An Efficient Convolutional Neural Network for Paddy Leaf Disease and Pest Classification-Reference-Cited by-同舟云学术

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An Efficient Convolutional Neural Network for Paddy Leaf Disease and Pest Classification

Published:2020 Issue:7 Volume:11 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Senan Norhalina,Aamir Muhammad,Ibrahim Rosziati,S. N.,Wan W.H.N

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume11No7/Paper_16-An_Efficient_Convolutional_Neural_Network.pdf

Cited by 31 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. AI and Neural Network-Based Approach for Paddy Disease Identification and Classification;International Research Journal of Multidisciplinary Technovation;2024-04-24

2. A deep learning-based model for biotic rice leaf disease detection;Multimedia Tools and Applications;2024-03-15

3. Pesticide Recommender System for Detecting the Paddy Crop Diseases through SVM;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

4. A disease monitoring system using multi-class capsule network for agricultural enhancement in muskmelon;Multimedia Tools and Applications;2024-03-12

5. RETRACTED ARTICLE: Feature selection with Optimized XGBoost model-based paddy plant leaf disease classification;Multimedia Tools and Applications;2024-02-23

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