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Postharvest monitoring of organic potato (cv. Anuschka) during hot-air drying using Vis/NIR hyperspectral imaging Organic Eprints
Moscetti, Roberto; Sturm, Barbara; Crichton, Stuart O.J.; Amjad, Waseem; Massantini, Riccardo.
BACKGROUND The potential of hyperspectral imaging (500–1010 nm) was evaluated for monitoring of the quality of potato slices (var. Anuschka) of 5, 7 and 9 mm thickness subjected to air drying at 50 °C. The study investigated three different feature selection methods for the prediction of dry basis moisture content and colour of potato slices using partial least squares regression (PLS). RESULTS The feature selection strategies tested include interval PLS regression (iPLS), and differences and ratios between raw reflectance values for each possible pair of wavelengths (R[λ1]–R[λ2] and R[λ1]:R[λ2], respectively). Moreover, the combination of spectral and spatial domains was tested. Excellent results were obtained using the iPLS algorithm. However,...
Tipo: Journal paper Palavras-chave: Processing; Packaging and transportation.
Ano: 2017 URL: http://orgprints.org/32359/1/UNITUS_Postharvestmonitoringoforganicpotato%20%28cv.Anuschka%29duringhot-airdryingusing%20visible%E2%80%93NIRhyperspectralimaging.pdf
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Hyperspectral imaging for the determination of potato slice moisture content and chromaticity during the convective hot air drying process Organic Eprints
Amjad, Waseem; Crichton, Stuart O.J.; Munir, Anjum; Hensel, Oliver; Sturm, Barbara.
Hyperspectral imaging (HSI) was utilised for the determination of moisture content of potato slices with three thicknesses (5 mm, 7 mm, 9 mm) at three drying temperatures (50 °C, 60 °C, 70 °C) during convective drying in a laboratory hot air dryer. The Page, thin-layer drying model was found better to explain the drying kinetics with a fitting accuracy of R2 (0.96–0.99) and lowest reduced Chi-square (0.00024–0.00090), Root mean square errors (RMSE) (0.014–0.026), and relative percentage error (1.5%–5.1%) under the used drying conditions. Spectral data were analysed using partial least squares regression (PLS) analysis, a multivariate calibration technique, alongside Monte Carlo Uninformative Variable Elimination (MCUVE-PLS) and competitive adaptive...
Tipo: Journal paper Palavras-chave: Processing; Packaging and transportation.
Ano: 2018 URL: http://orgprints.org/32984/1/waseem-etal-2018-BiosysEngineering-Vol166-p170-183.pdf
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Batch drying of potato slices: Kinetic changes of quality parameters (colour & shrinkage) in response of uniformly distributed drying temperature CIGR Journal
Amjad, Waseem; Hensel, Oliver; Munir, Anjum.
Uniform quality drying throughout the drying chamber of a dryer is important for a quality oriented drying process. The final quality of dried products significantly depends upon the drying temperature. A batch type dryer was developed for uniform air distribution. ANSYS-fluent was used to analyse the temperature distribution in the dryer. To assess the effect of drying temperature homogeneity on quality parameters, color and shrinkage of potato slices (6 mm thick) at 60° C were measured. The color parameters were quantified in CIELAB color space system. The shrinkage of slices (20 mm round samples) was measured using image analysis software. The rate of color change was found uniform at all sections of drying chamber with high value of R2. The kinetics of...
Tipo: Info:eu-repo/semantics/article
Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3265
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