Research on recognition for cotton spider mites’ damage level based on deep learning-Reference-Cited by-同舟云学术

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Research on recognition for cotton spider mites’ damage level based on deep learning

Published:2019 Issue:6 Volume:12 Page:129-134
ISSN:1934-6344
Container-title:International Journal of Agricultural and Biological Engineering
language:en
Short-container-title:

Author:

Yang Lili, ,Luo Jun,Wang Zhenpeng,Chen Yan,Wu Caicong,

Publisher

International Journal of Agricultural and Biological Engineering (IJABE)

Subject

General Engineering,General Agricultural and Biological Sciences

Link

https://ijabe.org/index.php/ijabe/article/view/4816/pdf

Cited by 5 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. Automatic cotton spider mites' damage grading algorithm for depth residual network based on transfer learning;Computers and Electronics in Agriculture;2023-09

2. Plant image recognition with deep learning: A review;Computers and Electronics in Agriculture;2023-09

3. Automatic Method for Red Spider Detection in Images;2022 2nd International Conference on Computation, Communication and Engineering (ICCCE);2022-11-04

4. A Practical Exploration of Constructive English Learning Platform Informatization Based on RBF Algorithm;Mathematical Problems in Engineering;2021-11-18

5. Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions;Computers and Electronics in Agriculture;2021-03

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