Coordinate Attention Mechanism with Convolutional Neural Network for Tomato Leaf Diseases-Reference-Cited by-同舟云学术

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Coordinate Attention Mechanism with Convolutional Neural Network for Tomato Leaf Diseases

Published:2023-11-24 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
language:
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Author:

Hussein Abbas Hameed Abdul¹,Adnan Myasar Mundher²,Hemalatha K.L³,Malathy V.⁴,Rajesh N⁵

Affiliation:

1. Ahl Al Bayt University,College of Pharmacy,Karbala,Iraq

2. The Islamic university,Najaf,Iraq

3. Sri Krishna Institute of Technology,Department of Information Science and Engineering,Bangalore,India

4. SR University,School of Engineering,Department of ECE,Warangal,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421455.pdf?arnumber=10421455

Reference16 articles.

1. Tomato Leaf Disease Detection System Based on FC-SNDPN

2. Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment

3. Plant leaf disease detection using computer vision and machine learning algorithms

4. Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Assessment of Various Deep Learning Based Models for Multiclass Classification of Tomato Leaf Diseases;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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