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Simulation of an Automated System to select Peruvian avocados by computer vision

Research output: Chapter in Book/ReportConference contributionpeer-review

Abstract

The aim for this study is to develop a simulation of an automated Peruvian avocado classification system based on computer vision. In order to develop the computer vision process, the principle of learning by transfer was analyzed and a flowchart for Factory IO and TIA Portal simulation was created. An environmental system simulation was procured through the software Factory IO, as well as image processing through the Teachable Machine software. Whereby, the characteristics of the three avocado varieties were introduced, and the system had the ability to select the avocados with the data. In conclusion, the current design optimized the process by automatizing the selection and storage of the avocados reducing the execution time for both processes.

Original languageAmerican English
Title of host publicationInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535599
DOIs
StateIndexed - 2025
EventIEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025 - Paris, France
Duration: 3 Jul 20256 Jul 2025

Publication series

NameInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2025

Conference

ConferenceIEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025
Country/TerritoryFrance
CityParis
Period3/07/256/07/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • agriculture
  • automation
  • Simulation
  • sorting

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