T1 Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine
A1 Munera, Sandra
A1 Amigo, Jose Manuel
A1 Aleixos, Nuria
A1 Talens, Pau
A1 Cubero, Sergio
A1 Blasco, Jose
K1 Stone fruit
K1 Quality control
K1 Cultivar discrimination
K1 Non-destructive
K1 PLS-DA
K1 Colour analysis
K1 Hyperspectral image
K1 Q01  Food science and technology
K1 Stone fruits
K1 Cultivars
K1 Quality controls
K1 Image processing
AB Product inspection is essential to ensure good quality and to avoid fraud. New nectarine cultivars with similar external appearance but different physicochemical properties may be mixed in the market, causing confusion and rejection among consumers, and consequently affecting sales and prices. Hyperspectral reflectance imaging in the range of 450–1040 nm was studied as a non-destructive method to differentiate two cultivars of nectarines with a very similar appearance but different taste. Partial least squares discriminant analysis (PLS-DA) was used to develop a prediction model to distinguish intact fruits of the cultivars using pixel-wise and mean spectrum approaches, and then the model was projected onto the complete surface of fruits allowing visual inspection. The results indicated that mean spectrum of the fruit was the most accurate method, a correct discrimination rate of 94% being achieved. Wavelength selection reduced the dimensionality of the hyperspectral images using the regression coefficients of the PLS-DA model. An accuracy of 96% was obtained by using 14 optimal wavelengths, whereas colour imaging and a trained inspection panel achieved a rate of correct classification of only 57% of the fruits.
PB Elsevier
SN 0956-7135
YR 2018
FD 2018
LK http://hdl.handle.net/20.500.11939/5740
UL http://hdl.handle.net/20.500.11939/5740
LA en
NO Munera S, Amigo J.M., Aleixos N, Talens P, Cubero S, Blasco J (2018). Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine. Food Control, 86, 1-10.
DS MINDS@UW
RD Feb 20, 2019