Hybridized Model for Improved Papaya Leaf Disease Classification: CNN and Random Forest Integration-Reference-Cited by-同舟云学术

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Hybridized Model for Improved Papaya Leaf Disease Classification: CNN and Random Forest Integration

Published:2024-05-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 5th International Conference for Emerging Technology (INCET)
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Author:

Mir Taifa Ayoub¹,Banerjee Deepak¹,Kumar Mukesh²,Rawat Ruchira³,Chanti Yerrolla⁴

Affiliation:

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

2. Graphic Era Hill University,Dehradun,Uttarakhand,India

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

4. School of Computer Science & Artificial Intelligence, SR University,Warangal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592862/10592849/10593105.pdf?arnumber=10593105

Reference16 articles.

1. Machine Learning based Image Classification of Papaya Disease Recognition

2. Deep Learning based Classification of Papaya Disease Recognition

3. Maturity status classification of papaya fruits based on machine learning and transfer learning approach

4. Plant Disease Detection Using Machine Learning

5. Papaya Diseases Detection Using GLCM Feature Extraction and Hyperparatuning of Machine Learning Approach

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