An Exploration of Contagion Infection in Citrus Plant with Augmented Data using ConvNet-Reference-Cited by-同舟云学术

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An Exploration of Contagion Infection in Citrus Plant with Augmented Data using ConvNet

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
Short-container-title:

Author:

S Shanmugapriya.¹,S Dhanasekaran.²,S Murugan. B.³

Affiliation:

1. Kalasalinagam Academy of Research and Education,Departement of Computer Science and Engineering,India

2. Kalasalinagam Academy of Research and Education,Departement of Information Technology,India

3. M. Kumarasamy College of Eengineering,Department of Computer Science and Engineering,Karur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250667.pdf?arnumber=10250667

Reference18 articles.

1. Citrus disease detection and classification using based on convolution deep neural networ;çetiner;Microprocessors and Microsystems,2022

2. Detection of citrus leaf diseases using a deep learning technique

3. Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images

4. Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease

5. Citrus pests classification using an ensemble of deep learning models

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