• DocumentCode
    1902575
  • Title

    Assessment of Chlorophyll Content Based on Image Color Analysis, Comparison with SPAD-502

  • Author

    Hu, Hao ; Liu, He-qin ; Zhang, Hao ; Zhu, Jing-huan ; Yao, Xu-guo ; Zhang, Xiao-bin ; Zheng, Ke-feng

  • Author_Institution
    Inst. of Digital Agric., Zhejiang Acad. of Agric. Sci., Hangzhou, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Leaf color has been commonly used as an index for crop stress status diagnosis. We have developed a low-cost and non-destructive method that is easy to use to assess the health status of plants, based on the estimation of chlorophyll content of leaves using a portable digital camera. Relationships between chlorophyll content and leaf image color indices in the RGB and Lab* space with the comparison of SPAD are examined. The RGB color indices of R, G and R+G+B, R-B, R+B, R+G and The Lab* space parameters L*, a* and b* had the significant relationship with chlorophyll content. Although the determination coefficient and prediction confidence intervals of color indices regression were not good than SPAD, the leave imaged tools had the profit of easy operation, found everywhere and no much money cost. The indices from leaf color image analysis maybe used to estimate chlorophyll content.
  • Keywords
    crops; image colour analysis; RGB color indices; SPAD; SPAD-502; chlorophyll content assessment; crop stress status diagnosis; image color analysis; leaf color; portable digital camera; Agriculture; Correlation; Digital cameras; Image color analysis; Indexes; Pigments; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678413
  • Filename
    5678413