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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).
Title: | Detección óptica de harinosidad en manzana mediante una nueva técnica láser. |
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Author/s: |
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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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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.
Item ID: | 26257 |
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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 |