Classification of Rice Leaves Diseases by Deep CNN-Transfer Learning Approach for Improved Rice Agriculture-Reference-Cited by-同舟云学术

Classification of Rice Leaves Diseases by Deep CNN-Transfer Learning Approach for Improved Rice Agriculture

Published:2022-12-02 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)
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Author:

Moiz Mehwish¹,Akmal Muhammad²,Ishtiaq Muhammad Shakeel³,Javed Usman⁴

Affiliation:

1. Riphah International University,Department of Electrical Engineering,Islamabad,Pakistan,44000

2. Riphah International University,Department of Biomedical Engineering,Lahore,Pakistan,54000

3. Riphah International University,Department of Biomedical Engineering,Islamabad,Pakistan,44000

4. Hamdard University,Department of Electrical Engineering,Islamabad,Pakistan,44000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007062/10007091/10007235.pdf?arnumber=10007235

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5. Convolutional neural network layers and architectures;džakula;Sinteza 2019-International Scientific Conference on Information Technology and Data Related Research,2019

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1. Papaya Leaf Disease Identification using ResNet with Transfer Learning;2023 8th International Conference on Robotics and Automation Engineering (ICRAE);2023-11-17

2. Transfer Learning for Rice Plant Leaves Classification;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. An In-Depth Analysis of Deep Learning and Machine Learning Methods for Identifying Rice Leaf Diseases;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20