Performance Analysis of Pre-Trained Deep Learning Architectures for Classification of Corn Leaf Diseases-Reference-Cited by-同舟云学术

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Performance Analysis of Pre-Trained Deep Learning Architectures for Classification of Corn Leaf Diseases

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Nalli Praveen Kumar¹,Subbarao M. Venkata²,Garapati Durga Prasad¹,K P Swaroop³,Priyakanth R.⁴,Kumar G Prasanna²

Affiliation:

1. Shri Vishnu Engineering College for Women,Department of AI,Bhimavaram,India

2. Shri Vishnu Engineering College for Women,Department of ECE,Bhimavaram,India

3. Shri Vishnu Engineering College for Women,Department of EEE,Bhimavaram,India

4. BVRIT Hyderabad College of Engineering for Women,Department of ECE,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10275915.pdf?arnumber=10275915

Reference17 articles.

1. Multi-label and Multi-class Classification on a Custom Dataset using Convolution Neural Networks

2. Potato Plant Disease Detection Using Convolution Neural Network

3. Detection of Rice Plant Disease Using Deep Learning Techniques

4. Detection of Retinal Degeneration via High-Resolution Fundus Images using Deep Neural Networks

5. Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Corn Leaf Disease Classification Using DenseNet121 and Hybrid Machine Learning Models;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

2. Comparative Study of Deep Learning Techniques for Detecting Tomato Plant Leaf Diseases Using Transfer Learning;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Enhanced Skin Cancer Detection and Classification using Convolutional Neural Networks;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

4. Comparative Analysis of Deep Learning Architectures and Optimizers for Paddy Leaf Disease Classification;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

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