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

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

Descripción

Título: Development of an image algorithm to assess changes in leaf pigments content of fresh-cut spinach and lettuce leaves.
Autor/es:
  • Lunadei, Loredana
  • Cantalapiedra, Susana
  • Lleó García, Lourdes
  • Diezma Iglesias, Belen
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Agricultural Engineerig. AgEng 2010. Towards Environmental Technologies
Fechas del Evento: 06/06/2010 - 08/09/2010
Lugar del Evento: Clermont-Ferrand, Francia
Título del Libro: proceedings of the International Conference on Agricultural Engineerig. AgEng 2010. Towards Environmental Technologies
Fecha: 2010
Materias:
Palabras Clave Informales: Ready-to-use; green leaves; machine vision
Escuela: E.U.I.T. Agrícolas (UPM)
Departamento: Ciencia y Tecnología Aplicadas a la Ingeniería Técnica Agrícola [hasta 2014]
Grupo Investigación UPM: Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

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Identificador DC: http://oa.upm.es/8000/
Identificador OAI: oai:oa.upm.es:8000
URL Oficial: http://ageng2010.com/
Depositado por: Memoria Investigacion
Depositado el: 08 Jul 2011 09:03
Ultima Modificación: 03 Nov 2016 17:01
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