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dc.contributor.authorLorente, Delia
dc.contributor.authorZude, Manuela
dc.contributor.authorRegen, C.
dc.contributor.authorPalou, Lluís
dc.contributor.authorGómez-Sanchís, Juan
dc.contributor.authorBlasco, José
dc.date.accessioned2017-06-01T10:12:32Z
dc.date.available2017-06-01T10:12:32Z
dc.date.issued2013
dc.identifier.citationLorente, D., Zude, M., Regen, C., Palou, L., Gomez-Sanchis, J., Blasco, J. (2013). Early decay detection in citrus fruit using laser-light backscattering imaging. Postharvest Biology and Technology, 86, 424-430.
dc.identifier.issn0925-5214; 1873-2356
dc.identifier.urihttp://hdl.handle.net/20.500.11939/5542
dc.description.abstractEarly detection of fungal infections in citrus fruit still remains one of the major problems in postharvest technology. The potential of laser-light backscattering imaging was evaluated for detecting decay in citrus fruit after infection with the pathogen Penicillium digitatum, before the appearance of fruiting structures (green mould). Backscattering images of oranges cv. Navelate with and without decay were obtained using diode lasers emitting at five different wavelengths in the visible and near infrared range for addressing the absorption of fruit carotenoids, chlorophylls and water/carbohydrates. The apparent region of backscattered photons captured by a camera had radial symmetry with respect to the incident point of the light, being reduced to a one-dimensional profile after radial averaging. The Gaussian-Lorentzian cross product (GL) distribution function with five independent parameters described radial profiles accurately with average R-2 values higher or equal to 0.998, pointing to differences in the parameters at the five wavelengths between sound and decaying oranges. The GL parameters at each wavelength were used as input vectors for classifying samples into sound and decaying oranges using a supervised classifier based on linear discriminant analysis. Ranking and combination of the laser wavelengths in terms of their contribution to the detection of decay resulted in the minimum detection average success rate of 80.4%, which was obtained using laser light at 532 nm that addresses differences in scattering properties of the infected tissue and carotenoid contents. However, the best results were achieved using the five laser wavelengths, increasing the classifier average success rate up to 96.1%. The results highlight the potential of laser-light backscattering imaging for advanced citrus grading. (C) 2013 Elsevier B.V. All rights reserved.
dc.language.isoen
dc.titleEarly decay detection in citrus fruit using laser-light backscattering imaging
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.date.issuedFreeFormDEC 2013
dc.entidadIVIACentro de Tecnología Post-recolección
dc.entidadIVIACentro de Agroingeniería
dc.identifier.doi10.1016/j.postharvbio.2013.07.021
dc.journal.abbreviatedTitlePostharvest Biol.Technol.
dc.journal.titlePostharvest Biology and Technology
dc.journal.volumeNumber86
dc.page.final430
dc.page.initial424
dc.rights.accessRightsopenAccess
dc.source.typeImpreso


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