Multiple-Factor Nondestructive Detection of Moldy Core in Apples Based on Transmission Spectra

doi:10.7506/spkx1002-6630-201608037

Abstract

Abstract:

Currently, the detection of moldy core in apples is still a problem. This study aimed to develop a method for
multiple-factor nondestructive detection of moldy core in apples based on transmission spectra. We built a discriminant
model which enables nondestructive detection of moldy core in apples based on both multiple-band transmission spectrum
and apple diameter. A spectrum acquisition platform was constructed to acquire the transmission spectra (200–1 025 nm) of
232 apples. and their diameters were measured with a vernier caliper. Stray light correction and nonlinearity correction were
used to preprocess the original spectra. Based on the collected transmission spectra, transmitted intensity in 12 wavebands
which were the most relevant to moldy core of apples, were selected and combined. The diameter data were analyzed by
principal component analysis (PCA). The Fisher discriminate model was developed using the PCA results as independent
variables and verified. The overall accuracy rate was 93.1%, while that of the spectral model was 91.37%. In conclusion, the
multiple-factor modeling based on transmission intensity and diameter permits accurate detection of moldy core in apples.
This research can provide feasible ideas for rapid, non-destructive detection of moldy core in apples.

Key words: moldy core in apples, specific waveband, transmission spectrum, nondestructive detection, principal component analysis (PCA), Fisher discriminant analysis

CLC Number:

S123
S661.1

SU Dong, ZHANG Haihui, CHEN Ketao, HU Jin, ZHANG Zuojing, LEI Yu. Multiple-Factor Nondestructive Detection of Moldy Core in Apples Based on Transmission Spectra[J]. FOOD SCIENCE, doi: 10.7506/spkx1002-6630-201608037.

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Multiple-Factor Nondestructive Detection of Moldy Core in Apples Based on Transmission Spectra

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