Development of an image algorithm to assess changes in leaf pigments content of fresh-cut spinach and lettuce leaves.

Lunadei, Loredana and Cantalapiedra, Susana and Lleó García, Lourdes and Diezma Iglesias, Belen (2010). Development of an image algorithm to assess changes in leaf pigments content of fresh-cut spinach and lettuce leaves.. In: "International Conference on Agricultural Engineerig. AgEng 2010. Towards Environmental Technologies", 06/06/2010 - 08/09/2010, Clermont-Ferrand, Francia.

Description

Title: Development of an image algorithm to assess changes in leaf pigments content of fresh-cut spinach and lettuce leaves.
Author/s:
  • Lunadei, Loredana
  • Cantalapiedra, Susana
  • Lleó García, Lourdes
  • Diezma Iglesias, Belen
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Agricultural Engineerig. AgEng 2010. Towards Environmental Technologies
Event Dates: 06/06/2010 - 08/09/2010
Event Location: Clermont-Ferrand, Francia
Title of Book: proceedings of the International Conference on Agricultural Engineerig. AgEng 2010. Towards Environmental Technologies
Date: 2010
Subjects:
Freetext Keywords: Ready-to-use; green leaves; machine vision
Faculty: E.U.I.T. Agrícolas (UPM)
Department: Ciencia y Tecnología Aplicadas a la Ingeniería Técnica Agrícola [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 aim of this work was to develop an image algorithm to detect changes in colour related with changes in leaf pigments content in leafy spinach during storage. The experiment was carried out on packed ready-to-use spinach stored at 4.5 °C. Seventy-five leaves of spinach were analyzed at zero time and after storage for 7, 14 and 21 days. Multispectral images were acquired in the red (R), infrared (IR) and blue (B) regions. Virtual images were calculated on the basis of spectral indexes usually employed for estimation of leaf pigment content. By considering the sensitive bands to chlorophyll and carotenoids, new virtual images were proposed. A no supervised classification was applied to the obtained virtual images and the results were evaluated according to colorimetric measurements (CIE L*a*b* coordinates). The new proposed indexes were able to correctly classify a high percentage of the samples according to the colour evolution.

More information

Item ID: 8000
DC Identifier: http://oa.upm.es/8000/
OAI Identifier: oai:oa.upm.es:8000
Official URL: http://ageng2010.com/
Deposited by: Memoria Investigacion
Deposited on: 08 Jul 2011 09:03
Last Modified: 03 Nov 2016 17:01
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