Application of Machine Learning and Computer Methods for Advancing Forest Sciences
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 11
Special Issue Editors
Interests: crop+ deep learning; artificial intelligence deep learning robotics
Interests: biomass; dendroecology; tree-rings; site index modeling; soils
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue, Application of Machine Learning and Computer Methods for Advancing Forest Sciences, aims to highlight how advanced computational tools are transforming the way we understand, monitor, and manage forests. In recent years, machine learning, artificial intelligence, and computer vision have advanced from experimental research to practical solutions and products, helping us detect pests earlier, map forest health more precisely, and make better decisions regarding sustainable management. From UAVs capturing high-resolution imagery to LiDAR and SAR revealing hidden forest structures, these technologies, combined with powerful algorithms, allow us to see and understand forests in ways that were impossible a decade ago. We welcome contributions that explore these possibilities, from innovative uses of deep learning and geospatial analytics to decision-support systems, simulation models, and applied robotics for forestry applications. Topics of interest include forest inventory optimization, biodiversity monitoring, carbon stock estimation, and mitigating the impacts of climate change. By bringing together experts in forestry and computational sciences, this Special Issue seeks not only to share cutting-edge research but also to inspire new collaborations and practical solutions to the challenges facing forests today.
Dr. Alexandre Dos Santos
Dr. Szymon Bijak
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- machine learning
- artificial intelligence
- remote sensing
- forest pest detection
- precision forestry
- UAV
- LiDAR
- SAR
- computer vision
- geospatial analytics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
