Simulation of an Automated Tahitian lemon grading system based on computer vision

Jhon Rodrigo Ortiz Zacarias; Yordan Cesar Sullca-Mendoza; Yadhira S. Valenzuela-Lino; Sliver Ivan Del Carpio-Ramirez; Nabilt Moggiano; Carlos Coaquira-Rojo

doi:10.1109/UEMCON54665.2022.9965667

Simulation of an Automated Tahitian lemon grading system based on computer vision

Jhon Rodrigo Ortiz Zacarias, Yordan Cesar Sullca-Mendoza, Yadhira S. Valenzuela-Lino, Sliver Ivan Del Carpio-Ramirez, Nabilt Moggiano, Carlos Coaquira-Rojo

Research output: Chapter in Book/Report › Conference contribution › peer-review

7 Scopus citations

Abstract

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.

Original language	American English
Title of host publication	2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022
Editors	Satyajit Chakrabarti, Rajashree Paul
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	283-289
Number of pages	7
ISBN (Electronic)	9781665492997
DOIs	https://doi.org/10.1109/UEMCON54665.2022.9965667
State	Indexed - 2022
Event	13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022 - Virtual, Online, United States Duration: 26 Oct 2022 → 29 Oct 2022

Publication series

Name	2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022

Conference

Conference	13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022
Country/Territory	United States
City	Virtual, Online
Period	26/10/22 → 29/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Automation
Image processing
Lemon
Ripening
Selection
Simulation

Access to Document

10.1109/UEMCON54665.2022.9965667

Cite this

Zacarias, J. R. O., Sullca-Mendoza, Y. C., Valenzuela-Lino, Y. S., Del Carpio-Ramirez, S. I., Moggiano, N., & Coaquira-Rojo, C. (2022). Simulation of an Automated Tahitian lemon grading system based on computer vision. In S. Chakrabarti, & R. Paul (Eds.), 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022 (pp. 283-289). (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON54665.2022.9965667

Zacarias, Jhon Rodrigo Ortiz ; Sullca-Mendoza, Yordan Cesar ; Valenzuela-Lino, Yadhira S. et al. / Simulation of an Automated Tahitian lemon grading system based on computer vision. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. editor / Satyajit Chakrabarti ; Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 283-289 (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022).

@inproceedings{535fc91b602d4caf83bc9550eb382b80,

title = "Simulation of an Automated Tahitian lemon grading system based on computer vision",

abstract = "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.",

keywords = "Automation, Image processing, Lemon, Ripening, Selection, Simulation",

author = "Zacarias, {Jhon Rodrigo Ortiz} and Sullca-Mendoza, {Yordan Cesar} and Valenzuela-Lino, {Yadhira S.} and {Del Carpio-Ramirez}, {Sliver Ivan} and Nabilt Moggiano and Carlos Coaquira-Rojo",

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year = "2022",

doi = "10.1109/UEMCON54665.2022.9965667",

language = "American English",

series = "2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Zacarias, JRO, Sullca-Mendoza, YC, Valenzuela-Lino, YS , Del Carpio-Ramirez, SI , Moggiano, N & Coaquira-Rojo, C 2022, Simulation of an Automated Tahitian lemon grading system based on computer vision. in S Chakrabarti & R Paul (eds), 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022, Institute of Electrical and Electronics Engineers Inc., pp. 283-289, 13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022, Virtual, Online, United States, 26/10/22. https://doi.org/10.1109/UEMCON54665.2022.9965667

Simulation of an Automated Tahitian lemon grading system based on computer vision. / Zacarias, Jhon Rodrigo Ortiz; Sullca-Mendoza, Yordan Cesar; Valenzuela-Lino, Yadhira S. et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. ed. / Satyajit Chakrabarti; Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2022. p. 283-289 (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022).

Research output: Chapter in Book/Report › Conference contribution › peer-review

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Zacarias JRO, Sullca-Mendoza YC, Valenzuela-Lino YS , Del Carpio-Ramirez SI , Moggiano N, Coaquira-Rojo C. Simulation of an Automated Tahitian lemon grading system based on computer vision. In Chakrabarti S, Paul R, editors, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 283-289. (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022). doi: 10.1109/UEMCON54665.2022.9965667

Simulation of an Automated Tahitian lemon grading system based on computer vision

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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