Image-based Quality Identification of Black Soybean (Glycine soja) Using Convolutional Neural Network

Image-based Quality Identification of Black Soybean (Glycine soja) Using Convolutional Neural Network

The problem faced in identifying the quality of black soybeans is that the quality of the assessment is inconsistent and it takes a relatively long time. This study aims to determine the best convolutional neural network architecture by comparing the performance of Custom CNN, MobileNetV2, and ResNe...

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Bibliographic Details
Main Authors: Mas'ud Effendi, Naufal Hilmi Ramadhan, Arif Hidayat
Format: Article
Language:English
Published: University of Brawijaya 2023-07-01
Series:Industria: Jurnal Teknologi dan Manajemen Agroindustri
Subjects:
black soybean
convolutional neural network
image
mobilenetv2
resnet-34
Online Access:https://industria.ub.ac.id/index.php/industri/article/view/5420

Internet

https://industria.ub.ac.id/index.php/industri/article/view/5420

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