A Comprehensive Review on Plant Disease Diagnosis and Controlling using Convolutional Neural Networks-Reference-Cited by-同舟云学术

A Comprehensive Review on Plant Disease Diagnosis and Controlling using Convolutional Neural Networks

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference for Emerging Technology (INCET)
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Author:

Udayananda GKVL¹,Kumara PPNV¹

Affiliation:

1. General Sir John Kotelawala Defence University,Deprtment of Computer Science,Ratmalana,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823393/9823966/09824148.pdf?arnumber=9824148

Reference18 articles.

1. Detection of Paddy Crops Diseases and Early Diagnosis Using Faster Regional Convolutional Neural Networks

2. Performance analysis of deep learning CNN modelsfor disease detection in plants using imagesegmentation;sharma,2021

3. Plant Disease Detection and Classification by Deep Learning;saleem;Plant,2019

4. Plant Disease Detection through the Implementation of Diversified and Modified Neural Network Algorithms;nihar;Journal of Advanced Engineering,2021

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

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1. Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning;EAI Endorsed Transactions on Pervasive Health and Technology;2023-11-27

2. A Comprehensive Review: Advancements in Pretrained and Deep Learning Methods in the Disease Detection of Rice Plants;September 2023;2023-09

3. An Ensemble Methods based Machine Learning Approach for Rice Plant disease diagnosing;2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer);2022-11-30