Automated Sorting System for Tahiti Lemons Using Raspberry PI

Carlos Janampa-Paitan; Jose Elias Flores-Llallico; Brayan Freddy Orellana-Garcia; Herbert Antonio Vilchez Baca

doi:10.1109/acirs58671.2023.10239685

Automated Sorting System for Tahiti Lemons Using Raspberry PI

Carlos Janampa-Paitan
, Jose Elias Flores-Llallico
, Brayan Freddy Orellana-Garcia
, Herbert Antonio Vilchez Baca

Research output: Contribution to journal › Original Article › peer-review

2 Scopus citations

Abstract

According to FreshFruit in the period 2023 the
production of Tahitian lemons was 13 515 tons for USD 14 million
being one of the most important citrus fruits in the Peruvian
economy. This work develops an automated system for the
classification of Tahiti lemons by size and maturity grade from
green to yellow. For the simulation of the classification of Tahiti
lemons by size from 3 to 6 cm, the bottleneck was determined by
direct observation and then the mechanical system was
programmed for the classification by size and degree of maturity
through the detection of color by HSV to classify Tahiti lemons
greater than 10% damage or by maturity, and then obtain the
simulation in Factory IO and TIA PORTAL with connection to
PLC S7-1200 1214 DC/DC/DC and a HMI TP700. Finally, the
grading proposal was implemented in which 100% of the Tahiti
lemons were recognized and packed for export through the
interactive HMI screen, being able to classify and count them
automatically, which has a graphical environment for the operator
to manipulate them.

Original language	Undefined/Unknown
Journal	2023 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)
DOIs	https://doi.org/10.1109/acirs58671.2023.10239685
State	Indexed - 7 Jul 2023
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/acirs58671.2023.10239685

Cite this

@article{5764f151b5e24c9ea3ea28bf609f4bd8,

title = "Automated Sorting System for Tahiti Lemons Using Raspberry PI",

abstract = "According to FreshFruit in the period 2023 the production of Tahitian lemons was 13 515 tons for USD 14 million being one of the most important citrus fruits in the Peruvian economy. This work develops an automated system for the classification of Tahiti lemons by size and maturity grade from green to yellow. For the simulation of the classification of Tahiti lemons by size from 3 to 6 cm, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and degree of maturity through the detection of color by HSV to classify Tahiti lemons greater than 10\% damage or by maturity, and then obtain the simulation in Factory IO and TIA PORTAL with connection to PLC S7-1200 1214 DC/DC/DC and a HMI TP700. Finally, the grading proposal was implemented in which 100\% of the Tahiti lemons were recognized and packed for export through the interactive HMI screen, being able to classify and count them automatically, which has a graphical environment for the operator to manipulate them.",

keywords = "Automated Selection, Colour Filter, Image Segmentation, Bottleneck, Tia Portal",

author = "Carlos Janampa-Paitan and Flores-Llallico, \{Jose Elias\} and Orellana-Garcia, \{Brayan Freddy\} and Baca, \{Herbert Antonio Vilchez\}",

year = "2023",

month = jul,

day = "7",

doi = "10.1109/acirs58671.2023.10239685",

language = "Indefinido/desconocido",

journal = "2023 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)",

}

TY - JOUR

T1 - Automated Sorting System for Tahiti Lemons Using Raspberry PI

AU - Janampa-Paitan, Carlos

AU - Flores-Llallico, Jose Elias

AU - Orellana-Garcia, Brayan Freddy

AU - Baca, Herbert Antonio Vilchez

PY - 2023/7/7

Y1 - 2023/7/7

N2 - According to FreshFruit in the period 2023 the production of Tahitian lemons was 13 515 tons for USD 14 million being one of the most important citrus fruits in the Peruvian economy. This work develops an automated system for the classification of Tahiti lemons by size and maturity grade from green to yellow. For the simulation of the classification of Tahiti lemons by size from 3 to 6 cm, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and degree of maturity through the detection of color by HSV to classify Tahiti lemons greater than 10% damage or by maturity, and then obtain the simulation in Factory IO and TIA PORTAL with connection to PLC S7-1200 1214 DC/DC/DC and a HMI TP700. Finally, the grading proposal was implemented in which 100% of the Tahiti lemons were recognized and packed for export through the interactive HMI screen, being able to classify and count them automatically, which has a graphical environment for the operator to manipulate them.

AB - According to FreshFruit in the period 2023 the production of Tahitian lemons was 13 515 tons for USD 14 million being one of the most important citrus fruits in the Peruvian economy. This work develops an automated system for the classification of Tahiti lemons by size and maturity grade from green to yellow. For the simulation of the classification of Tahiti lemons by size from 3 to 6 cm, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and degree of maturity through the detection of color by HSV to classify Tahiti lemons greater than 10% damage or by maturity, and then obtain the simulation in Factory IO and TIA PORTAL with connection to PLC S7-1200 1214 DC/DC/DC and a HMI TP700. Finally, the grading proposal was implemented in which 100% of the Tahiti lemons were recognized and packed for export through the interactive HMI screen, being able to classify and count them automatically, which has a graphical environment for the operator to manipulate them.

KW - Automated Selection

KW - Colour Filter

KW - Image Segmentation

KW - Bottleneck

KW - Tia Portal

UR - http://dx.doi.org/10.1109/acirs58671.2023.10239685

U2 - 10.1109/acirs58671.2023.10239685

DO - 10.1109/acirs58671.2023.10239685

M3 - Artículo original

JO - 2023 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)

JF - 2023 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)

ER -