DocumentCode :
1592063
Title :
Research on the Firmness of Persimmon by Near_Infrared Diffuse Reflectance Spectroscopy
Author :
Haihong Zhang ; Shujuan Zhang ; Fenghua Wang ; Dengfei Jie
Author_Institution :
Coll. of Eng. & Technol., Shanxi Agric. Univ., Taigu, China
fYear :
2010
Firstpage :
455
Lastpage :
459
Abstract :
The purpose of this study is to establish the mathematical relationship between visible and Near_ Infrared (Vis_NIR) Diffuse Reflectance Spectroscopy and firmness of persimmon in order to evaluate the applicability of Vis_NIR Spectroscopy technique for non-destructive measurement of the firmness of persimmon. The FieldSpec 3 spectroradiometer was used to collect 22 samples spectra data of the three kinds of persimmon in same position of the equatorial position separately. Then a fruit sclerometer was used to measure the firmness of samples in the same position. The principal component regression (PCR) and partial least square (PLS) regression were used to establish mathematical model for analyzing the firmness of persimmon with three kinds of spectral data which were pretreated by absorbency log(1/R), the first derivative D1log(1/R) and the second derivative D1log(1/R) first. The results showed that the best prediction results were obtained, which is based on absorbency log(1/R) at equatorial position of persimmon with PLS model. The correlation coefficient of calibration set is 0.8929, and the root mean standard error of correction (RMSEC) is 0.4398N. The principal component regression (PCR) and partial least square (PLS) regression were used to analyze the firmness of persimmon using the pretreated absorbency log(1/R) data. The results also showed that the fine prediction results were obtained, which is based on the absorbency log(1/R) data of persimmon with PLS model. The correlation coefficient of prediction set is 0.9682, and the root mean standard error of correction (RMSEC) is 0.2776N. Vis_NIR spectroscopy is a fast and available method for non-destructive of firmness of persimmon.
Keywords :
agricultural products; least squares approximations; nondestructive testing; principal component analysis; regression analysis; visible spectra; FieldSpec 3 spectroradiometer; fruit sclerometer; mathematical model; near-infrared diffuse reflectance spectroscopy; non-destructive measurement; partial least square regression; persimmon; principal component regression; root mean standard error of correction; Calibration; Correlation; Helium; Predictive models; Reflectivity; Software; Spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665522
Link To Document :
بازگشت