Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097219
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dc.contributor.authorBARBEDO, J. G. A.pt_BR
dc.contributor.authorKOENIGKAN, L. V.pt_BR
dc.contributor.authorHALFELD-VIEIRA, B. de A.pt_BR
dc.contributor.authorCOSTA, R. V. dapt_BR
dc.contributor.authorNECHET, K. de L.pt_BR
dc.contributor.authorGODOY, C. V.pt_BR
dc.contributor.authorLOBO JUNIOR, M.pt_BR
dc.contributor.authorPATRÍCIO, F. R. A.pt_BR
dc.contributor.authorTALAMINI, V.pt_BR
dc.contributor.authorCHITARRA, L. G.pt_BR
dc.contributor.authorOLIVEIRA, S. A. S. dept_BR
dc.contributor.authorISHIDA, A. K. N.pt_BR
dc.contributor.authorFERNANDES, J. M. C.pt_BR
dc.contributor.authorSANTOS, T. T.pt_BR
dc.contributor.authorCAVALCANTI, F. R.pt_BR
dc.contributor.authorTERAO, D.pt_BR
dc.contributor.authorANGELOTTI, F.pt_BR
dc.date.accessioned2019-06-27T01:08:27Z-
dc.date.available2019-06-27T01:08:27Z-
dc.date.created2018-10-10
dc.date.issued2018
dc.identifier.citationRevista IEEE America Latina, v. 16, n. 6, p. 1749-1757, jun. 2018.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1097219-
dc.descriptionOver the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each image was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and contributing to speed up the advances in the area. Both collections are expected to grow continuously in order to expand their reach. PDDB and XDB can be accessed in the link https://www.digipathos-rep.cnptia.embrapa.br/.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectPatologia vegetalpt_BR
dc.subjectBanco de dadospt_BR
dc.subjectAprendizagem profundapt_BR
dc.subjectImagem em processamentopt_BR
dc.titleAnnotated plant pathology databases for image-based detection and recognition of diseases.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2019-06-27T01:08:27Z
dc.subject.thesagroDoença de Plantapt_BR
dc.subject.nalthesaurusPlant pathologypt_BR
dc.subject.nalthesaurusPlant diseases and disorderspt_BR
dc.subject.nalthesaurusDatabasespt_BR
dc.description.notesO título da revista foi grafado no artigo como IEEE LATIN AMERICA TRANSACTIONS, mas registro de título do periódico é REVISTA IEEE AMÉRICA LATINA.pt_BR
riaa.ainfo.id1097219pt_BR
riaa.ainfo.lastupdate2019-06-26
dc.contributor.institutionJAYME GARCIA ARNAL BARBEDO, CNPTIA; LUCIANO VIEIRA KOENIGKAN, CNPTIA; BERNARDO DE ALMEIDA HALFELD VIEIRA, CNPMA; RODRIGO VERAS DA COSTA, CNPMS; KATIA DE LIMA NECHET, CNPMA; CLAUDIA VIEIRA GODOY, CNPSO; MURILLO LOBO JUNIOR, CNPAF; F. R. A. PATRÍCIO, Instituto Biológico, Campinas, SP; VIVIANE TALAMINI, CPATC; LUIZ GONZAGA CHITARRA, CNPA; SAULO ALVES SANTOS DE OLIVEIRA, CNPMF; ALESSANDRA KEIKO NAKASONE ISHIDA, CPATU; JOSE MAURICIO CUNHA FERNANDES, CNPT; THIAGO TEIXEIRA SANTOS, CNPTIA; FABIO ROSSI CAVALCANTI, CNPUV; DANIEL TERAO, CNPMA; FRANCISLENE ANGELOTTI, CPATSA.pt_BR
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