Identification of apple leaf disease via novel attention mechanism based convolutional neural network
IntroductionThe identification of apple leaf diseases is crucial for apple production.MethodsTo assist farmers in promptly recognizing leaf diseases in apple trees, we propose a novel attention mechanism. Building upon this mechanism and MobileNet v3, we introduce a new deep learning network.Results...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1274231/full |
| _version_ | 1797657407563759616 |
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| author | Hebin Cheng Heming Li |
| author_facet | Hebin Cheng Heming Li |
| author_sort | Hebin Cheng |
| collection | DOAJ |
| description | IntroductionThe identification of apple leaf diseases is crucial for apple production.MethodsTo assist farmers in promptly recognizing leaf diseases in apple trees, we propose a novel attention mechanism. Building upon this mechanism and MobileNet v3, we introduce a new deep learning network.Results and discussionApplying this network to our carefully curated dataset, we achieved an impressive accuracy of 98.7% in identifying apple leaf diseases, surpassing similar models such as EfficientNet-B0, ResNet-34, and DenseNet-121. Furthermore, the precision, recall, and f1-score of our model also outperform these models, while maintaining the advantages of fewer parameters and less computational consumption of the MobileNet network. Therefore, our model has the potential in other similar application scenarios and has broad prospects. |
| first_indexed | 2024-03-11T17:44:03Z |
| format | Article |
| id | doaj.art-a68e389986f44b3e88ae1cce44827910 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-03-11T17:44:03Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-a68e389986f44b3e88ae1cce448279102023-10-18T08:38:08ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-10-011410.3389/fpls.2023.12742311274231Identification of apple leaf disease via novel attention mechanism based convolutional neural networkHebin ChengHeming LiIntroductionThe identification of apple leaf diseases is crucial for apple production.MethodsTo assist farmers in promptly recognizing leaf diseases in apple trees, we propose a novel attention mechanism. Building upon this mechanism and MobileNet v3, we introduce a new deep learning network.Results and discussionApplying this network to our carefully curated dataset, we achieved an impressive accuracy of 98.7% in identifying apple leaf diseases, surpassing similar models such as EfficientNet-B0, ResNet-34, and DenseNet-121. Furthermore, the precision, recall, and f1-score of our model also outperform these models, while maintaining the advantages of fewer parameters and less computational consumption of the MobileNet network. Therefore, our model has the potential in other similar application scenarios and has broad prospects.https://www.frontiersin.org/articles/10.3389/fpls.2023.1274231/fullapple leaf diseaseclassificationdeep learningattention mechanismmulti-scale feature extraction |
| spellingShingle | Hebin Cheng Heming Li Identification of apple leaf disease via novel attention mechanism based convolutional neural network Frontiers in Plant Science apple leaf disease classification deep learning attention mechanism multi-scale feature extraction |
| title | Identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| title_full | Identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| title_fullStr | Identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| title_full_unstemmed | Identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| title_short | Identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| title_sort | identification of apple leaf disease via novel attention mechanism based convolutional neural network |
| topic | apple leaf disease classification deep learning attention mechanism multi-scale feature extraction |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1274231/full |
| work_keys_str_mv | AT hebincheng identificationofappleleafdiseasevianovelattentionmechanismbasedconvolutionalneuralnetwork AT hemingli identificationofappleleafdiseasevianovelattentionmechanismbasedconvolutionalneuralnetwork |