Enhanced Classification of Coffee Leaf Biotic Stress by Synergizing Feature Concatenation and Dimensionality Reduction-Reference-Cited by-同舟云学术

Enhanced Classification of Coffee Leaf Biotic Stress by Synergizing Feature Concatenation and Dimensionality Reduction

Published:2023 Issue: Volume:11 Page:100887-100906
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Latif Muhammad Armghan¹,Afshan Noor²,Mushtaq Zohaib³^ORCID,Khan Nabeel Ahmed⁴,Irfan Muhammad⁵^ORCID,Nowakowski Grzegorz⁶^ORCID,Alqhtani Samar M.⁷^ORCID,Mursal Salim Nasar Faraj⁵,Telenyk Sergii⁶

Affiliation:

1. Department of Computer and Information System, Cleveland State University, Cleveland, OH, USA

2. Department of Software Engineering, Faculty of Computer Science, Lahore Garrison University, Lahore, Pakistan

3. Department of Electrical Engineering, College of Engineering and Technology, University of Sargodha, Sargodha, Pakistan

4. Department of Electrical Engineering, Riphah International University, Islamabad, Pakistan

5. Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia

6. Faculty of Electrical and Computer Engineering, Cracow University of Technology, Kraków, Poland

7. Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

Funder

Faculty of Electrical and Computer Engineering, Cracow University of Technology and the Ministry of Science and Higher Education, Republic of Poland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10247538.pdf?arnumber=10247538

Reference39 articles.

1. Deep Learning Ensemble-Based Automated and High-Performing Recognition of Coffee Leaf Disease

2. Deep Residual Learning for Image Recognition

3. Challenges and Issues in Plant Disease Detection Using Deep Learning

4. Densely Connected Convolutional Networks

5. Deep learning for classification and severity estimation of coffee leaf biotic stress

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