Study on Near-infrared Spectroscopy Signal Pre-processing and Model Building

Author

Xiaochao, Zhang ; Yinqiao, Zhang ; Wang Hui

Author_Institution

Inst. of Mechatron. Technol. & Applic., Chinese Acad. of Agric. Mechanization Sci., Beijing

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

618

Lastpage

622

Abstract

The technology of near-infrared spectroscopy analysis plays a very important role in quality detection of farm produce. This thesis analyzed grainy wheat quality with 900 nm-1700 nm wave raster near-infrared spectroscopy analysis system, filtered signal with wavelet packet analyses system, disposed signal with second order differential equipment, built and contrasted models of partial least square (PLS) and support vector machines (SVM). The results showed that the near-infrared spectroscopy analysis system can suit farm produce quality analysis well.

Keywords

farming; filtering theory; infrared spectroscopy; quality management; support vector machines; farm produce quality analysis; grainy wheat quality; model building; near-infrared spectroscopy signal preprocessing; partial least square; quality detection; second order differential equipment; signal filtering; support vector machines; wavelet packet analyses system; Chemical technology; Food technology; Least squares methods; Predictive models; Signal analysis; Signal processing; Spectroscopy; Support vector machines; Wavelet analysis; Wavelet packets; Support Vector Machines; grain; near-infrared Spectroscopy; quality analyses; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control, 2009. ICACC '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3330-8

Type

conf

DOI

10.1109/ICACC.2009.23

Filename

4777416