Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification
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 tim...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/11/8/707 |
| _version_ | 1797525031035600896 |
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| author | Jinzhu Lu Lijuan Tan Huanyu Jiang |
| author_facet | Jinzhu Lu Lijuan Tan Huanyu Jiang |
| author_sort | Jinzhu Lu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T09:06:03Z |
| format | Article |
| id | doaj.art-2b75d1787b4a4d579908dc78cf8f9902 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T09:06:03Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-2b75d1787b4a4d579908dc78cf8f99022023-11-22T06:22:30ZengMDPI AGAgriculture2077-04722021-07-0111870710.3390/agriculture11080707Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease ClassificationJinzhu Lu0Lijuan Tan1Huanyu Jiang2Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, ChinaModern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCrop 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.https://www.mdpi.com/2077-0472/11/8/707plant disease classificationdeep learningmachine learningconvolutional neural network |
| spellingShingle | Jinzhu Lu Lijuan Tan Huanyu Jiang Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification Agriculture plant disease classification deep learning machine learning convolutional neural network |
| title | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification |
| title_full | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification |
| title_fullStr | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification |
| title_full_unstemmed | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification |
| title_short | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification |
| title_sort | review on convolutional neural network cnn applied to plant leaf disease classification |
| topic | plant disease classification deep learning machine learning convolutional neural network |
| url | https://www.mdpi.com/2077-0472/11/8/707 |
| work_keys_str_mv | AT jinzhulu reviewonconvolutionalneuralnetworkcnnappliedtoplantleafdiseaseclassification AT lijuantan reviewonconvolutionalneuralnetworkcnnappliedtoplantleafdiseaseclassification AT huanyujiang reviewonconvolutionalneuralnetworkcnnappliedtoplantleafdiseaseclassification |