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Coaquira Rojo, Carlos Alberto (es_PE)
Moggiano Aburto, Nabilt Jill (es_PE)
Sullca Mendoza, Yordan Cesar (es_PE)
Ortiz Zacarias, Jhon Rodrigo (es_PE)
Del Carpio Ramirez, Sliver Ivan (es_PE)
Coaquira Rojo, Carlos Alberto (es_PE)
Valenzuela Lino, Yadhira Samhira (es_PE)
2024-04-10T16:49:16Z
2024-04-10T16:49:16Z
2024-04-10T16:49:16Z
2024-04-10T16:49:16Z
2024
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (journal)
https://doi.org/10.1109/UEMCON54665.2022.9965667 (doi)
Valenzuela, Y., Ortiz, J., Sullca, Y., Del Carpio, S., Moffiano, N. y Coaquira, C. (2024). Simulation of an Automated Tahitian Lemon Grading System Based on Computer Vision. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú. (es_PE)
https://hdl.handle.net/20.500.12394/14442
Lemon exports are of great influence in Peru, since there is a great demand from countries such as the USA, Belgium and Holland. For this reason, the agricultural sector is one of the essential factors for the economic development of the country, since it generates S/29,553 million annually throughout the national territory. On the other hand, Peru offers two types of lemons, for example: the Tahitian lemon and the subtle lemon; however, due to its characteristics, the Tahitian lemon is the one that is sent as an export product worldwide. Currently, the selection process of this fruit is done manually, since there are not enough industrial optimizations in its process. Therefore, the present study aims to carry out the simulation of an automated grading system for Tahitian lemon based on computer vision. The selection parameters for the image processing were established as the levels of ripeness of the lemon: early ripening, medium ripening, ripe and stale. This selection was implemented due to the need to comply with the quality standards required by the Free Trade Agreements (FTA). As a result, the selection simulation was obtained through a conveyor belt, where the fruit passed through the computer vision, which determined the route of the fruit. Finally, it was concluded that through automation it is possible to optimize the selection time of food products. (es_PE)
application/pdf (es_PE)
p. 283-289 (es_PE)
eng (es_PE)
Universidad Continental (es_PE)
https://ieeexplore.ieee.org/document/9965667 (es_PE)
info:eu-repo/semantics/openAccess (es_PE)
Acceso abierto (accessRights)
https://creativecommons.org/licenses/by/4.0/ (es_PE)
Universidad Continental (es_PE)
Repositorio Institucional - Continental (es_PE)
Automatización industrial (es_PE)
Simulación (es_PE)
Control de procesos (es_PE)
Simulation of an Automated Tahitian Lemon Grading System Based on Computer Vision (es_PE)
info:eu-repo/semantics/bachelorThesis (es_PE)
Attribution 4.0 International (CC BY 4.0) (es_PE)
Universidad Continental. Facultad de Ingenieria. (es_PE)
Ingeniería Mecatrónica (es_PE)
Ingeniero Mecatrónico (es_PE)
PE (es_PE)
https://purl.org/pe-repo/ocde/ford#2.03.00 (es_PE)
https://purl.org/pe-repo/renati/level#tituloProfesional (es_PE)
200499057
https://orcid.org/0000-0003-1902-3731 (es_PE)
71902502
20049057
73105932
71689110
75527660
45103226
713096 (es_PE)
https://purl.org/pe-repo/renati/type#tesis (es_PE)
Privada societaria
info:eu-repo/semantics/publishedVersion (es_PE)



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