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dc.contributor.authorFont Calafell, Davinia
dc.contributor.authorPallejà Cabrè, Tomàs
dc.contributor.authorTresánchez Ribes, Marcel
dc.contributor.authorTeixidó Cairol, Mercè
dc.contributor.authorMartínez Lacasa, Daniel
dc.contributor.authorMoreno Blanc, Javier
dc.contributor.authorPalacín Roca, Jordi
dc.date.accessioned2016-06-16T08:24:51Z
dc.date.issued2014
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/10459.1/57215
dc.description.abstractThis paper presents an automatic method for counting red grapes from high-resolution images of vineyards taken under artificial lighting at night. The proposed method is based on detecting the specular reflection peaks from the spherical surface of the grapes. These intensity peaks are detected by means of a morphological peak detector based on the definition of one central point and several radial points. The morphological condition applied is that the intensity of the central point must be higher than all the radial points. The grape counting results obtained in different occlusion conditions were compared with a manual labeling procedure. On average, the percentage of extremely occluded grapes (occlusion higher than 75%) in the clusters was 33%, whereas the average counting detection error obtained with the automatic method proposed was 14% with only 7% of false positives, confirming that this proposal can count even highly occluded grapes.ca_ES
dc.description.sponsorshipThis work was partially funded by Indra, the University of Lleida, the Government of Catalonia – Spain (Comisionat per a Universitats i Recerca, Departament d’Innovació, Universitats i Empresa) and the European Social Fund Ref. 2012FI_B 00301.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.compag.2014.07.006ca_ES
dc.relation.ispartofComputers and Electronics in Agriculture, 2014, vol. 108, p. 105-111ca_ES
dc.rights(c) Elsevier, 2014ca_ES
dc.subjectAutomatic grape countingca_ES
dc.subjectVineyard yield estimationca_ES
dc.subjectSpecular reflection peak detectionca_ES
dc.titleCounting red grapes in vineyards by detecting specular spherical reflection peaks in RGB images obtained at night with artificial illuminationca_ES
dc.typearticleca_ES
dc.identifier.idgrec021604
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.compag.2014.07.006
dc.date.embargoEndDate2025-01-01


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