Plant Leaf Disease Classification Based on SVM Based Densenets-Reference-Cited by-同舟云学术

Plant Leaf Disease Classification Based on SVM Based Densenets

Published:2023-11-23 Issue: Volume: Page:
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Container-title:2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
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Author:

Sarkar Susmita¹,Adhikari Ray Jhimlee²,Mukherjee Chiradeep³,Ghosh Sudipta²,N Jayanthi.⁴,K R Chairma Lakshmi⁵

Affiliation:

1. MCKV Institute of Engineering,ECE Department,West Bengal,India

2. Calcutta Institute of Engineering and Management,ECE Department,West Bengal,India

3. University of Engineering and Management,CST & CSIT,Kolkata,West Bengal,India

4. Vels Institute of Science, Technology and Advanced Studies (VISTAS),School of Management Studies,Chennai,Tamil Nadu,India

5. R.M.K. Engineering College,Department of Electronics and Instrumentation Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465674/10465681/10465886.pdf?arnumber=10465886

Reference16 articles.

1. DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification

2. Machine Learning Based Massive Leaf Falling Detection For Managing The Waste Disposal Efficiently;Tasisa;Journal of Contemporary Issues in Businessand Government,2021

3. Sequential pattern mining on chemical bonding database in the bioinformatics field

4. An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm

5. Classification of Diabetes using Multilayer Perceptron

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