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Identification of banana leaf disease based on KVA and GR-ARNet

Jinsheng Deng Weiqi Huang Guoxiong Zhou Yahui Hu Liujun Li Yanfeng Wang

Journal of Integrative Agriculture2024，Vol.23Issue(10)：P.3554-3575,22.

Journal of Integrative Agriculture2024，Vol.23Issue(10)：P.3554-3575,22.DOI:10.1016/j.jia.2023.11.037

Identification of banana leaf disease based on KVA and GR-ARNet

Jinsheng Deng ¹Weiqi Huang ¹Guoxiong Zhou ¹Yahui Hu ²Liujun Li ³Yanfeng Wang⁴

作者信息

1. College of Electronic Information and Physics,Central South University of Forestry and Technology,Changsha 410004,China
2. Plant Protection Research Institute,Hunan Academy of Agricultural Sciences,Changsha 410125,China
3. Department of Soil and Water Systems,College of Agricultural&Life Sciences,University of Idaho,Moscow 83844,USA
4. College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
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摘要

关键词

banana leaf diseases/image denoising/Ghost Module/Res Ne St Module/Convolutional Neural Networks/GR-ARNet

分类

植物保护学

引用本文复制引用

Jinsheng Deng,Weiqi Huang,Guoxiong Zhou,Yahui Hu,Liujun Li,Yanfeng Wang..Identification of banana leaf disease based on KVA and GR-ARNet[J].Journal of Integrative Agriculture,2024,23(10):P.3554-3575,22.

基金项目

supported by the Changsha Municipal Natural Science Foundation,China(kq2014160) （kq2014160）

in part by the Key Projects of Department of Education of Hunan Province,China(21A0179) （21A0179）

the Hunan Key Laboratory of Intelligent Logistics Technology,China(2019TP1015) （2019TP1015）

the National Natural Science Foundation of China(61902436)。（61902436）

Journal of Integrative Agriculture

OACSTPCD

ISSN：2095-3119

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