Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases-Reference-Cited by-同舟云学术

Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Li Jinjiang¹,Zhu Xianyu¹,Jia Runchang¹,Liu Bin¹,Yu Cong¹

Affiliation:

1. College of Information Engineering, Northwest A&F University,Yangling,China

Funder

Shaanxi's Key Research and Development Program

Northwest A&F University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842599.pdf?arnumber=9842599

Reference34 articles.

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2. A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks

3. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision,2018

4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN

5. Shuffienet: An extremely efficient convolutional neural network for mobile devices;zhang;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

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