Hybrid CNN & Random Forest Model for Effective Curry Leaf Disease Diagnosis-Reference-Cited by-同舟云学术

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Hybrid CNN & Random Forest Model for Effective Curry Leaf Disease Diagnosis

Published:2023-11-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Banerjee Deepak¹,Kukreja Vinay¹,Jain Ayushi²,Rawat Ramesh Singh³,Hariharan Shanmugasundaram⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Computer Science and Engineering Graphic Era Hill University,Dehradun,Uttarakhand,India,248002

3. Graphic Era Deemed to be University,Dehradun,Uttarakhand,India

4. Vardhaman College of Engineering,Department of Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369012.pdf?arnumber=10369012

Reference14 articles.

1. Tea Leaf Diseases Classification and Detection using a Convolutional Neural Network

2. Enhancing Cybersecurity Policies with Blockchain Technology: A Survey

3. Ransomware Attack Detection in the Internet of Things using Machine Learning Approaches

4. Plant Leaf Disease Classification and Detection System Using Machine Learning

5. An Ensemble-Based Model of Detecting Plant Disease using CNN and Random Forest

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