SE-Resnet152 Model: Early Corn Leaf Disease Identification and Classification using Feature Based Transfer Learning Technique-Reference-Cited by-同舟云学术

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SE-Resnet152 Model: Early Corn Leaf Disease Identification and Classification using Feature Based Transfer Learning Technique

Published:2023-10-20 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
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Author:

Kalpana Ponugoti¹,Chanti Yerrolla²,G Ravi³,D Regan⁴,Pareek Piyush Kumar⁵

Affiliation:

1. AVN Institute of Engineering & Technology,Department of CSE,Hyderabad,India

2. SR University,School of Computer Science & Artificial Intelligence,Warangal,India

3. Sona College of Technology,Dept of ECE,Salem,India

4. Siddartha Institute of Science and Technology,Department of ECE,Puttur,India

5. Nitte Meenakshi Institute of Technology,Department of AI and ML,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10392328.pdf?arnumber=10392328

Reference24 articles.

1. Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network

2. EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction

3. A novel deep learning method for detection and classification of plant diseases

4. Fine-grained action recognition using dynamic kernels

5. Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier

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