Related references
Note: Only part of the references are listed.Deposition patterns of feruloylarabinoxylan during cell wall formation in moso bamboo
Noriaki Munekata et al.
PLANTA (2022)
Spectrometric Classification of Bamboo Shoot Species by Comparison of Different Machine Learning Methods
Long Tong et al.
FOOD ANALYTICAL METHODS (2021)
Intelligent analysis technology of bamboo structure. Part I: The variability of vascular bundles and fiber sheath area
Jing Li et al.
INDUSTRIAL CROPS AND PRODUCTS (2021)
Intelligent analysis technology of bamboo structure. Part II: The variability of radial distribution of fiber volume fraction
Haocheng Xu et al.
INDUSTRIAL CROPS AND PRODUCTS (2021)
Evaluation of image partitioning strategies for preserving spatial information of cross-sectional micrographs in automated wood recognition of Fagaceae
Sung-Wook Hwang et al.
JOURNAL OF WOOD SCIENCE (2021)
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review
Sung-Wook Hwang et al.
PLANT METHODS (2021)
Detection and visualization of encoded local features as anatomical predictors in cross-sectional images of Lauraceae
Sung-Wook Hwang et al.
JOURNAL OF WOOD SCIENCE (2020)
Developing deep learning models to automate rosewood tree species identification for CITES designation and implementation
Tuo He et al.
HOLZFORSCHUNG (2020)
Anatomical features of Fagaceae wood statistically extracted by computer vision approaches: Some relationships with evolution
Kayoko Kobayashi et al.
PLOS ONE (2019)
Automated identification of Lauraceae by scale-invariant feature transform
Sung-Wook Hwang et al.
JOURNAL OF WOOD SCIENCE (2018)
Classification of CITES-listed and other neotropical Meliaceae wood images using convolutional neural networks
Prabu Ravindran et al.
PLANT METHODS (2018)
Lignification in developing culms of bamboo Sinobambusa tootsik
Taku Tsuyama et al.
JOURNAL OF WOOD SCIENCE (2017)
The Mechanism of Improvement of Physical Properties of Moso Bamboo (Phyllostachys pubescens) with Increasing Age II.
Tomoaki Kiryu et al.
MOKUZAI GAKKAISHI (2017)
Bamboo-inspired optimal design for functionally graded hollow cylinders
Motohiro Sato et al.
PLOS ONE (2017)
Morphological, Mechanical, and Physical Properties of Four Bamboo Species
Parnia Zakikhani et al.
BIORESOURCES (2017)
Bending strength and nondestructive evaluation of structural bamboo
Ruy A. Sa Ribeiro et al.
CONSTRUCTION AND BUILDING MATERIALS (2017)
The Mechanism of Improvement of Physical Properties of Moso Bamboo (Phyllostachys pubescens) with Increasing Age I. Relationship between modulus of elasticity in bending and cell wall thickness and/or percentage of cell walls
Tomoaki Kiryu et al.
MOKUZAI GAKKAISHI (2016)
Self-adaptive formation of uneven node spacings in wild bamboo
Hiroyuki Shima et al.
PHYSICAL REVIEW E (2016)
Bamboo: A new source of carbohydrate for biorefinery
Ming-xiong He et al.
CARBOHYDRATE POLYMERS (2014)
Development of a hollow cylinder test for the elastic modulus distribution and the ultimate strength of bamboo
Po-Hua Lee et al.
CONSTRUCTION AND BUILDING MATERIALS (2014)
Vascular bundle shape in cross-section and relaxation properties of Moso bamboo (Phyllostachys pubescens)
Eisuke Kanzawa et al.
MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS (2011)
Variability in fibre and parenchyma cell walls of temperate and tropical bamboo culms of different ages
Bieke Lybeer et al.
WOOD SCIENCE AND TECHNOLOGY (2006)
Lignification and lignin heterogeneity for various age classes of bamboo (Phyllostachys pubescens) stems
JX Lin et al.
PHYSIOLOGIA PLANTARUM (2002)
Share Paper
