Artificial Intelligence and Machine Learning Applications in Forestry—Second Edition
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: 10 September 2025 | Viewed by 2314
Special Issue Editor
Interests: forestry non-destructive detection; forestry Internet of things technology; microwave and optical technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the improvements in computer hardware performance and deep learning, a new generation of information technology has been continuously integrated into the core business of forestry; the application of artificial intelligence and machine learning technology in the field of forestry has become increasingly widespread. Countries around the world have paid much attention to the development of intelligent forestry. Smart forestry integrates the key technologies in digital forestry with the new generation of information technology, such as artificial intelligence, the Internet of Things, big data, cloud computing and mobile Internet, and forestry intelligent equipment, forming a multidisciplinary deep integration of forestry production and management, including intelligent breeding, cultivation, monitoring, operation management, protection, etc. This helps to realize three-dimensional perception, precise cultivation, real-time monitoring, intelligent management, intelligent decision making, and other new models of forestry information development. The development of intelligent forestry needs to further promote the research, development, and application of intelligent algorithms, such as multisource heterogeneous data fusion and machine vision, integrated data mining, model simulation, and intelligent analysis technology into forestry, promote forestry scientific and technological innovation, and achieve the high-quality development of forestry on the basis of the continuous improvement of forestry theoretical research.
This Special Issue aims to cover a whole range of applications, including typical applications of forestry and forestry engineering. One or more of these problems can be solved through high-quality research or review papers on the following topics:
- Applications of AI tools and applications in forestry;
- Forestry deep learning models;
- Recent forestry development trends and application status of information technology in forestry;
- Intelligent sensing technology for forestry;
- Forestry pattern recognition;
- Multimedia and cognitive informatics in forestry;
- Application of remote sensing big data and cloud computing in forestry;
- Forestry virtual reality;
- Intelligent forestry equipment.
Please check the first edition of the Special Issue “Artificial Intelligence and Machine Learning Applications in Forestry” at https://www.mdpi.com/journal/forests/special_issues/UJ60769Q36
Prof. Dr. Yunfei Liu
Guest Editor
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
machine learning
deep learning
forest management
forest protection
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