imaging
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Agriculture Academy, Faculty of Forest Sciences and Ecology, Department of Forest Sciences, Vytautas Magnus University, Studentų Str. 11, LT-53361 Akademija, Kaunas Region, Lithuania
Interests: geomatics; forest management; environmental policy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Multimedia Technologies, Kaunas University of Technology, 51311 Kaunas, Lithuania
Interests: artificial intelligence; signal processing; computer vision; human–machine interfaces
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Forest 4.0 refers to the integration of advanced digital technologies, such as artificial intelligence, the Internet of Things, blockchain, and big data analytics, into forest management practices. It is a concept that aims to revolutionize the forest industry by harnessing the power of technology to improve efficiency, sustainability, and profitability. The goals of Forest 4.0 include optimizing resource utilization, reducing waste, improving supply chain management, and enhancing the decision-making process through data-driven insights. Additionally, Forest 4.0 is also aimed at reducing the negative impacts of the forest industry on the environment by promoting sustainable forestry practices and mitigating the risks of forest fires, disease outbreaks, and climate change. The Special Issue seeks to provide a comprehensive overview of the latest advancements and challenges in the integration of digital technologies into forest management practices, with a focus on promoting sustainable forest management practices and promoting sustainable forest management practices under conditions of rapidly changing environments. The Special Issue will be of interest to researchers, policymakers, and practitioners from the forestry and technology sectors who are interested in leveraging digital technologies for sustainable forest management. The objective of this Special Issue is to provide a comprehensive overview of the latest advancements and challenges in digital technologies for sustainable forest management, with a focus on Forest 4.0.

The Special Issue aims to bring together researchers, policymakers, and practitioners from the forestry and technology sectors to share their insights, experiences, and best practices in the integration of digital technologies into forest management practices. Topics of interest may include, but are not limited to:

  • Advanced digital technologies for forest monitoring and management;
  • Blockchain and IoT applications for traceability and supply chain management in the forest industry;
  • Big data analytics for optimizing forest harvesting, transportation, and resource utilization;
  • Precision forestry solutions for forest mapping, inventory, and decision-making;
  • Climate change mitigation and adaptation strategies for sustainable forest management;
  • Building frameworks for forest (sector) modelling;
  • Challenges and opportunities in the integration of digital technologies into forest management practices;
  • STEEP (Social, Technological, Economic, Environmental, and Political) impacts of Forest 4.0;
  • Best practices and case studies in the implementation of Forest 4.0.

Prof. Dr. Robertas Damaševičius
Prof. Dr. Gintautas Mozgeris
Dr. Rytis Maskeliunas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Forest 4.0
  • digital technologies
  • sustainable forest management
  • artificial intelligence
  • Internet of Things (IoT)
  • blockchain
  • big data analytics
  • precision forestry
  • climate change mitigation
  • forest conservation

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

33 pages, 23125 KiB  
Article
Enhancing Forest Security through Advanced Surveillance Applications
by Danny Buchman, Tomas Krilavičius and Rytis Maskeliūnas
Forests 2023, 14(12), 2335; https://doi.org/10.3390/f14122335 - 28 Nov 2023
Viewed by 735
Abstract
Forests established through afforestation are one of the most precious natural resources, especially in harsh and desert-biased conditions. Trees are often exposed to various threats that need to be addressed. Some of the threats are igniting fires, illegal lumberjacking, hunting, using, and crossing [...] Read more.
Forests established through afforestation are one of the most precious natural resources, especially in harsh and desert-biased conditions. Trees are often exposed to various threats that need to be addressed. Some of the threats are igniting fires, illegal lumberjacking, hunting, using, and crossing prohibited areas, etc. This article delves into the combination of advanced technologies, such as radars, thermal imaging, remote sensing, artificial intelligence, and biomass monitoring systems, in the field of forestry and natural resource security. By examining the parametric assurance technologies described in this paper, the potentials of real-time monitoring, early detection of threats, and rapid response capabilities are examined, which significantly improves the efficiency of forest protection efforts. This article deals with the presentation of advanced algorithms that include radar, thermal cameras, and artificial intelligence, which enable the automatic identification and classification of potential threats with a false alarm rate (FAR) as low as possible. The article presents a systemic solution that optimizes the answer for a parametric security system that is required to work in a complex environment with multiple triggers that can cause false alarms. In addition to this, a presented system is required to be easy to assemble and have the ability to integrate into natural areas and serve as a vulnerable aid in nature as much as possible. In conclusion, this study highlights the transformative potential of security applications in improving forest and natural reserve security while taking into account the complexity of the environment. Full article
Show Figures

Figure 1

Back to TopTop