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
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