Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening.
Year:2009
Research Areas
  • Agriculture
Information
Abstract
The present research is focused on the application of artificial vision to assess the ripening of red skinned soft-flesh peach ('Richlady'). Artificial vision allows a spatially detailed determination of the ripening stage of the fruit. The considered optical indexes (Ind1 and Ind2, proposed in the present research, and Ind3 and IAD, proposed by other authors) are based on the combination of wavelengths close to the chlorophyll absorption peak at 680 nm. Ind1 corresponds approximately to the depth of the absorption peak, and Ind2 corresponds to the relative absorption peak. An artificial image of each index was obtained by computing the corresponding reflectance images, which were acquired with a hyperspectral camera. All indexes were able to correct convexity (except for the just-harvested peaches and for Ind1). Ind2 is the preferred index; it showed the highest discriminating power between ripening stages and no influence of convexity. Ind2 also allowed the differentiation of ripening regions within the fruits, and it showed the evolution of those regions during ripening.
International
Si
JCR
Si
Title
JOURNAL OF FOOD ENGINEERING
ISBN
0260-8774
Impact factor JCR
2,081
Impact info
Volume
Journal number
0
From page
1
To page
1
Month
ENERO
Ranking
Participants
  • Autor: Lourdes Lleo Garcia (UPM)
  • Autor: Belen Diezma Iglesias (UPM)
  • Autor: Pilar Barreiro Elorza (UPM)
  • Autor: Ana Herrero Langreo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAg: Laboratorio de Propiedades Físicas y Tecnologías Avanzadas en Agroalimentación
  • Departamento: Ciencia y Tecnología Aplicadas a la Ingeniería Técnica Agrícola
  • Departamento: Ingeniería Rural
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