Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1099103
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPATRICIO, D. I.
dc.contributor.authorRIEDER, R.
dc.date.accessioned2018-11-10T00:20:55Z-
dc.date.available2018-11-10T00:20:55Z-
dc.date.created2018-11-09
dc.date.issued2018
dc.identifier.citationComputers and Electronics in Agriculture, v. 153, p. 69-81, Oct. 2018.
dc.identifier.issn0168-1699
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1099103-
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectInteligência artificial
dc.titleComputer vision and artificial intelligence in precision agriculture for grain crops: a systematic review.
dc.typeArtigo de periódico
dc.date.updated2018-11-10T00:20:55Zpt_BR
dc.subject.thesagroAgricultura de Precisão
dc.subject.nalthesaurusPrecision agriculture
dc.subject.nalthesaurusArtificial intelligence
dc.subject.nalthesaurusComputer vision
riaa.ainfo.id1099103
riaa.ainfo.lastupdate2018-11-09
dc.identifier.doihttps://doi.org/10.1016/j.compag.2018.08.001
dc.contributor.institutionDIEGO INACIO PATRICIO, CNPT; RAFAEL RIEDER.
Appears in Collections:Artigo em periódico indexado (CNPT)

Files in This Item:
File Description SizeFormat 
ID444052008CompElectroAgricv153p69.pdf258.03 kBAdobe PDFThumbnail
View/Open
Show simple item record

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace