Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/94749
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dc.contributor.authorJair Cervantes Canalesen_EU
dc.contributor.authorFarid García Lamonten_EU
dc.contributor.authorLisbeth Rodríguez Mazahuaen_EU
dc.contributor.authorALFONSO ZARCO HIDALGOen_EU
dc.contributor.authorJOSE SERGIO RUIZ CASTILLAen_EU
dc.creatorJair Cervantes Canales-
dc.creatorFarid García Lamont-
dc.creatorLisbeth Rodríguez Mazahua-
dc.creatorALFONSO ZARCO HIDALGO-
dc.creatorJOSE SERGIO RUIZ CASTILLA-
dc.date2018-08-15-
dc.date.accessioned2019-03-12T23:44:15Z-
dc.date.available2019-03-12T23:44:15Z-
dc.identifierhttp://hdl.handle.net/20.500.11799/94749-
dc.identifier.urihttp://ri.uaemex.mx/handle20.500.11799/94749-
dc.descriptionSe presenta una propuesta para el reconocimiento de hojas muy semejantes en su apariencia.-
dc.descriptionThe automatic identification of plant leaves is a very important current topic of research in vision systems. Several researchers have tried to solve the problem of identification from plant leaves proposing various techniques. The proposed techniques in the literature have obtained excellent results on data sets where the leaves have dissimilar features to each other. However, in cases where the leaves are very similar to each other, the classification accuracy falls significantly. In this paper, we proposed a system to deal with the performance problem of machine learning algorithms where the leaves are very similar. The results obtained show that combination of different features and features selection process can improve the classification accuracy.-
dc.languageeng-
dc.publisherSpringer-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttp://creativecommons.org/licenses/by/4.0-
dc.source0302-9743-
dc.subjectPlant identification-
dc.subjectVision system-
dc.subjectFeature selection-
dc.subjectinfo:eu-repo/classification/cti/5-
dc.titleComplex identification of plants from leaves-
dc.typearticle-
dc.audiencestudents-
dc.audienceresearchers-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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