Identifying Defective Fruits and Vegetables with Hyper-spectral Images: A Brief Tutorial

Saul Figueroa, Manuel Eugenio Morocho-Cayamcela, Israel Pineda

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Horticulture is the branch of agriculture that addresses the crop of fruits and vegetables. This art of cultivating natural products has been a critical research area that helped to satisfy human's food consumption. The enhancement of quality control has improved the cost-effectiveness and increased the financial profit of the production. This study presents a processing pipeline architecture that assesses the quality of fruits and vegetables through image processing. The solution involves hyper-spectral imaging, image enhancement, image binarization, and median filtering. Our experiments demonstrate that our image processing pipeline proposal successfully identifies the defective regions in a publicly available dataset that contains images of apples and onions.

Idioma originalInglés
Título de la publicación alojadaProceedings - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas21-27
Número de páginas7
ISBN (versión digital)9781665455176
DOI
EstadoPublicada - 2022
Evento3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022 - Quito, Ecuador
Duración: 8 nov. 202210 nov. 2022

Serie de la publicación

NombreProceedings - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022

Conferencia

Conferencia3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022
País/TerritorioEcuador
CiudadQuito
Período8/11/2210/11/22

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