Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.) Article Swipe

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Daniela López-Betancur , Tonatiuh Saucedo-Anaya , Carlos Guerrero-Méndez , David Navarro-Solís , Luis Silva-Acosta , Antonio Robles-Guerrero , Salvador Gómez-Jiménez ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.61467/2007.1558.2024.v15i2.462

This paper analyzes Convolutional Neural Network (CNN) models for classifying dried chili pepper quality. The models categorize images into five categories: “Extra”, “First Class”, “Second Class”, “Trash”, and “Empty”, each representing different qualities and scenarios in a sorting machine. We compared architectures from the Torchvision library, including ResNet, ResNeXt, Wide_ResNet, and RegNet using Transfer Learning (TL) in a feature extraction approach. All models employ residual blocks, an innovative technique enhancing deep learning performance. The models were evaluated using crossvalidation and metrics such as Precision, Recall, Specificity, F1-score, Geometric_mean, Index of Balanced Accuracy, and the Matthews Correlation Coefficient. They were trained using SGD, Adagrad, and Adam optimizers. Our findings suggest that ResNet-152, trained with the Adagrad optimizer, achieved the highest mean validation accuracy of 96.62%. The selected model can assist agricultural producers in classifying their products according to international standards.

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Capsicum annuum Chili pepper Horticulture Botany Computer science Biology Pepper

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Type: article
Language: en
Landing Page: https://doi.org/10.61467/2007.1558.2024.v15i2.462
OA Status: diamond
Cited By: 2
Related Works: 10
OpenAlex ID: https://openalex.org/W4400822632

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OpenAlex ID: https://openalex.org/W4400822632

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DOI: https://doi.org/10.61467/2007.1558.2024.v15i2.462

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Title: Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.)

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-06-12

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Authors: Daniela López-Betancur, Tonatiuh Saucedo-Anaya, Carlos Guerrero-Méndez, David Navarro-Solís, Luis Silva-Acosta, Antonio Robles-Guerrero, Salvador Gómez-Jiménez

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Landing page: https://doi.org/10.61467/2007.1558.2024.v15i2.462

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OA status: diamond

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OA URL: https://doi.org/10.61467/2007.1558.2024.v15i2.462

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Concepts: Capsicum annuum, Chili pepper, Horticulture, Botany, Computer science, Biology, Pepper

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Cited by: 2

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