Development of Mobile Application for Plant Disease Recognition using Convolutional Neural Network Method-Reference-Cited by-同舟云学术

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Development of Mobile Application for Plant Disease Recognition using Convolutional Neural Network Method

Published:2021-12-01 Issue: Volume: Page:
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Container-title:2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Diah Norizan Mat¹,Jahim Mohd Lajim Mohd¹,Roslan Noor Aini Mohd¹,Ibrahim Zaidah¹,Abdullah Azizi²

Affiliation:

1. Universiti Teknologi MARA (UiTM),Faculty of Computer and Mathematical Sciences,Shah Alam,Selangor,Malaysia,40450

2. Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Department of Information Science,Selangor,Malaysia,43600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9703449/9703692/09704033.pdf?arnumber=9704033

Reference16 articles.

1. Convolutional neural networks: an overview and application in radiology

2. A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks

3. Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks

4. Deep learning models for plant disease detection and diagnosis

5. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

Cited by 2 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. Tomato Fruit Ripening Classification Using Wavelet-Based Feature Extraction and Multilayer Perceptron;2023 IEEE International Conference on Agrosystem Engineering, Technology & Applications (AGRETA);2023-09-09

2. PyTorch Implementation and Assessment of Pre-Trained Convolutional Neural Networks for Tomato Leaf Disease Classification;2022 IEEE Region 10 Symposium (TENSYMP);2022-07-01

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