Title :
Determination of zeleny subsidence value of wheat based on Near Infrared Transmittance Spectroscopy
Author :
Hexiao, Liu ; Laijun, Sun ; Mingliang, Liu ; Haibo, Qian ; Xululu ; Lekai, Wang ; Changjun, Dai ; Ping, Su ; Yonghua, Ma
Author_Institution :
Key Lab. of Electron. Eng., Heilongjiang Univ., Harbin, China
Abstract :
The subsidence value is an synthesis target to evaluate the wheat quality. NIRS (Near Infrared Transmittance Spectroscopy) is a new method for quality analysis of wheat with its quick, simple, accurate and nondestructive characteristic. In this paper, spectral data were dealt with moving window average method and second differential and SNV analysis firstly, on the basis of which, the partial least squares model was established. The experiment results indicated that the R and MSE were 0.9809 and 0.1130 respectively. In contrast with the calibration model built with the original data, the predicted results can basically complete the grain reserves and the food processing profession division and the breeding preliminary generation.
Keywords :
food processing industry; food products; infrared spectra; least squares approximations; quality control; Zeleny subsidence value; breeding preliminary generation; food processing profession division; moving window average method; near infrared transmittance spectroscopy; partial least squares model; second differential analysis; wheat quality; wheat subsidence value; Absorption; Calibration; Data models; Noise; Predictive models; Smoothing methods; Spectroscopy; PLS; near infrared transmittance spectroscopy; pretreatments of spectrum data; subsidence value; wheat;
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
DOI :
10.1109/ICAE.2011.5943946
