苹果品质检测的可见-近红外激光漫反射光谱图像法的方法研究

doi:10.3964/j.issn.1000-0593.2008.06.005

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Abstract In the present study, improved laser-induced light backscattering imaging was studied regarding its potential for analyzing apple SSC and fruit flesh firmness. Images of the diffuse reflection of light on the fruit surface were obtained from Fuji apples using laser diodes emitting at five wavelength bands (680, 780, 880, 940 and 980 nm). Image processing algorithms were tested to correct for dissimilar equator and shape of fruit, and partial least squares (PLS) regression analysis was applied to calibrate on the fruit quality parameter. In comparison to the calibration based on corrected frequency with the models built by raw data, the former improved r from 0.78 to 0.80 and from 0.87 to 0.89 for predicting SSC and firmness, respectively. Comparing models based on mean value of intensities with results obtained by frequency of intensities, the latter gave higher performance for predicting Fuji SSC and firmness. Comparing calibration for predicting SSC based on the corrected frequency of intensities and the results obtained from raw data set, the former improved root mean of standard error of prediction (RMSEP) from 1.28° to 0.84°Brix. On the other hand, in comparison to models for analyzing flesh firmness built by means of corrected frequency of intensities with the calibrations based on raw data, the former gave the improvement in RMSEP from 8.23 to 6.17 N·cm^－2.

Key words：Vis-NIR;Laser diffuse reflecting images;Frequency of intensities;SSC;Firmness;Fuji apple;Corrected algorithm

Received: 2007-01-19 Accepted: 2007-04-26

ZTFLH:	O657.3
	S37
	TP391

Corresponding Authors: JI Bao-ping E-mail: jbp@cau.edu.cn

Cite this article:

QING Zhao-shen,JI Bao-ping,SHI Bo-lin, et al. Improving Apple Fruit Quality Predictions by Effective Correction of Vis-NIR Laser Diffuse Reflecting Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(06): 1273-1277.

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http://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593.2008.06.005 OR http://www.gpxygpfx.com/EN/Y2008/V28/I06/1273

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