Performance Analysis of CNN Models with Data Augmentation in Rice Diseases-Reference-Cited by-同舟云学术

Performance Analysis of CNN Models with Data Augmentation in Rice Diseases

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd Asian Conference on Innovation in Technology (ASIANCON)
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Author:

Singh Mukesh Kumar¹,Singh Pankaj²,Gupta Vishan Kumar³,Mishra Kunti⁴,Gupta Ankit⁵

Affiliation:

1. Galgotias Collge of Engineering & Technology,Department of CSE,Greater Noida,India

2. Ajay Kumar Garg Engineering College,Department of information technology,Ghaziabad,India

3. Sir Padampat Singhania University,Department of CSE,Udaipur,India

4. Noida Institute of Engineering and Technology,Department of Mathematics,Greater Noida,India

5. Graphic Era Deemed to be University,Department of CSE,Dehradun,UK,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269797/10269805/10270518.pdf?arnumber=10270518

Reference28 articles.

1. Evaluation of image processing technique in identifying rice blast disease in field conditions based on KNN algorithm improvement by K‐means

2. Rice Disease Detection by Image Analysis

3. Image processing based rice plant leaves diseases in Thanjavur, Tamilnadu;devi;Cluster Computing,2019

4. Detection of Rice Leaf Diseases Using Image Processing

5. A faster technique on rice disease detectionusing image processing of affected area in agro- field;taohidul;2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT),2018

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