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Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution

文献类型：期刊论文

作者Li, Zheng3; Tao, Weijie3; Liu, Jianlei2; Zhu, Fenghua1; Du, Guangyue3; Ji, Guanggang3
刊名HORTICULTURAE
出版日期2023-09-01
卷号9期号:9页码:15
关键词plant leaf disease image recognition attention mechanism smart agriculture
DOI10.3390/horticulturae9091034
通讯作者Liu, Jianlei(llliu2023@163.com)
英文摘要In image classification of tomato leaf diseases based on deep learning, models often focus on features such as edges, stems, backgrounds, and shadows of the experimental samples, while ignoring the features of the disease area, resulting in weak generalization ability. In this study, a self-attention mechanism called GD-Attention is proposed, which considers global pixel value distribution information and guide the deep learning model to give more concern on the leaf disease area. Based on data augmentation, the proposed method inputs both the image and its pixel value distribution information to the model. The GD-Attention mechanism guides the model to extract features related to pixel value distribution information, thereby increasing attention towards the disease area. The model is trained and tested on the Plant Village (PV) dataset, and by analyzing the generated attention heatmaps, it is observed that the disease area obtains greater weight. The results achieve an accuracy of 99.97% and 27 MB parameters only. Compared to classical and state-of-the-art models, our model showcases competitive performance. As a next step, we are committed to further research and application, aiming to address real-world, complex scenarios.
WOS关键词SEGMENTATION ; SUPERPIXEL
WOS研究方向Agriculture
语种英语
出版者MDPI
WOS记录号WOS:001078991900001
源URL[http://ir.ia.ac.cn/handle/173211/53071]  
专题多模态人工智能系统全国重点实验室
通讯作者Liu, Jianlei
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100049, Peoples R China
2.Qufu Normal Univ, Dept Cyberspace Secur, Qufu 273165, Peoples R China
3.Shandong Jiaotong Univ, Sch Rail Transportat, Jinan 250357, Peoples R China
推荐引用方式
GB/T 7714		 Li, Zheng,Tao, Weijie,Liu, Jianlei,et al. Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution[J]. HORTICULTURAE,2023,9(9):15.
APA Li, Zheng,Tao, Weijie,Liu, Jianlei,Zhu, Fenghua,Du, Guangyue,&Ji, Guanggang.(2023).Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution.HORTICULTURAE,9(9),15.
MLA Li, Zheng,et al."Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution".HORTICULTURAE 9.9(2023):15.

入库方式： OAI收割

来源：自动化研究所

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