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dc.contributor.advisorGutierrez Cardenas, Juan Manuel
dc.contributor.authorGonzales Asto, Gabriela
dc.date.accessioned2021-03-17T03:16:39Z
dc.date.available2021-03-17T03:16:39Z
dc.date.issued2020
dc.identifier.citationGonzales Asto, G. (2020). Automated classification system of giant white corn using image processing and supervised techniques [Tesis para optar el Título Profesional de Ingeniero de Sistemas, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/12722es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/12722
dc.description.abstractNowadays, the use of artificial vision for classification in agricultural products has proven to have a great impact on this field. The exportation of agricultural goods has risen all over the world, consequently, that is the reason why exporting companies are looking to automate their processes and artificial vision techniques seems a great niche. This automation will allow an improvement in their production performance by diminishing the time and cost of their processes. While having a sound quality product in less time, improved precision and with no extensive manipulation of the product. In this article, we aim to offer a low cost alternative to this procedure oriented to the classification of Peruvian white corn by proposing an algorithm for the segmentation and recognition of images using computer vision techniques.es_EN
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherUniversidad de Limaes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectMaízes_PE
dc.subjectAlgoritmos computacionaleses_PE
dc.subjectProceso de imágenes
dc.subjectCorn
dc.subjectComputer algorithms
dc.subjectImage processing
dc.subject.classificationIngeniería de sistemas / Diseño y métodoses_PE
dc.titleAutomated classification system of giant white corn using image processing and supervised techniqueses_PE
dc.typeinfo:eu-repo/semantics/bachelorThesises_PE
thesis.degree.disciplineIngeniería de sistemases_PE
thesis.degree.grantorUniversidad de Lima. Facultad de Ingeniería y Arquitecturaes_PE
thesis.degree.levelTítulo profesionales_PE
thesis.degree.nameIngeniero de sistemases_PE
dc.publisher.countryPerúes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
renati.author.dni44202612
renati.advisor.orcidhttps://orcid.org/0000-0003-2566-4690es_PE
renati.advisor.dni29515539
renati.jurorGuzman-Jimenez, Rosario-Marybel
renati.jurorAyma-Quirita, Victor-Hugo
renati.jurorRamos-Ponce, Oscar-Efrain
renati.levelhttp://purl.org/pe-repo/renati/level#tituloProfesionales_PE
renati.typehttp://purl.org/pe-repo/renati/type#tesises_PE
renati.discipline612076es_PE


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