Tomato Quality Classification Based on Transfer Learning Feature Extraction and Machine Learning Algorithm Classifiers

The demand for high-quality tomatoes to meet consumer and market standards, combined with large-scale production, has necessitated the development of an inline quality grading. Since manual grading is time-consuming, costly, and requires a substantial amount of labor. This study introduces a novel a...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hassan Shabani Mputu, Ahmed Abdel-Mawgood, Atsushi Shimada, Mohammed S. Sayed
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Grading feature extraction machine learning algorithms tomato image preprocessing
Online Access:	https://ieeexplore.ieee.org/document/10388315/