Rice Sheath Rot Disease Diagnosis Utilizing Deep Learning: A Wavelet-Filtered Method for Feature Extraction and Analysis-Reference-Cited by-同舟云学术

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Rice Sheath Rot Disease Diagnosis Utilizing Deep Learning: A Wavelet-Filtered Method for Feature Extraction and Analysis

Published:2024-06-21 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Doma Sreelakshmi¹,Rinku Dhruva R.²,Jyothi V.³,Kumar Puli Vinay⁴,Atheeswaran Athiraja⁵,Rajeswaran N⁶

Affiliation:

1. Institute of Aeronautical Engineering,CSE(AI&ML),Hyderabad,Telangana,India

2. CVR College Of Engineering,Department of ECE,Hyderabad,Telangana,India

3. Vardhaman college of Engineering,Department of ECE,Hyderabad,Telangana,India

4. Malla Reddy Engineering College,IT Department,Hyderabad,Telangana,India

5. Malla Reddy College of Engineering,Department of CSE,Hyderabad,Telangana,India

6. Malla Reddy College of Engineering,Department of ECE,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10627307.pdf?arnumber=10627307

Reference20 articles.

1. Pathobiomes Revealed that Pseudomonas fuscovaginae and Sarocladium oryzae Are Independently Associated with Rice Sheath Rot

2. Rice Leaf Diseases Recognition Using Convolutional Neural Networks

3. Rice diseases detection using Convolutional Neural Networks: A Survey

4. Plant Disease Detection and Classification by Deep Learning—A Review

5. Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques

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