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

Author:

TANG Lei,YI Ji-zheng,LI Xiao-yao

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference62 articles.

1. Analysis of the Spatial Pattern of Strawberry Angular Leaf Spot in California Nursery Production;Gigot;Phytopathology®,2017

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3. Enhancement Of Segmentation and Feature Fusion for Apple Disease Classification;Sujatha,2018

4. Research on deep learning in apple leaf disease recognition;Zhong;Computers and Electronics in Agriculture,2020

5. Apple Leaf Disease Identification Using Genetic Algorithm and Correlation Based Feature Selection Method;Zhang;International Journal of Agricultural and Biological Engineering,2017

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Intelligent Deep-Learning Model CNN Used for Multi-Class Classification of Apple Leaf Disease;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

2. A Sophisticated Deep Convolutional Neural Network for Multiple Classification of Apple Leaf Diseases;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

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