Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Multispectral Vision for Monitoring Peach Ripeness
Year:2011
Research Areas
  • Agriculture,
  • Engineering
Information
Abstract
The main objective of this research was to develop an automatic procedure able to classify Rich Lady commercial peaches according to their ripeness stage through multispectral imaging techniques. A classification procedure was applied to the ratio images calculated as red (R, 680 nm) divided by infrared (IR, 800 nm), that is, R/IR images. Four imagebased ripeness reference classes (A: unripe to D: overripe) were generated from 380 fruit images (season 1: 2006) by a nonsupervised classification method and evaluated according to reference measurements of the ripeness of the same samples: Magness-Taylor penetrometry firmness, low-mass impact firmness, reflectance at 680 nm (R680, and soluble solids content. The assignment of unknown sample images from those season 1 images (internal validation, n = 380) and of 240 images from the 2nd season (season 2: 2007) to the ripeness reference classes (external validation) was carried out by computing the minimum Euclidean distance (classification distance, Cd) between each unknown image histogram and the average histogram of each ripeness reference class. For both validation phases, firmness values decreased and R680 increased for increasing alphabetical order of image-based class letter, reflecting the ripening process. Moreover, 70% (season 1) and 80% (season 2) of the samples below bruise susceptibility firmness were classified into class D.
International
Si
JCR
Si
Title
Journal of Food Science
ISBN
1750-3841
Impact factor JCR
1,6
Impact info
Volume
76
10.1111/j.1750-3841.2010.02000.x
Journal number
2
From page
178
To page
187
Month
SIN MES
Ranking
Participants
  • Autor: Belen Diezma Iglesias (UPM)
  • Autor: Ana Herrero Langreo (Uninversidad Politécnica de Madrid)
  • Autor: Loredana Lunadei . (UPM)
  • Autor: Lourdes Lleo Garcia (UPM)
  • Autor: Margarita Ruiz Altisent (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)