Macroscopic and Microscopic Anatomical Characteristics of Six Korean Oak Species

Savero, Alvin Muhammad; Kim, Jong-Ho; Purusatama, Byantara Darsan; Prasetia, Denni; Wahyudi, Imam; Iswanto, Apri Heri; Park, Byung-Ho; Lee, Seung-Hwan; Kim, Nam-Hun

doi:10.3390/f14122449

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…The radial variation pattern of fiber length in our study is consistent with those in previous studies on Quercus spp. [32][33][34][35]. The authors mentioned that the fiber length of Quercus spp.…”

Section: Fiber Lengthmentioning

confidence: 99%

“…To date, there have been few comparative studies on the anatomical characteristics of the six Korean oak species. In a previous study, we reported a comparative analysis of macroscopic and microscopic anatomical features of six Korean oak wood species [35]. However, the information on the quantitative anatomical characteristics is crucial to completing the identification keys for these species.…”

Section: Introductionmentioning

confidence: 99%

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Radial Variation of Wood Anatomical Characteristics and Maturation Ages of Six Korean Oak Species

Savero,

Kim,

Purusatama

et al. 2024

Forests

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The objective of this study was to examine and compare radial variation of the anatomical characteristics and the transition age from juvenile to mature wood of the six Korean oak wood species: Quercus variabilis (Qv), Quercus serrata (Qs), Quercus mongolica (Qm), Quercus dentata (Qd), Quercus aliena (Qal), and Quercus acutissima (Qac). Quantitative anatomical features were observed from the pith to the bark at five growth-ring intervals using optical microscopy. A segmented regression model was used to evaluate the transition from juvenile wood to mature wood. The clearest transition from juvenile to mature wood was observed in the radial variation of the earlywood vessel diameter and fiber length. The maturation age of the six Korean oak species ranged from 19 to 44 years. Qv exhibited the highest values for latewood vessel diameter, fiber length, and fiber diameter. Qac displayed the highest values for earlywood vessel diameter and fiber wall thickness. The highest fiber lumen diameter was observed for Qm. The differences in earlywood and latewood vessel diameters and fiber lengths could be utilized as identification keys for these species. Earlywood vessel diameter and fiber length have emerged as the most reliable indicators for estimating the transition from juvenile to mature wood.

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Section: Fiber Lengthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radial Variation of Wood Anatomical Characteristics and Maturation Ages of Six Korean Oak Species

Savero,

Kim,

Purusatama

et al. 2024

Forests

Self Cite

View full text Add to dashboard Cite

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Performance of convolutional neural network (CNN) and performance influencing factors for wood species classification of Lepidobalanus growing in Korea

Kim,

Park,

Kim

2024

Sci Rep

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This study aimed to investigate the performance and factors affecting the species classification of convolutional neural network (CNN) architecture using whole-part and earlywood-part cross-sectional datasets of six Korean Quercus species. The accuracy of species classification for each condition was analyzed using the datasets, data augmentation, and optimizers—stochastic gradient descent (SGD), adaptive moment estimation (Adam), and root mean square propagation (RMSProp)—based on a CNN architecture with three to four convolutional layers. The model trained with the augmented dataset yielded significantly superior results in terms of classification accuracy compared to the model trained with the non-augmented dataset. The augmented dataset was the only factor affecting classification accuracy in the final five epochs. In contrast, four factors in the entire epoch, such as the Adam and SGD optimizers and the earlywood-part and whole-part datasets, affected species classification. The arrangement of earlywood vessels, broad rays, and axial parenchyma was identified as a major influential factor in the CNN species classification using gradient-weighted class activation mapping (Grad-CAM) analysis. The augmented whole-part dataset with the Adam optimizer achieved the highest classification accuracy of 85.7% during the final five epochs of the test phase.

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Macroscopic and Microscopic Anatomical Characteristics of Six Korean Oak Species

Cited by 2 publications

References 24 publications

Radial Variation of Wood Anatomical Characteristics and Maturation Ages of Six Korean Oak Species

Radial Variation of Wood Anatomical Characteristics and Maturation Ages of Six Korean Oak Species

Performance of convolutional neural network (CNN) and performance influencing factors for wood species classification of Lepidobalanus growing in Korea

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