RETRACTED: ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification-Reference-Cited by-同舟云学术

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RETRACTED: ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification

Published:2024-03-05 Issue:3 Volume:46 Page:7035-7045
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Behera Santi Kumari¹,Anitha Komma²,Amat Rajat³,Sethy Prabira Kumar³⁴^ORCID

Affiliation:

1. Department of CSE, VSSUT Burla, India

2. ECE Department, PVP Siddhartha Institute of Technology, Vijayawada, India

3. Department of Electronics, Sambalpur University, Burla, India

4. Department of Electronics and Communication Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, C.G., India

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference37 articles.

1. Automatic fruit and vegetable classification from images;Rocha;Comput Electron Agric,2010

2. Bayesian classification of ripening stages of tomato fruit using acoustic impact and colorimeter sensor data;Baltazar;Comput Electron Agric,2008

3. Classification of fruits and vegetables;Pennington;J Food Compos Anal,2009

4. Classification of fruits using computer vision and a multiclass support vector machine;Zhang;Sensors,2012

5. Fruit classification using computer vision and feedforward neural network;Yudong Zhang;Journal of Food Engineering,2014

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