DocumentCode :
2619804
Title :
Determination of Total Amino Acids in Oilseed Rape Leaves Using Near Infrared Spectroscopy and Chemometrics
Author :
Liu, Fei ; Zhang, Fan ; Fang, Hui ; Zhou, Weijun ; He, Yong
Author_Institution :
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
Volume :
7
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
10
Lastpage :
13
Abstract :
Near infrared spectroscopy combined with chemometrics was investigated to determine the total amino acids (TAA) in oilseed rape leaves. The samples in calibration, validation and prediction set were 80, 40 and 30, respectively. Different spectral preprocessing were compared, and three calibration methods were employed including partial least squares (PLS), multiple linear regression (MLR) and least squares-support vector machine (LS-SVM). The performance evaluation standards were determination coefficients (R2) and root mean square error (RMSE). Successive projections algorithm (SPA) was applied as variable selection method. The optimal model was achieved by SPA-LS-SVM using 13 relevant wavelengths with R2 = 0.9830 and RMSEP = 0.3964. The LS-SVM outperformed PLS and SPA-MLR models. The results indicated that near infrared spectroscopy was successfully applied for the determination of TAA in oilseed rape leaves. This detection method could be used for the on field monitoring of growing status and other physiological parameters of oilseed rape.
Keywords :
biochemistry; crops; infrared spectra; organic compounds; regression analysis; spectrochemical analysis; amino acids; chemometrics; least squares support vector machine; multiple linear regression; near infrared spectroscopy; oilseed rape leaves; partial least squares; Amino acids; Calibration; Condition monitoring; Infrared spectra; Input variables; Least squares methods; Linear regression; Projection algorithms; Root mean square; Vectors; least squares-support vector machine; near infrared spectroscopy; oilseed rape; successive projections algorithm; total amino acids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.899
Filename :
5170270
Link To Document :
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