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dc.contributor.authorSandoval, José
dc.contributor.authorGor, Sergio
dc.contributor.authorRamallo, Jacqueline
dc.contributor.authorSfer, Ana
dc.contributor.authorColombo, Elisa
dc.contributor.authorVilaseca Ricart, Meritxell
dc.contributor.authorPujol Ramo, Jaume
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Òptica i Optometria
dc.date.accessioned2010-11-17T10:54:01Z
dc.date.available2010-11-17T10:54:01Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationSandoval, J. [et al.]. Spectral signatures: A way to identify species and conditions of vegetables. A: Interim Meeting of the International Color Association. "Color and Food, Interim Meeting of the International Color Association". Mar del Plata: 2010, p. 166-169.
dc.identifier.isbn978-987-24707-2-2
dc.identifier.urihttp://hdl.handle.net/2117/10332
dc.description.abstractThis work shows the results obtained by the application of suitable techniques for the acquisition and processing of spectral absorbance data of several vegetable species, allowing its identification –assignment of each spectral signature to one specific plant- which in turn allows the control of origin of products (foodstuffs or not) and their characteristics. Spectral measurements of absorbance were performed on samples of two sugarcane varieties and four citrus types (orange, lemon, tangerine and grapefruit) taken periodically from a controlled crop, using a spectrophotometer FOSS-NIR 6500 in the range of 400-2500 nm by 2 nm. The measured samples were about 240 in the case of sugarcane and 160 in the case of citrus. A Principal Component Analysis was applied to the data by means of STATA 9 software and the results were interpreted in that PCA context. This procedure allowed us not only to clearly identify which variety of sugarcane corresponds to each spectral absorbance function, but also to determine which wavelength or wavebands have significant relevance for that identification. Similarly, this technique allows us to identify and classify the spectral functions coming from different types of citrus. The main conclusion is that the proposed technique is capable to precisely identifying the species each sample comes from; besides, this technique would allow us to determine the nutritional or health condition of them at the moment of the analysis, as could be seen from the obtained results.
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Física::Física de l'estat sòlid::Propietats òptiques
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Agricultura::Producció vegetal
dc.subject.lcshVegetables -- Identification -- Spectral signatures
dc.subject.lcshSTATA 9 (software)
dc.titleSpectral signatures: A way to identify species and conditions of vegetables
dc.typeConference lecture
dc.subject.lemacPlantes silvestres -- Identificació
dc.contributor.groupUniversitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac3320456
dc.description.versionPostprint (published version)
local.citation.authorSandoval, J.; Gor, S.; Ramallo, J.; Sfer, A.; Colombo, E.; Vilaseca, M.; Pujol, J.
local.citation.contributorInterim Meeting of the International Color Association
local.citation.pubplaceMar del Plata
local.citation.publicationNameColor and Food, Interim Meeting of the International Color Association
local.citation.startingPage166
local.citation.endingPage169


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