Detección óptica de harinosidad en manzana mediante una nueva técnica láser.

Valero Ubierna, Constantino ORCID: https://orcid.org/0000-0003-4473-3209, Barreiro Elorza, Pilar ORCID: https://orcid.org/0000-0003-4702-6059, Ruiz-Altisent, Margarita ORCID: https://orcid.org/0000-0002-6350-0315, Cubeddu, Rinaldo, Pifferi, Antonio, Taroni, Paola, Torricelli, Alejandra, Valentini, Gianluca, Johnson, D. and Dover, C. (2001). Detección óptica de harinosidad en manzana mediante una nueva técnica láser.. In: "AgroIng2001 Congreso Nacional de Agroingeniería", 21-22, septiembre-2001, Valencia (España).

Description

Title: Detección óptica de harinosidad en manzana mediante una nueva técnica láser.
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: AgroIng2001 Congreso Nacional de Agroingeniería
Event Dates: 21-22, septiembre-2001
Event Location: Valencia (España)
Title of Book: Congreso Nacional de Agroingeniería
Date: 2001
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Mealiness, a textural disorder that produces quality loss, combines softness and absence of juiciness. The only one (destructive) test to measure it, combines information from a mechanical test on fruit probes to classify the samples according to instrumental mealiness. Time-domain laser reflectance spectroscopy (TDRS) is able to assess simultaneously and independently the absorption of the light inside the irradiated body (µa coefficient) and the scattering of the photons across the tissues (µS, transport scattering coeff.) measured at each wavelength. Using VIS&NIR lasers as light sources, TDRS was applied to Golden Delicious and Cox apples (n=90), conforming batches of untreated samples and storage-treated (20°C&95%RH) to induce mealiness development. The collected database was clustered into different groups according to their instrumental mealiness. Optical variables were used to build discriminant functions, achieving classification scores 75-89% of correctly identified mealy apples.

More information

Item ID: 26257
DC Identifier: https://oa.upm.es/26257/
OAI Identifier: oai:oa.upm.es:26257
Deposited by: Servicio Biblioteca Universitaria
Deposited on: 20 May 2014 08:51
Last Modified: 22 Sep 2014 11:40
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