A Plant Disease Classification Algorithm Based on Attention MobileNet V2 | |
Wang, Huan1; Qiu, Shi1; Ye, Huping2,3; Liao, Xiaohan2,3,4 | |
作者部门 | 光谱成像技术研究室 |
2023-09 | |
发表期刊 | Algorithms |
ISSN | 19994893 |
卷号 | 16期号:9 |
产权排序 | 1 |
摘要 | Plant growth is inevitably affected by diseases, and one effective method of disease detection is through the observation of leaf changes. To solve the problem of disease detection in complex backgrounds, where the distinction between plant diseases is hindered by large intra-class differences and small inter-class differences, a complete plant-disease recognition process is proposed. The process was tested through experiments and research into traditional and deep features. In the face of difficulties related to plant-disease classification in complex backgrounds, the advantages of strong interpretability of traditional features and great robustness of deep features are fully utilized, and include the following components: (1) The OSTU algorithm based on the naive Bayes model is proposed to focus on where leaves are located and remove interference from complex backgrounds. (2) A multi-dimensional feature model is introduced in an interpretable manner from the perspective of traditional features to obtain leaf characteristics. (3) A MobileNet V2 network with a dual attention mechanism is proposed to establish a model that operates in both spatial and channel dimensions at the network level to facilitate plant-disease recognition. In the Plant Village open database test, the results demonstrated an average SEN of 94%, greater than other algorithms by 12.6%. © 2023 by the authors. |
关键词 | plant disease classification MobileNet V2 attention |
DOI | 10.3390/a16090442 |
收录类别 | EI |
语种 | 英语 |
出版者 | Multidisciplinary Digital Publishing Institute (MDPI) |
EI入藏号 | 20233914807115 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/96805 |
专题 | 光谱成像技术研究室 |
通讯作者 | Qiu, Shi |
作者单位 | 1.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, China; 2.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China; 3.Key Laboratory of Low Altitude Geographic Information and Air Route, Civil Aviation Administration of China, Beijing; 100101, China; 4.The Research Center for UAV Applications and Regulation, Chinese Academy of Sciences, Beijing; 100101, China |
推荐引用方式 GB/T 7714 | Wang, Huan,Qiu, Shi,Ye, Huping,et al. A Plant Disease Classification Algorithm Based on Attention MobileNet V2[J]. Algorithms,2023,16(9). |
APA | Wang, Huan,Qiu, Shi,Ye, Huping,&Liao, Xiaohan.(2023).A Plant Disease Classification Algorithm Based on Attention MobileNet V2.Algorithms,16(9). |
MLA | Wang, Huan,et al."A Plant Disease Classification Algorithm Based on Attention MobileNet V2".Algorithms 16.9(2023). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Plant Disease Clas(14760KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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