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dc.creatorDomínguez-Cid, Samueles
dc.creatorBarbancho Concejero, Julioes
dc.creatorLarios Marín, Diego Franciscoes
dc.creatorMolina Cantero, Francisco Javieres
dc.creatorGómez Gutiérrez, Álvaro Arieles
dc.creatorLeón de Mora, Carloses
dc.date.accessioned2023-01-19T07:05:22Z
dc.date.available2023-01-19T07:05:22Z
dc.date.issued2023-02
dc.identifier.citationDomínguez-Cid, S., Barbancho Concejero, J., Larios Marín, D.F., Molina Cantero, F.J., Gómez Gutiérrez, Á.A. y León de Mora, C. (2023). In-field hyperspectral imaging dataset of Manzanilla and Gordal olive varieties throughout the season. Data in Brief, 46 (February), 108812. https://doi.org/10.1016/j.dib.2022.108812.
dc.identifier.issn2352-3409es
dc.identifier.urihttps://hdl.handle.net/11441/141537
dc.description.abstractBecause spectral technology has exhibited benefits in food-related applications, an increasing amount of effort is being dedicated to develop new food-related spectral technologies. In recent years, the use of remote sensing or unmanned aerial vehicles for precision agriculture has increased. As spectral technology continues to improve, portable spectral devices become available in the market, offering the possibility of realising in-field monitoring. This study demonstrates hyperspectral imaging and spectral olive signatures of the Manzanilla and Gordal cultivars analysed throughout the table-olive season from May to September. The data were acquired using an in-field technique and sampled via a non-destructive approach. The olives were monitored periodically during the season using a hyperspectral camera. A white reference was used to normalise the illumination variability in the spectra. The acquired data were saved in files named raw, normalised, and processed data. The normalised data were calculated by the sensor by correcting the white and black levels using the acquired reflectance values. The olive spectral signature of the images is saved in the processed data files. The images were labelled and processed using an algorithm to retrieve the olive spectral signatures. The results were stored as a chart with 204 columns and ‘n’ rows. Each row represents the pixel of an olive in the image, and the columns contain the reflectance information at that specific band. These data provide information about two olive cultivars during the season, which can be used for various research purposes. Statistical and artificial intelligence approaches correlate spectral signatures with olive characteristics such as growth level, organoleptic properties, or even cultivar classification.es
dc.description.sponsorshipHermanos Donaire Ibáñez Agrícola, SC and the Regulatory Council of the PGI Manzanilla and Gordal Olives from Sevillees
dc.formatapplication/pdfes
dc.format.extent7 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofData in Brief, 46 (February), 108812.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOlivees
dc.subjectHyperspectral imaginges
dc.subjectAgroteches
dc.subjectPrecision agriculturees
dc.titleIn-field hyperspectral imaging dataset of Manzanilla and Gordal olive varieties throughout the seasones
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.projectIDPYC20 RE 090 US-2021es
dc.relation.projectIDP20_01078-2021es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352340922010150?via%3Dihubes
dc.identifier.doi10.1016/j.dib.2022.108812es
dc.contributor.groupUniversidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industriales
dc.journaltitleData in Briefes
dc.publication.volumen46es
dc.publication.issueFebruaryes
dc.publication.initialPage108812es
dc.contributor.funderHYPATIA project PYC20 RE 090 US-2021es
dc.contributor.funderDAPHNE project P20_01078-2021es

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