Improved Diagnosis Accuracy Using Machine Learning for Plant Diseases-Reference-Cited by-同舟云学术

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Improved Diagnosis Accuracy Using Machine Learning for Plant Diseases

Published:2023-12-01 Issue: Volume:8 Page:11-16
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Rakhra Manik¹,Singh Dalwinder²,Singh Arun¹,Sharma Vikrant³,Dhakshinesh S¹,Islam Zim MD Khadimul⁴,Thapar Puneet¹,Kaur Baljinder¹,Singh Harpreet¹

Affiliation:

1. School of Computer Science and Engineering, Lovely Professional University,Phagwara,India

2. Lovely Professional University Jalandhar,Department of Computer Science &Engineering,Phagwara,India

3. Graphic Era Hill University,Department of Computer Science &Engineering,Dehradun,Uttarakhand,India

4. Ghent University,Master of Science in Business Engineering, Faculty of Economic and Business Administration,Ghent,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434724.pdf?arnumber=10434724

Reference26 articles.

1. Using Deep Learning for Image-Based Plant Disease Detection

2. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

3. A Comprehensive Analysis of Ultrasound Image Processing Methods

4. Plant leaf classification using probabilistic integration of shape, texture and margin features;Ghosal;Scientific reports,2018

5. Review On Application Based Bus Tracking System

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