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Review

Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification

by 1,2,*, 1,2 and 3
1
Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China
2
School of Mechanical Engineering, Xihua University, Chengdu 610039, China
3
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Academic Editors: Grazia Licciardello and Giuliana Loconsole
Agriculture 2021, 11(8), 707; https://doi.org/10.3390/agriculture11080707
Received: 27 May 2021 / Revised: 22 July 2021 / Accepted: 23 July 2021 / Published: 27 July 2021
Crop production can be greatly reduced due to various diseases, which seriously endangers food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional classification methods, such as naked-eye observation and laboratory tests, have many limitations, such as being time consuming and subjective. Currently, deep learning (DL) methods, especially those based on convolutional neural network (CNN), have gained widespread application in plant disease classification. They have solved or partially solved the problems of traditional classification methods and represent state-of-the-art technology in this field. In this work, we reviewed the latest CNN networks pertinent to plant leaf disease classification. We summarized DL principles involved in plant disease classification. Additionally, we summarized the main problems and corresponding solutions of CNN used for plant disease classification. Furthermore, we discussed the future development direction in plant disease classification. View Full-Text
Keywords: plant disease classification; deep learning; machine learning; convolutional neural network plant disease classification; deep learning; machine learning; convolutional neural network
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MDPI and ACS Style

Lu, J.; Tan, L.; Jiang, H. Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification. Agriculture 2021, 11, 707. https://doi.org/10.3390/agriculture11080707

AMA Style

Lu J, Tan L, Jiang H. Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification. Agriculture. 2021; 11(8):707. https://doi.org/10.3390/agriculture11080707

Chicago/Turabian Style

Lu, Jinzhu, Lijuan Tan, and Huanyu Jiang. 2021. "Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification" Agriculture 11, no. 8: 707. https://doi.org/10.3390/agriculture11080707

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