Optical detection of beetle-related indicators and stem quality in roundwood using convolutional neural networks
Abstract Accurate roundwood sorting is critical for improving resource efficiency in the timber industry. However, in many small sawmills, sorting is performed manually through visual inspection, often resulting in inconsistencies and misclassifications. Sorting wood based on macroscopic images usin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Journal of Wood Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10086-025-02197-x |
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