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dc.contributor.authorMunera, Sandra
dc.contributor.authorAleixos, Nuria
dc.contributor.authorGómez-Sanchís, Juan
dc.contributor.authorBesada, Cristina
dc.contributor.authorCubero, Sergio
dc.contributor.authorTalens, Pau
dc.contributor.authorSalvador, Alejandra
dc.contributor.authorBlasco, José
dc.contributor.editorGroot Koerkamp, Peter
dc.date.accessioned2021-08-25T15:47:08Z
dc.date.available2021-08-25T15:47:08Z
dc.date.issued2018es
dc.identifier.citationMunera, S., Aleixos, N., Gómez-Sanchís, J., Besada, C., Cubero, S., Talens, P. et al. (2018). Detection of Astringent and Deastringent Persimmon Fruits using Hyperspectral Imaging Technology. Proceedings of the European Conference on Agricultural Engineering (AgEng2018), 946-950.es
dc.identifier.urihttp://hdl.handle.net/20.500.11939/7570
dc.description.abstractPersimmon fruit cv. ‘Rojo Brillante’ is an astringent cultivar due to its content of soluble tannins. Traditionally, the consumption of this cultivar has been only possible when the astringency has been naturally removed before harvest, when fruit is overripe and the manipulation is very delicate. In recent years, new postharvest treatments, which allow astringency removal while preserving high flesh firmness, have been developed. Among them, the most widely used in commercial settings is based on exposing fruits to high CO2 concentrations for 24 h–36 h. This method promotes anaerobic respiration in the fruit, giving rise to an accumulation of acetaldehyde and insolubilizing tannins at the end of the treatment. The effectiveness of this treatment is controlled by means of methods that are destructive, time-consuming and only a few samples per batch can be analysed. For this reason, the objective of this work is to study the application of the hyperspectral imaging technology in the detection of astringent and deastringent fruits non-destructively. A total of 300 fruits were used and exposed to CO2 during different times in order to obtain fruit with different content of soluble tannins. The hyperspectral images of the fruits were acquired using a VIS-NIR hyperspectral system, which covers the spectral range 450-1040 nm. A reference analysis of soluble tannins was performed in order to find out if the fruits were astringent or deastringent. The spectral information of the two thirds of the fruits was used to build the classification models by means of partial least squares (PLS) and support vector machine (SVM) discriminant analysis methods. The remaining third was used to validate the models as test set. As result, 92.6 % astringent and 84.4 % deastringent fruits were classified correctly using the SVM method. This shows the great potential of hyperspectral imaging technology to detect astringent and deastringent fruits in industrial setups.es
dc.language.isoenes
dc.publisherWageningen University & Researches
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectPersimmones
dc.subjectastringencyes
dc.subjectDeastringencyes
dc.subjectHyperspectral imaginges
dc.subjectDetectiones
dc.titleDetection of Astringent and Deastringent Persimmon Fruits using Hyperspectral Imaging Technologyes
dc.typeconferenceObjectes
dc.authorAddressblasco_josiva@gva.eses
dc.entidadIVIACentro de Agroingenieríaes
dc.identifier.doi10.18174/471679es
dc.identifier.urlhttps://edepot.wur.nl/471679#page=946es
dc.page.final950es
dc.page.initial946es
dc.placePublicationWageningenes
dc.relation.conferenceDate2018-07
dc.relation.conferenceNameEuropean Conference on Agricultural Engineering (AgEng2018)es
dc.relation.conferencePlaceWageningen, the Netherlandses
dc.relation.projectIDThis work was partially funded by INIA and FEDER funds through project RTA2015-00078-00-00.es
dc.rights.accessRightsopenAccesses
dc.source.typeelectronicoes
dc.subject.agrisQ01 Food science and technologyes
dc.subject.agrisQ02 Food processing and preservationes
dc.subject.agrisJ10 Handling, transport, storage and protection of agricultural productses
dc.subject.agrisQ04 Food compositiones
dc.subject.agrovocTanninses
dc.subject.agrovocPostharvest treatmentes
dc.subject.agrovocCarbon dioxidees


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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España