Plant Leaf Disease Detection using Novel Machine Learning Approach-Reference-Cited by-同舟云学术

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Plant Leaf Disease Detection using Novel Machine Learning Approach

Published:2023-10-20 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

Yogananda G. S.¹,J Ananda Babu.²,R Ramya³,Maheswari Mamilla⁴,Sundaram S. Meenakshi⁵

Affiliation:

1. Kalpataru Institute of Technology,Department of Electronics and Communication,Tiptur,India

2. Malnad College of Engineering,Department of Information Science and Engineering,Hassan,India

3. Bannari Amman Institute of Technology,Department of Computer Science and Engineering,Erode,India

4. Malla Reddy Engineering College for Women,India

5. Nitte Meenakshi Institute of Technology,Department of AI and DS,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393299.pdf?arnumber=10393299

Reference14 articles.

1. Deep feature-based plant disease identification using machine learning classifier

2. Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier

3. Extreme learning machine for plant diseases classification: a sustainable approach for smart agriculture

4. An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm

5. Application of machine learning techniques in rice leaf disease detection

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