Publicação:
Blank Spots Identification on Plantations

dc.contributor.authorCrulhas, J. P. R. [UNESP]
dc.contributor.authorArtero, A. O. [UNESP]
dc.contributor.authorPiteri, M. A. [UNESP]
dc.contributor.authorSilva, F. A.
dc.contributor.authorPereira, D. R.
dc.contributor.authorEler, D. M. [UNESP]
dc.contributor.authorPapa, J. P. [UNESP]
dc.contributor.authorAlbuquerque, V. H. C. de
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Oeste Paulista Unoeste
dc.contributor.institutionUniv Fortaleza Unifor
dc.date.accessioned2019-10-03T18:20:00Z
dc.date.available2019-10-03T18:20:00Z
dc.date.issued2018-08-01
dc.description.abstractThis paper presents a proposal to make the identification of failures in plantations performing an automatic analysis of images collected by the UAVs. What is sought is to identify and measure the areas where the process of seed germination did not occur as expected and then assist in taking a decision to maintain the current planting, or in the case of large areas with this problem, redoing the entire sowing process, avoiding production losses. The results obtained with some synthetic and real images are also quite satisfactory, showing the feasibility of the proposal, identifying the areas where failures occur and also measuring the areas of the regions identified.en
dc.description.affiliationUniv Estadual Paulista, Unesp, Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Oeste Paulista Unoeste, Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Unesp, Bauru, SP, Brazil
dc.description.affiliationUniv Fortaleza Unifor, Programa Grad Informat, Fortaleza, Ceara, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Unesp, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Unesp, Bauru, SP, Brazil
dc.format.extent2115-2121
dc.identifier.citationIeee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 16, n. 8, p. 2115-2121, 2018.
dc.identifier.issn1548-0992
dc.identifier.urihttp://hdl.handle.net/11449/184106
dc.identifier.wosWOS:000449980500005
dc.language.isopor
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Latin America Transactions
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectComputer Vision
dc.subjectImage Analysis
dc.subjectSegmentation Precision Agriculture
dc.subjectUAVs
dc.titleBlank Spots Identification on Plantationsen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
dspace.entity.typePublication
unesp.author.lattes6469656882616214[2]
unesp.author.orcid0000-0001-6824-7251[2]

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