Skip to content
Wood Research
Menu
  • Home
  • Author guidelines
  • Journal Issues
  • Contact

Wood species identification based on an ensemble of deep convolution neural networks

Authors

  • Tao He

    Zhejiang A&F University, China

  • Shibiao Mu

    Yiwu Industrial & Commercial College, China

  • Houkui Zhou

    Zhejiang A&F University, China

  • Junguo Hu

    Zhejiang A&F University, China

Post Views: 239
Posted in WOOD RESEARCH Volume 66, Number 1, 2021Tagged deep convolution neural networks, ensemble framework, macroscopic images, wood identification

Search for a Keyword

Cite This Article

HE, T., MU, S., ZHOU, H. & HU, J. (2021): Wood species identification based on an ensemble of deep convolution neural network. In: Wood Research 66 (1), 1-14 pp., available at: doi.org/10.37763/wr.1336-4561/66.1.0114

Articles in this Release

  • Wood species identification based on an ensemble of deep convolution…

  • Thermogravimetric analysis, differential scanning calorimetry and time-to-ignition of wood materials…

  • Experimental and numerical studies on mechanical behaviors of beech wood…

  • The concentration of selected heavy metals in poplar wood biomass…

  • Study on the structure and properties of poly(3-hydroxybutyrate-co-4-hydroxybutyrate)/ rubber wood…

  • Antioxidant activity of Swietenia macrophylla king bark extracts

  • Comparison of thermal transfer and inkjet printing of UHF RFID…

  • Effect of silica on alkaline bagasse cellulose and softwood cellulose

  • Effects of light thermal treatments on the color, hygroscopity and…

  • Cross-correlation of color and acidity of wet beech wood in…

  • Wood properties comparation of Cedrela odorata from trees in agroforestry…

  • Effect of hot pressing modification on surface properties of rubberwood…

  • Study on lamb wave propagation characteristics along the grain of…

  • Analysis of cutting force in the process of chipless felling…

  • Synthesis and characterization of resol type phenol-formaldehyde resin improved by…

Copyright © 2024 Wood Research – VUPC, a.s. (Pulp and Paper Research Institute)