• DocumentCode
    534972
  • Title

    The research on chlorophyll content in vivo-leaf based on non-destructive testing by fiber spectrometer

  • Author

    Sheng, Yi ; He, ZhiWei ; Zhang, Hui

  • Author_Institution
    Coll. of Sci., China Agric. Univ., Beijing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3074
  • Lastpage
    3076
  • Abstract
    In the agricultural research of crop yield estimation and surveillance, it is important to find out the way to detect the chlorophyll content of crops exactly and quickly. In this paper, we used the chlorophyll content of live corn leaves as the research object. Utilizing the portable fiber spectrometer, we detected the absorption spectra of live corn leaves, and set up an absolute quantitative analysis model for detecting the chlorophyll content by stoichiometry. Matlab was used as arithmetic language, and for convenience, it was equipped with a friendly graphical interface. The experiment results show that the correlation coefficients of the predicted value and the metrical one through chemical method are all above 0.9. This method explores the feasibility for non-destructive testing in chlorophyll content of vivo leaves, and which can be used for rapid detection of the chlorophyll content in field crop.
  • Keywords
    chemical analysis; crops; graphical user interfaces; nondestructive testing; research and development; stoichiometry; Matlab; absolute quantitative analysis model; absorption spectra detection; agricultural research; arithmetic language; chlorophyll content detection; correlation coefficients; crop yield estimation; friendly graphical interface; live corn leaves; nondestructive testing; portable fiber spectrometer; stoichiometry; vivo leaf; Agriculture; Analytical models; Mathematical model; Object oriented modeling; Predictive models; Software; Software algorithms; Chlorophyll; Fiber spectrometer; Partial Least-squares Regression; Principal Component Regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646171
  • Filename
    5646171