Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083291
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dc.contributor.authorSANTOS, T. T.
dc.contributor.authorBASSOI, L. H.
dc.contributor.authorOLDONI, H.
dc.contributor.authorMARTINS, R. L.
dc.date.accessioned2017-12-23T23:19:48Z-
dc.date.available2017-12-23T23:19:48Z-
dc.date.created2017-12-21
dc.date.issued2017
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 11., 2017, Campinas. Ciência de dados na era da agricultura digital: anais. Campinas: Editora da Unicamp: Embrapa Informática Agropecuária, 2017.
dc.identifier.isbn978-85-85783-75-4
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1083291-
dc.descriptionThis work presents a methodology for 3-D phenotyping of vineyards based on images captured by a low cost high-definition webcamera. A novel software application integrated visual odometry and multiple-view stereo components to create dense and accurate three-dimensional points clouds for vines, properly transformed to millimeter scale. Geometrical and color features of the points were employed by a classification procedure that reached 93% of accuracy on detecting points belonging to grapes. Individual bunches were automatically delimited and their volumes estimated. The sum of the estimated volumes per vine presented a coefficient of correlation of R = 0.99 to the real grape weight observed in each vine after harvesting.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectEstimativa de podução
dc.subjectMétodos não-invasivos
dc.subjectFenotipagem 3D
dc.subjectVisão estéro múltipla
dc.subjectSimultaneous localization and mapping
dc.subjectYield estimation
dc.subjectNon-invasive methods
dc.subject3-D phenotyping
dc.subjectMultiple view stereo
dc.subjectVideirapt_BR
dc.titleAutomatic grape bunch detection in vineyards based on affordable 3D phenotyping using a consumer webcam.
dc.typeArtigo em anais e proceedings
dc.date.updated2020-01-21T11:11:11Zpt_BR
dc.subject.thesagroViticultura
dc.subject.nalthesaurusViticulture
dc.subject.nalthesaurusPhenotype
dc.description.notesSBIAgro 2017.
dc.format.extent2p. 89-98.
riaa.ainfo.id1083291
riaa.ainfo.lastupdate2020-01-21 -02:00:00
dc.contributor.institutionTHIAGO TEIXEIRA SANTOS, CNPTIA; LUIS HENRIQUE BASSOI, CNPDIA; HENRIQUE OLDONI, Unesp Botucatu; ROBERTO LUVISUTTO MARTINS, Unesp Botucatu.
Aparece nas coleções:Artigo em anais de congresso (CNPTIA)

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