Automatic and non-destructive inner wood quality assessment of wood logs using 3D computed tomography and machine learning
DOI: https://doi.org/10.2478/forj-2026-0011 | Journal eISSN: 2454-0358 (formerly 0323-1046, 1338-4295) | Journal ISSN: 2454-034X (formerly 0323-1046)
Language: English
Page range: 171 - 184
Published online: Oct 8, 2026
Published in print: Sep 1, 2026
Published by: National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
In partnership with: Paradigm Publishing Services
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© 2026 Gokul Kottilapurath Surendran, Tomáš Bucha, Tomáš Gergeľ, Ondrej Vacek, Martin Mokros, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.