Image Processing Techniques for Leaf Disease Detection based on ELM-SSA Approach-Reference-Cited by-同舟云学术

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Image Processing Techniques for Leaf Disease Detection based on ELM-SSA Approach

Published:2023-12-21 Issue: Volume:6 Page:311-316
ISSN:
Container-title:2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Kumar A.Sasi¹,Ramesh M.²,Arpana M³,Sudarshanam A⁴,Velusudha N.T.⁵,Suthar Trilok⁶

Affiliation:

1. Srinivas University,Institute of Engineering & Technology,Department of CSE,Dakshina Kannada District,Karnataka State,India

2. AVNIET Koheda, Ibrahimpatnam,Department of ECE,India

3. AVN Institute of Engineering and Technology, Ibrahimpatnam,Department of ECE,Hyderabad,India

4. SR University,School of Agriculture,Warangal,Telangana,India

5. Prince Shri Venkateshwara Padmavathy Engineering College,Department of ECE,Chennai

6. ADIT, CVM University,Department of IT,Anand,Gujarat,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424966/10425793/10426262.pdf?arnumber=10426262

Reference24 articles.

1. Leaf Disease Detection in Crops based on Single-Hidden Layer Feed-Forward Neural Network and Hierarchal Temporary Memory

2. Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine

3. Weighted Mask Recurrent-Convolutional Neural Network based Plant Disease Detection using Leaf Images

4. Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

5. Deep learning models for plant disease detection and diagnosis

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