Development of an artificial vision algorithm to facilitate the selection of avocados for export to growers

Authors

  • Leslie Katherine Montano Maldonado Universidad Cesar Vallejo
  • Alexandra Nicol Vásquez Rodríguez Universidad Cesar Vallejo
  • Jenniffer Elizabeth Loor Zambrano British House Internacional
  • Jhonatan Alexander Luzardo Zamora Universidad Cesar Vallejo
  • José Alberto Castro Curay Instituto Superior Tecnológico Publico de Huarmey https://orcid.org/0000-0003-0794-2968

DOI:

https://doi.org/10.18050/ingnosis.v9i2.3180

Keywords:

Avocado selection, export quality, artificial vision, neural networks

Abstract

This study presents the development of an artificial vision algorithm for avocado selection intended for exportation. The YOLOv7 model was employed using transfer learning to construct the algorithm, achieving an efficiency of 96.36% in identifying avocados suitable or unsuitable for export. The algorithm demonstrates significant potential to enhance agricultural selection processes and warehouse operations, offering an efficient and promising tool to improve quality and competitiveness within the agro-export industry.

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Published

2023-11-29

How to Cite

Montano Maldonado, L. K., Vásquez Rodríguez, A. N. ., Loor Zambrano, J. E. ., Luzardo Zamora, J. A., & Castro Curay, J. A. (2023). Development of an artificial vision algorithm to facilitate the selection of avocados for export to growers. INGnosis, 9(2), 44–53. https://doi.org/10.18050/ingnosis.v9i2.3180

Issue

Vol. 9 No. 2 (2023): Julio - Diciembre

Section

Original Article

License

Copyright (c) 2024 Leslie Katherine Montano Maldonado, Alexandra Nicol Vásquez Rodríguez, Jenniffer Elizabeth Loor Zambrano, Jhonatan Alexander Luzardo Zamora, José Alberto Castro Curay

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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