NDLI: Nondestructive Discrimination of Peach Varieties Using Near Infrared Spectroscopy

Content Provider	IEEE Xplore Digital Library
Author	Xiaoli Li Yong He Yilang Cen
Copyright Year	2006
Description	Author affiliation: Coll. of Biosyst. Eng. & Food Sci., Zhejiang Univ., Hangzhou (Xiaoli Li; Yong He; Yilang Cen)
Abstract	A new method for the discrimination of peach varieties by Vis/near infrared reflectance spectroscopy (NIRS) (325-1075nm) was developed. A relationship has been established between the reflectance spectra and peach varieties. The set was consisted of a total of 90 samples of peaches. First, the data was analyzed by principal component analysis (PCA). PCA compressed thousands of spectral data into a small quantity of principal components, which described the main information of the spectra. Then the first 8 principal components from PCA were used as inputs of a back propagation neural network with one hidden layer. 75 samples were selected randomly from three varieties and used as the training set to build BP-ANN model. This model was used to predict the varieties of 15 unknown samples. The residual error of regression was $2.431times10^{-3},$ and the accuracy was 100%. The result of the PCA-BPNN method is much better than that of the PCA method. It is concluded that Vis/NIRS is a good method for the discrimination of peach varieties based on PCA-BPNN
Starting Page	5377
Ending Page	5381
File Size	104809
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1714098
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared spectra Principal component analysis Reflectivity Spectroscopy Linear discriminant analysis Reflection Helium Data analysis Neural networks Predictive models ANN Vis/NIR spectroscopy Non-destructive technique Peach principal component analysis (PCA)
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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