Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/347298
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampFracarolli, Juliana Aparecida-
dc.contributor.authorunicampDal Fabbro, Inacio Maria-
dc.contributor.authorunicampOliveira, Ingrid Nehmi de-
dc.typeArtigopt_BR
dc.titlePapaya (Carica papaya) classification by softwarept_BR
dc.contributor.authorFracarolli, Juliana Aparecida-
dc.contributor.authorDal Fabbro, Inácio Maria-
dc.contributor.authorOliveira, Ingrid Nehmi de-
dc.subjectFrutas - Classificaçãopt_BR
dc.subject.otherlanguageFruit - Classificationpt_BR
dc.description.abstractIn this paper, it suggested the selection of papayas by image processing employing low-cost equipment for data acquisition. This may allow the process automation selection and classification of agricultural products for small farmers or small traders. The objective of this work was to evaluate two papaya varieties (“Solo” and “Formosa”) using image programs for selection of miscellaneous format detection and fruit mapping coloration. The experiment occurred at an optic laboratory and it used a diffused light, camera, computer and papaya fruits, and for image processing, the ImageJ software, in addition to computer programs that have been developed for image processing. The detection of varied sizes and the fruit classification by mapping color were conducted using the software. The program for evaluating the two varieties format worked with 100% of the fruits and the one for mapping coloration with 80% correct results. These results showed that the program had low error and could be used for fruit selection.pt_BR
dc.relation.ispartofJournal of agricultural science and technology. Bpt_BR
dc.publisher.cityWilmington, DEpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherDavid Publishingpt_BR
dc.date.issued2017-
dc.language.isoengpt_BR
dc.description.volume7pt_BR
dc.description.issuenumber4pt_BR
dc.description.firstpage268pt_BR
dc.description.lastpage279pt_BR
dc.rightsAbertopt_BR
dc.identifier.issn2161-6264pt_BR
dc.identifier.doi10.17265/2161-6264/2017.04.004pt_BR
dc.identifier.urlhttp://www.davidpublisher.org/index.php/Home/Article/index?id=34462.htmlpt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsordocumentnumberSem informaçãopt_BR
dc.date.available2020-08-13T17:38:33Z-
dc.date.accessioned2020-08-13T17:38:33Z-
dc.description.provenanceSubmitted by Bruna Maria Campos da Cunha (bcampos@unicamp.br) on 2020-08-13T17:38:33Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-11T13:06:17Z : No. of bitstreams: 1 101726521616264201704004.pdf: 732393 bytes, checksum: d3deacb687180e8c112d5fe7e6141c53 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-08-13T17:38:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2017en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/347298-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Agrícolapt_BR
dc.contributor.unidadeFaculdade de Engenharia Agrícolapt_BR
dc.contributor.unidadeFaculdade de Engenharia Agrícolapt_BR
dc.subject.keywordImage processingpt_BR
dc.subject.keywordMachine visionpt_BR
dc.subject.keywordQualitypt_BR
dc.identifier.source101726521616264201704004pt_BR
dc.creator.orcid0000-0001-8793-3185pt_BR
dc.creator.orcid0000-0001-7867-1734pt_BR
dc.creator.orcid0000-0001-5951-1196pt_BR
dc.type.formArtigopt_BR
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