Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection.

Pourdarbani, Raziyeh; Sabzi, Sajad; Zohrabi, Reihaneh; García-Mateos, Ginés; Fernandez-Beltran, Ruben; Molina-Martínez, José Miguel; Rohban, Mohammad H

Pourdarbani, Raziyeh; Sabzi, Sajad; Zohrabi, Reihaneh; García-Mateos, Ginés; Fernandez-Beltran, Ruben; Molina-Martínez, José Miguel; Rohban, Mohammad H.

Afiliação

Pourdarbani R; Department of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
Sabzi S; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Zohrabi R; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
García-Mateos G; Computer Science and Systems Department, University of Murcia, Murcia, Spain.
Fernandez-Beltran R; Computer Science and Systems Department, University of Murcia, Murcia, Spain.
Molina-Martínez JM; Food Engineering and Agricultural Equipment Department, Technical University of Cartagena, Cartagena, Spain.
Rohban MH; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.

J Food Sci ; 88(12): 5149-5163, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37876302

Assuntos

Contusões; Frutas; Imageamento Hiperespectral; Redes Neurais de Computação

Palavras-chave

bruise detection; computer vision; deep learning; hyperspectral imaging; visible and near-infrared spectroscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Contusões / Frutas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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