Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming

Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming

Automating fish freshness assessment is crucial for ensuring quality control and operational efficiency in large-scale fish processing. This study evaluates deep learning models for classifying the freshness of Barbonymus gonionotus (Silver Barb) and optimizing their deployment in an automated fish...

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Bibliographic Details
Main Authors: Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Computers
Subjects:
fish freshness assessment
image classification
deep learning
MobileNetV2
MobileNetV3
EfficientNet Lite2
Online Access:https://www.mdpi.com/2073-431X/14/3/105
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