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Journal of Forestry Research

, Volume 13, Issue 3, pp 245–249 | Cite as

Review on the proceeding of automatic seedlings classification by computer vision

  • Yang Yan-zhu
  • Zhao Xue-zeng
  • Wang Wei-jie
  • Wu Xian
Article

Abstract

The classification of seedlings is important to ensure the viability of seedlings after transplantation and is acknowledged as a key factor in forestation and environmental improvement. Based on numerous papers on automatic seedling classification (ASC), the seedling grading theory, traditional grading methods, the background and the proceeding of ASC techniques are described. The automation of the measurement of seedling morphological characteristics by photoelectric meters and computer vision is studied, and the automatic methods of the current grading systems are described respectively. And the further researches on ASC by computer vision are proposed.

Keywords

Seedlings classification Automation Morphological characteristic Computer vision 

CLC number

S753.1 

Document code

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Copyright information

©  0271 0304 V 2 2002

Authors and Affiliations

  • Yang Yan-zhu
    • 1
  • Zhao Xue-zeng
    • 1
  • Wang Wei-jie
    • 1
  • Wu Xian
    • 1
  1. 1.Harbin Institute of TechnologyHarbinP. R. China

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