Deep Learning-Based Automated System for Multi-Classification of Plant Diseases in Real-Time Environments-Reference-Cited by-同舟云学术

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Deep Learning-Based Automated System for Multi-Classification of Plant Diseases in Real-Time Environments

Published:2024-04-17 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)
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Author:

Aruna K.B¹,Prema S²,Sureka V¹,Sudha L¹,Sasikala V³

Affiliation:

1. S.A. Engineering College,Computer Science and Engineering Department,Chennai

2. Institute of Science and Technology,Vel Tech Rangarajan Dr.Sagunthala R&D,Computer Science and Engineering Department,Chennai

3. Sri Sairam Engineering College,Department of Electronic and Communication Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550185/10550194/10550310.pdf?arnumber=10550310

Reference20 articles.

1. A Novel method to implement MPPT Algorithms for PV panels on a MATLAB/SIMULINK environment;Thomas;Journal of Advanced Research in Dynamical and Control Systems,2018

2. Wireless Integrated-Sensor Network based Subsea Tunnel Monitoring System;Gowrishankar;Journal of Advanced Research in Dynamical and Control Systems,2018

3. GSM based dual power enhanced LED display notice board with motion detector

4. Application of Cluster Analysis and Association Analysis Model Based Power System Fault Identification;Bin Siraj;European Journal of Scientific Research,2016

5. Enhanced R package-based cluster analysis fault identification models for three phase power system network

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