Tomato Quality Classification Based on Transfer Learning Feature Extraction and Machine Learning Algorithm Classifiers-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:8283-8295
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mputu Hassan Shabani¹^ORCID,Abdel-Mawgood Ahmed²,Shimada Atsushi³^ORCID,Sayed Mohammed S.¹^ORCID

Affiliation:

1. Department of Electronics and Communications Engineering, Egypt-Japan University of Science and Technology (EJUST), New Borg El-Arab City, Alexandria, Egypt

2. Institute of Basic and Applied Sciences, Egypt-Japan University of Science and Technology (EJUST), New Borg El-Arab City, Alexandria, Egypt

3. Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

Funder

Egypt-Japan University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10388315.pdf?arnumber=10388315

Reference50 articles.

1. Computer Vision System for Mango Fruit Defect Detection Using Deep Convolutional Neural Network

2. International Standards for Fruit and Vegetables

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