Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/47520
Title: Hazelnut Quality Sorting Using High Dynamic Range Short-Wave Infrared Hyperspectral Imaging
Authors: Moscetti, Roberto 
Saeys, Wouter
Keresztes, Janos C.
Goodarzi, Mohammad
Cecchini, Massimo 
Monarca, Danilo 
Massantini, Riccardo 
Journal: FOOD AND BIOPROCESS TECHNOLOGY 
Issue Date: 2015
Abstract: 
A rapid, robust, unbiased, and inexpensive discriminant method capable of classifying hazelnut (Corylus avellana, L.) in compliance with the statements set out by the Commission Regulation (EC) No. 1284/2002 is economically important to the fresh and processed industries. Thus, in this study, the feasibility of high dynamic range (HDR) hyperspectral imaging for hazelnut kernel sorting (cv. Tonda Gentile Romana) of four quality classes (Class Extra, Class I, Class II, and Waste) has been investigated. Two different exposure times (5 and 8 ms) were selected for experiments, and the respective spectra were combined to obtain a HDR over the full spectral range. The illumination setup was optimized to improve the intensity and uniformity of the light along the field of view of the camera. PLS-DA was used to classify the kernels based on their spectra and the spectral pretreatment was optimized through an iterative routine. The performance of each PLS-DA model was defined based on its accuracy, sensitivity, and selectivity rates. All of the selected models provided a very good (>90 %) or good (>80 %) sensitivity and selectivity for the predefined classes. Misclassified kernels were primarily assigned to the low-quality classes (i.e., Class II and Waste). Moreover, the spatial domain was used to evaluate the feasibility of distinguishing hazelnut classes on the basis of their size and shape. It was found that hazelnut dimensions can be used to improve the accuracy of the classification of the kernels. Thanks to this combination of both spectral and spatial information spectral imaging could be used for quality sorting of hazelnuts.
URI: http://hdl.handle.net/2067/47520
ISSN: 1935-5130
DOI: 10.1007/s11947-015-1503-2
Rights: Attribution 4.0 International
Appears in Collections:A1. Articolo in rivista

Files in This Item:
File Description SizeFormat
hazelnut swir.pdf4.01 MBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations 5

37
Last Week
0
Last month
checked on Oct 4, 2022

Page view(s)

51
Last Week
0
Last month
1
checked on Oct 7, 2022

Download(s)

8
checked on Oct 7, 2022

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons