New Zealand Journal of Agricultural Research abstracts
Non-destructive estimation peach SSC and firmness by mutispectral
reflectance imaging
Liu Muhua
Fu Peng
Cheng Renfa
Engineering College
Jiangxi Agricultural University
Nangchang, China
suikelmh@sohu.com
Abstract Mutispectral reflectance imaging combined with
multi-linear analysis appears as a new, efficient and cheap method for
detecting soluble solids content (SSC) and firmness of peach. Six
hundred spectral images from a combination of filter 632, 650, 670,
780, 850, and 900 nm were acquired for each peach sample. The
Lorentzian distribution (LD), Gaussian distribution (GD) and
Exponential distribution (ED) with three parameters were used to fit
scattering profiles of each spectral imaging. LD was found to be the
best function for fitting gray distribution of imaging. The
multi-linear regression model was developed relating Lorentzian
parameters to fruit firmness and SSC using a single wavelength, double
wavelengths, three wavelengths and four wavelengths respectively. The
best model with four wavelengths was able to predict peach flesh
firmness with r = 0.949, standard error of prediction (SEP)
= 1.56 N, and predict peach SSC with r = 0.970, SEP =
0.69° Brix. Results show that the multispectral scattering imaging
is a non-destructive, fast and cheap method for estimating fruit SSC
and firmness.
Keywords firmness; multi-linear
regression; multispectral
imaging; peach; soluble solids content
A07067; Online publication date 4 December 2007; Received and
accepted 10 August 2007
New Zealand Journal of Agricultural Research, 2007, Vol. 50:
601–608
0028–8233/07/5004–0601 © The Royal Society of New Zealand 2007
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