Share Email Print

Proceedings Paper

Harvest-time prediction of apple physiological indices using fiber optic Fourier transform near-infrared spectrometer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This work evaluates the feasibility of Fourier transform near infrared (FT-NIR) spectrometry for rapid determining the total soluble solids content and acidity of apple fruit. Intact apple fruit were measured by reflectance FT-NIR in 800-2500 nm range. FT-NIR models were developed based on partial least square (PLS) regression and principal component regress (PCR) with respect to the reflectance and its first derivative, the logarithms of the reflectance reciprocal and its second derivative. The above regression models, related the FT-NIR spectra to soluble solids content (SSC), titratable acidity (TA) and available acidity (pH). The best combination, based on the prediction results, was PLS models with respect to the logarithms of the reflectance reciprocal. Predictions with PLS models resulted standard errors of prediction (SEP) of 0.455, 0.044 and 0.068, and correlation coefficients of 0.968, 0.728 and 0.831 for SSC, TA and pH, respectively. It was concluded that by using the FT-NIR spectrometry measurement system, in the appropriate spectral range, it is possible to nondestructively assess the maturity factors of apple fruit.

Paper Details

Date Published: 14 December 2004
PDF: 13 pages
Proc. SPIE 5589, Fiber Optic Sensor Technology and Applications III, (14 December 2004); doi: 10.1117/12.569947
Show Author Affiliations
Yande Liu, Zhejiang Univ. (China)
Jiangxi Agricultural Univ. (China)
Yibin Ying, Zhejiang Univ. (China)
Huishan Lu, Zhejiang Univ. (China)
Xiaping Fu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 5589:
Fiber Optic Sensor Technology and Applications III
Michael A. Marcus; Brian Culshaw; John P. Dakin, Editor(s)

© SPIE. Terms of Use
Back to Top