Machine Learning and Deep Learning for Plant Disease Classification and Detection-Reference-Cited by-同舟云学术

Machine Learning and Deep Learning for Plant Disease Classification and Detection

Published:2023 Issue: Volume:11 Page:114352-114377
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Balafas Vasileios¹^ORCID,Karantoumanis Emmanouil¹^ORCID,Louta Malamati¹^ORCID,Ploskas Nikolaos¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece

Funder

European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation

Hellenic Academic Libraries Link

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/ielx7/6287639/10005208/10286031.pdf?arnumber=10286031

Reference150 articles.

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc Int Conf Mach Learn,2015

2. New perspectives on plant disease characterization based on deep learning

3. Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming

4. Deep Learning for Agricultural Plant Disease Detection

5. Densely Connected Convolutional Networks

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