Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications

Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications

The food industry continuously prioritizes methods and technologies to ensure product quality and safety. Traditional approaches, which rely on conventional algorithms that utilize predefined features, have exhibited limitations in representing the intricate characteristics of food items. Recently,...

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Bibliographic Details
Main Authors: Azeddine Mjahad, Antonio Polo-Aguado, Luis Llorens-Serrano, Alfredo Rosado-Muñoz
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
chicken meat
food quality control
deep learning in food analysis
convolutional neural network
feature extraction
image preprocessing
Online Access:https://www.mdpi.com/2076-3417/15/2/733
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