Forest Wood Management from Upstream to Downstream Industries
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Wood Science and Forest Products".
Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 4034
Special Issue Editors
Interests: nondestructive damage testing; anomaly detection; structural health monitoring
Interests: engineering; applied and computational mathematics; quality management; optimization; logistics; operations management; production planning; simulation; modeling; production; algorithms
Special Issue Information
Dear Colleagues,
Forest management processes are on the verge of leveraging advanced technology to ascertain vital information about the dynamics of woods, which are among the most crucial ecological assets known to man. Satellite imagery, drone technology, and artificial intelligence are examples of hard and soft technologies used to assess the quality of forest woods, undertake bushfire risk assessments, and mechanize the harvest of standing trees. However, nondestructive evaluation and the grading of wood products are essential in downstream sectors such as construction. As such, this Special Issue aims to highlight advanced technologies used to address the abovementioned issues by providing selected contributions on the management of upstream and downstream forestry-related industries.
Potential topics include, but are not limited to:
- Artificial intelligence in forest management;
- The risk assessment of bushfires;
- Mechanized harvesting of standing trees;
- Machine learning for wood material grading;
- Nondestructive evaluation of wood products.
Dr. Mohsen Mousavi
Dr. Iman Rahimi
Dr. Tohid Ghanbari-Ghazijahani
Guest Editors
Manuscript Submission Information
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Keywords
- forestry
- satellite imagery
- drone technology
- artificial intelligence
- bushfire
- wood grading
- nondestructive testing
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