Automated System for Sorting Blueberries by Size and Degree of Ripeness

Eduardo Antony Parraga-Arotinco; Rosmeri Pilar Cárdenas-Martinez; Herbert Antonio Vilchez-Baca; José Luis Misari-Baldeon

doi:10.1109/ICCRI58865.2023.00021

Automated System for Sorting Blueberries by Size and Degree of Ripeness

Eduardo Antony Parraga-Arotinco, Rosmeri Pilar Cárdenas-Martinez, Herbert Antonio Vilchez-Baca, José Luis Misari-Baldeon

School of Industrial Engineering

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

1 Scopus citations

Abstract

According to the National Institute of Statistics and Informatics in the period of 2022, the production of blueberries was 42 thousand 40 tons, in which Peru has an export share of 59% destined for the United States. This work develops an automated system for the classification of blueberries by size and degree of maturity. For the simulation of the classification of blueberries by size from 10 mm to 14 mm and above, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and then the colour detection was performed by HSV to classify blueberries over 10 mm 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 HM1 TP700. Finally, the sorting proposal was implemented in which 100% of the blueberries were recognised by means of the interactive HMI screen, being able to automatically sort and count them, which has a graphic environment for the operator to manipulate.

Original language	American English
Title of host publication	Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	74-80
Number of pages	7
ISBN (Electronic)	9798350323283
DOIs	https://doi.org/10.1109/ICCRI58865.2023.00021
State	Indexed - 2023
Event	6th International Conference on Control, Robotics and Informatics, ICCRI 2023 - Danang, Viet Nam Duration: 26 May 2023 → 28 May 2023

Publication series

Name	Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023

Conference

Conference	6th International Conference on Control, Robotics and Informatics, ICCRI 2023
Country/Territory	Viet Nam
City	Danang
Period	26/05/23 → 28/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE

Keywords

TIA PORTAL
automated selection
bottleneck
colour filter
image segmentation

Access to Document

10.1109/ICCRI58865.2023.00021

Cite this

Parraga-Arotinco, E. A., Cárdenas-Martinez, R. P., Vilchez-Baca, H. A., & Misari-Baldeon, J. L. (2023). Automated System for Sorting Blueberries by Size and Degree of Ripeness. In Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023 (pp. 74-80). (Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCRI58865.2023.00021

Parraga-Arotinco, Eduardo Antony ; Cárdenas-Martinez, Rosmeri Pilar ; Vilchez-Baca, Herbert Antonio et al. / Automated System for Sorting Blueberries by Size and Degree of Ripeness. Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 74-80 (Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023).

@inproceedings{423e2712b3574ede970373321fcf775e,

title = "Automated System for Sorting Blueberries by Size and Degree of Ripeness",

abstract = "According to the National Institute of Statistics and Informatics in the period of 2022, the production of blueberries was 42 thousand 40 tons, in which Peru has an export share of 59% destined for the United States. This work develops an automated system for the classification of blueberries by size and degree of maturity. For the simulation of the classification of blueberries by size from 10 mm to 14 mm and above, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and then the colour detection was performed by HSV to classify blueberries over 10 mm 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 HM1 TP700. Finally, the sorting proposal was implemented in which 100% of the blueberries were recognised by means of the interactive HMI screen, being able to automatically sort and count them, which has a graphic environment for the operator to manipulate.",

keywords = "TIA PORTAL, automated selection, bottleneck, colour filter, image segmentation",

author = "Parraga-Arotinco, {Eduardo Antony} and C{\'a}rdenas-Martinez, {Rosmeri Pilar} and Vilchez-Baca, {Herbert Antonio} and Misari-Baldeon, {Jos{\'e} Luis}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE; 6th International Conference on Control, Robotics and Informatics, ICCRI 2023 ; Conference date: 26-05-2023 Through 28-05-2023",

year = "2023",

doi = "10.1109/ICCRI58865.2023.00021",

language = "American English",

series = "Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023",

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

pages = "74--80",

booktitle = "Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023",

address = "United States",

}

Parraga-Arotinco, EA, Cárdenas-Martinez, RP, Vilchez-Baca, HA & Misari-Baldeon, JL 2023, Automated System for Sorting Blueberries by Size and Degree of Ripeness. in Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023. Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 74-80, 6th International Conference on Control, Robotics and Informatics, ICCRI 2023, Danang, Viet Nam, 26/05/23. https://doi.org/10.1109/ICCRI58865.2023.00021

Automated System for Sorting Blueberries by Size and Degree of Ripeness. / Parraga-Arotinco, Eduardo Antony; Cárdenas-Martinez, Rosmeri Pilar; Vilchez-Baca, Herbert Antonio et al.
Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 74-80 (Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023).

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

TY - GEN

T1 - Automated System for Sorting Blueberries by Size and Degree of Ripeness

AU - Parraga-Arotinco, Eduardo Antony

AU - Cárdenas-Martinez, Rosmeri Pilar

AU - Vilchez-Baca, Herbert Antonio

AU - Misari-Baldeon, José Luis

PY - 2023

Y1 - 2023

N2 - According to the National Institute of Statistics and Informatics in the period of 2022, the production of blueberries was 42 thousand 40 tons, in which Peru has an export share of 59% destined for the United States. This work develops an automated system for the classification of blueberries by size and degree of maturity. For the simulation of the classification of blueberries by size from 10 mm to 14 mm and above, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and then the colour detection was performed by HSV to classify blueberries over 10 mm 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 HM1 TP700. Finally, the sorting proposal was implemented in which 100% of the blueberries were recognised by means of the interactive HMI screen, being able to automatically sort and count them, which has a graphic environment for the operator to manipulate.

AB - According to the National Institute of Statistics and Informatics in the period of 2022, the production of blueberries was 42 thousand 40 tons, in which Peru has an export share of 59% destined for the United States. This work develops an automated system for the classification of blueberries by size and degree of maturity. For the simulation of the classification of blueberries by size from 10 mm to 14 mm and above, the bottleneck was determined by direct observation and then the mechanical system was programmed for the classification by size and then the colour detection was performed by HSV to classify blueberries over 10 mm 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 HM1 TP700. Finally, the sorting proposal was implemented in which 100% of the blueberries were recognised by means of the interactive HMI screen, being able to automatically sort and count them, which has a graphic environment for the operator to manipulate.

KW - TIA PORTAL

KW - automated selection

KW - bottleneck

KW - colour filter

KW - image segmentation

UR - http://www.scopus.com/inward/record.url?scp=85186534188&partnerID=8YFLogxK

U2 - 10.1109/ICCRI58865.2023.00021

DO - 10.1109/ICCRI58865.2023.00021

M3 - Conference contribution

AN - SCOPUS:85186534188

T3 - Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023

SP - 74

EP - 80

BT - Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Control, Robotics and Informatics, ICCRI 2023

Y2 - 26 May 2023 through 28 May 2023

ER -

Parraga-Arotinco EA, Cárdenas-Martinez RP, Vilchez-Baca HA, Misari-Baldeon JL. Automated System for Sorting Blueberries by Size and Degree of Ripeness. In Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 74-80. (Proceedings - 2023 6th International Conference on Control, Robotics and Informatics, ICCRI 2023). doi: 10.1109/ICCRI58865.2023.00021

Automated System for Sorting Blueberries by Size and Degree of Ripeness

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this