Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA DeepNet-Reference-Cited by-同舟云学术

Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA DeepNet

Published:2023 Issue: Volume:11 Page:14983-15001
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Roy Kyamelia¹,Chaudhuri Sheli Sinha¹,Frnda Jaroslav²^ORCID,Bandopadhyay Srijita³,Ray Ishan Jyoti³,Banerjee Soumen⁴^ORCID,Nedoma Jan⁵^ORCID

Affiliation:

1. Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India

2. Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communication, University of Zilina, Zilina, Slovakia

3. Department of Electronics and Communication Engineering, University of Engineering and Management, Kolkata, India

4. Department of Electronics and Communication Engineering, Budge Budge Institute of Technology, Kolkata, India

5. Department of Telecommunications, VSB—Technical University of Ostrava, Ostrava, Czech Republic

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/ielx7/6287639/10005208/10042407.pdf?arnumber=10042407

Reference36 articles.

1. A Hybrid Approach for Plant Leaf Disease Detection and Classification Using Digital Image Processing Methods

2. How Convolutional Neural Networks Diagnose Plant Disease

3. Plant Disease Detection using Deep Learning

4. A Survey on the Plant Leaf Disease Detection Techniques

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