Apple Leaf Disease Identification Through Region-of-Interest-Aware Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Apple Leaf Disease Identification Through Region-of-Interest-Aware Deep Convolutional Neural Network

Published:2020-03-01 Issue:2 Volume:64 Page:20507-20507
ISSN:1062-3701
Container-title:Journal of Imaging Science and Technology
language:
Short-container-title:jist

Author:

Yu Hee-Jin,Son Chang-Hwan,Lee Dong Hyuk

Publisher

Society for Imaging Science & Technology

Subject

Computer Science Applications,Atomic and Molecular Physics, and Optics,General Chemistry,Electronic, Optical and Magnetic Materials

Cited by 32 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. Advancing real-time plant disease detection: A lightweight deep learning approach and novel dataset for pigeon pea crop;Smart Agricultural Technology;2024-03

2. YOLOV5-CBAM-C3TR: an optimized model based on transformer module and attention mechanism for apple leaf disease detection;Frontiers in Plant Science;2024-01-15

3. Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

4. An Efficient Fine-Tuned Convolutional Neural Network Model for Apple Leaf Disease Classification;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

5. Apple foliar leaf disease detection through improved capsule neural network architecture;Multimedia Tools and Applications;2023-11-03

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