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Improved multi-scale inverse bottleneck residual network based on triplet parallel attention for apple leaf disease identification

Lei Tang Jizheng Yi Xiaoyao Li

农业科学学报（英文）2024，Vol.23Issue(3)：901-922,22.

农业科学学报（英文）2024，Vol.23Issue(3)：901-922,22.DOI:10.1016/j.jia.2023.06.023

Improved multi-scale inverse bottleneck residual network based on triplet parallel attention for apple leaf disease identification

Lei Tang ¹Jizheng Yi ²Xiaoyao Li¹

作者信息

1. College of Computer&Information Engineering,Central South University of Forestry and Technology,Changsha 410004,China
2. College of Computer&Information Engineering,Central South University of Forestry and Technology,Changsha 410004,China||Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center,Changsha 410000,China
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摘要

关键词

multi-scale module inverse bottleneck structure/triplet parallel attention/apple leaf disease

Key words

multi-scale module inverse bottleneck structure/triplet parallel attention/apple leaf disease

引用本文复制引用

Lei Tang,Jizheng Yi,Xiaoyao Li..Improved multi-scale inverse bottleneck residual network based on triplet parallel attention for apple leaf disease identification[J].农业科学学报（英文）,2024,23(3):901-922,22.

基金项目

This work was supported in part by the General Program Hunan Provincial Natural Science Foundation of 2022,China(2022JJ31022),the Undergraduate Education Reform Project of Hunan Province,China(HNJG-2021-0532),and the National Natural Science Foundation of China(62276276). （2022JJ31022）

农业科学学报（英文）

OACSTPCD

ISSN：2095-3119

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