Comparative Analysis of Maize Leaf Disease Detection using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Comparative Analysis of Maize Leaf Disease Detection using Convolutional Neural Networks

Published:2023-12-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
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Author:

K Kamalam G¹,Rajasekar Vani²,Krishnasamy Lalitha³,M Fathima Kadhoon¹

Affiliation:

1. Kongu Engineering College,Department of Information Technology,Tamil Nadu,India

2. Kongu Engineering College,Department of Computer Science and Engineering,Tamil Nadu,India

3. School of Engineering and Technology, Christ University,Department of CSE,Begaluru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455093/10455752/10455997.pdf?arnumber=10455997

Reference15 articles.

1. One-Stage Disease Detection Method for Maize Leaf Based on Multi-Scale Feature Fusion

2. High-Accuracy Detection of Maize Leaf Diseases CNN Based on Multi-Pathway Activation Function Module

3. Lightweight dense-scale network (LDSNet) for corn leaf disease identification

4. Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning

5. End-to-End Deep Learning Model for Corn Leaf Disease Classification

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