Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture-Reference-Cited by-同舟云学术

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Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture

Published:2024-05-17 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
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Author:

Balamurugan M.¹,Srividhya N.²,Indhumathi G³,Arul Vettrivel⁴,Rahul S S G⁵,Kalaiarasi K.¹

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences,Saveetha school of Engineering,Department of ECE,Chennai,Tamil Nadu,India

2. K.Ramakrishnan College of Engineering,Department of ECE,Trichy,Tamilnadu,India

3. Rajalakshmi Engineering College,Department of ECE,Chennai,Tamilnadu,India

4. Vinayaka Mission’s Research Foundation (DU),Vinayaka Mission’s Homoeopathic Medical College & Hospital,Department of Community Medicine,Salem,Tamil Nadu,India

5. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Electronics & Communication Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594188.pdf?arnumber=10594188

Reference16 articles.

1. Tomato Leaf Disease Detection through Machine Learning based Parallel Convolutional Neural Networks

2. Crop prediction using machine learning

3. Rice plant disease diagnosing using machine learning techniques: a comprehensive review

4. Development of a Multi-Sensor Fusion Framework for Early Detection and Monitoring of Corn Plant Diseases

5. A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification

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