Parametric and Non-Parametric Analysis on Mango Leaf Disease Detection via Optimized Hybrid Model-Reference-Cited by-同舟云学术

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Parametric and Non-Parametric Analysis on Mango Leaf Disease Detection via Optimized Hybrid Model

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS)
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Author:

Mohapatra Madhumini¹,Parida Ami Kumar¹,Mallick Pradeep Kumar²,Padhy Neelamadhab³

Affiliation:

1. GIET University Gunupur,Department of Electronics & Communication Eengineering,Odisha,India

2. School of Computer Engineering, KIIT Deemed to be University,Odisha,India

3. GIET University,Department of Computer Science and Engineering,Gunupur,Odisha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291170/10291178/10291355.pdf?arnumber=10291355

Reference30 articles.

1. Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

2. Web Facilitated Anthracnose Disease Segmentation from the Leaf of Mango Tree Using Radial Basis Function (RBF) Neural Network

3. Recognition of mango leaf disease using convolutional neural network models: a transfer learning approach

4. Mango Leaf Disease Identification Using Fully Resolution Convolutional Network

5. Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems;hashimaessam;Mathematics and Computers in Simulation,2022

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