RETRACTED: Optimizing precision agriculture: Bayesian-enhanced papaya (Carica papaya L.) fruit disease classification via cubic SVM and ResNet-101 deep features-Reference-Cited by-同舟云学术

RETRACTED: Optimizing precision agriculture: Bayesian-enhanced papaya (Carica papaya L.) fruit disease classification via cubic SVM and ResNet-101 deep features

Published:2024-03-23 Issue: Volume: Page:1-17
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Ratha Ashoka Kumar¹,Behera Santi Kumari²,Devi A. Geetha³,Barpanda Nalini Kanta¹,Sethy Prabira Kumar¹⁴

Affiliation:

1. Department of Electronics Engineering, Sambalpur University, Jyoti Vihar, Burla, Sambalpur, Odisha, India

2. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

3. PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

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

Abstract

This article has been retracted.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

Publisher

IOS Press

Reference19 articles.

1. PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition;Khanna;Multimed Tools Appl,2024

2. Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images;Singh;Multimed Tools Appl,2024

3. Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy;Khanna;Multimed Tools Appl,2023

4. Evaluation of river water quality index using remote sensing and artificial intelligence models;Najafzadeh;Remote Sensing,2023

5. ML-CK-ELM: An efficient multi-layer extreme learning machine using combined kernels for multi-label classification;Rezaei Ravari;Scientia Iranica,2020

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