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, José 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 Jan 21, 2021