Apple Fruit leaf Disease Detection and Classification using Quantum Behaved Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Apple Fruit leaf Disease Detection and Classification using Quantum Behaved Particle Swarm Optimization

Published:2024-02-23 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
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Author:

Math Gayatri¹,P Vishwanath²,Adnan Myasar Mundher³,Reddy R Archana⁴,Sundaram S. Meenakshi⁵

Affiliation:

1. Raichur Visvesvaraya Technological University,H.K.E. Society's S.M.V. College of Engineering,Department of ECE,Belgaum,Karnataka,India

2. H.K.E. Society's S.M.V. College of Engineering,Department of ECE,Raichur,Karnataka,India

3. The Islamic University,Najaf,Iraq

4. School of Computer Science and Artificial Intelligence SR University,Warangal,Telangana,India

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498615.pdf?arnumber=10498615

Reference13 articles.

1. Leaf disease identification and classification using optimized deep learning

2. Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm

3. Detection of Plants Leaf Diseases using Swarm Optimization Algorithms

4. Application of a new machine learning model to improve earthquake ground motion predictions

5. On Precision Agriculture: Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method

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