Machine learning-based stem taper model: a case study with Brutian pine
Stem taper models are essential tools in forestry, allowing for the estimation of stem diameter at any height, as well as the calculation of merchantable and total stem volumes and wood assortments along the tree bole. Therefore, accurate taper prediction is crucial for sustainable forest resource a...
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| Main Author: | Fadime Sağlam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Forests and Global Change |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/ffgc.2025.1609549/full |
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