Examination of the quality of spinach leaves using hyperspectral imaging

Diezma Iglesias, Belen and Lleó García, Lourdes and Roger, Jean-Michel and Herrero Langreo, Ana and Lunadei, Loredana and Ruiz-Altisent, Margarita (2013). Examination of the quality of spinach leaves using hyperspectral imaging. "Postharvest Biology And Technology", v. 85 ; pp. 8-17. ISSN 0925-5214. https://doi.org/10.1016/j.postharvbio.2013.04.01.

Description

Title: Examination of the quality of spinach leaves using hyperspectral imaging
Author/s:
  • Diezma Iglesias, Belen
  • Lleó García, Lourdes
  • Roger, Jean-Michel
  • Herrero Langreo, Ana
  • Lunadei, Loredana
  • Ruiz-Altisent, Margarita
Item Type: Article
Título de Revista/Publicación: Postharvest Biology And Technology
Date: November 2013
ISSN: 0925-5214
Volume: 85
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The present research is focused on the application of hyperspectral images for the supervision of quality deterioration in ready to use leafy spinach during storage (Spinacia oleracea). Two sets of samples of packed leafy spinach were considered: (a) a first set of samples was stored at 20 °C (E-20) in order to accelerate the degradation process, and these samples were measured the day of reception in the laboratory and after 2 days of storage; (b) a second set of samples was kept at 10 °C (E-10), and the measurements were taken throughout storage, beginning the day of reception and repeating the acquisition of Images 3, 6 and 9 days later. Twenty leaves per test were analyzed. Hyperspectral images were acquired with a push-broom CCD camera equipped with a spectrograph VNIR (400–1000 nm). Calibration set of spectra was extracted from E-20 samples, containing three classes of degradation: class A (optimal quality), class B and class C (maximum deterioration). Reference average spectra were defined for each class. Three models, computed on the calibration set, with a decreasing degree of complexity were compared, according to their ability for segregating leaves at different quality stages (fresh, with incipient and non-visible symptoms of degradation, and degraded): spectral angle mapper distance (SAM), partial least squares discriminant analysis models (PLS-DA), and a non linear index (Leafy Vegetable Evolution, LEVE) combining five wavelengths were included among the previously selected by CovSel procedure. In sets E-10 and E-20, artificial images of the membership degree according to the distance of each pixel to the reference classes, were computed assigning each pixel to the closest reference class. The three methods were able to show the degradation of the leaves with storage time.

More information

Item ID: 19012
DC Identifier: http://oa.upm.es/19012/
OAI Identifier: oai:oa.upm.es:19012
DOI: 10.1016/j.postharvbio.2013.04.01
Official URL: http://www.sciencedirect.com/science/article/pii/S0925521413001427
Deposited by: Memoria Investigacion
Deposited on: 06 Sep 2013 17:03
Last Modified: 03 Nov 2016 16:09
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