MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases-Reference-Cited by-同舟云学术

MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases

Published:2023 Issue: Volume:11 Page:52862-52876
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Masood Momina¹^ORCID,Nawaz Marriam²^ORCID,Nazir Tahira³^ORCID,Javed Ali²^ORCID,Alkanhel Reem⁴^ORCID,Elmannai Hela⁴^ORCID,Dhahbi Sami⁵,Bourouis Sami⁶^ORCID

Affiliation:

1. Department of Computer Science, University of Engineering and Technology at Taxila, Taxila, Pakistan

2. Department of Software Engineering, University of Engineering and Technology at Taxila, Taxila, Pakistan

3. Department of Computer Science, Faculty of Computing, Riphah International University Gulberg Green Campus, Islamabad, Pakistan

4. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. Department of Computer Science, College of Science and Art at Muhayil Aseer, King Khalid University, Muhayil Aseer, Saudi Arabia

6. Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University through Large Group Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

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/ielx7/6287639/10005208/10136691.pdf?arnumber=10136691

Reference82 articles.

1. Trends in vision-based machine learning techniques for plant disease identification: A systematic review

2. Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet

3. Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges;wani;Arch Comput Methods Eng,2021

4. Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

5. Detecting Bakanae disease in rice seedlings by machine vision

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