Automated and Enhanced Classification of Persea Americana Using Optimized Deep Convolutional Neural Networks With Improved Training Strategies for Agro-Industrial Settings

Automated and Enhanced Classification of Persea Americana Using Optimized Deep Convolutional Neural Networks With Improved Training Strategies for Agro-Industrial Settings

The agro-industrial sector faces significant challenges in product classification, which directly affect product quality, production efficiency and food safety. This paper proposes a machine learning model that correctly identifies the different attributes of Persea americana. For this, an automatic...

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Bibliographic Details
Main Authors: Oscar Vera, Jose Cruz, Severo Huaquipaco, Wilson Mamani, Victor Yana-Mamani, Saul Huaquipaco
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Classification Persea Americana
convolutional neuronal network
DenseNet
EfficientNet
ResNet
Online Access:https://ieeexplore.ieee.org/document/10750816/
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