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An image selection method for tobacco leave grading based on image information

  • Published:2015-07 Issue:3 Volume:8 Page:148-154
  • ISSN:1881-8366
  • Container-title:Engineering in Agriculture, Environment and Food
  • language:en
  • Short-container-title:Engineering in Agriculture, Environment and Food

Author:

Yin Yong,Xiao Yujuan,Yu Huichun

Publisher

Asian Agricultural and Biological Engineering Association

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Food Science

Reference33 articles.

Cited by 8 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. Research on Color Evaluation Model of Tobacco Leaf Based on Machine Vision;2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2024-02-24

2. Deep Learning-Based Classification of Tobacco Leaf Alcoholization Levels Resistant to Lighting Interference;2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML);2023-11-03

3. Pyramid feature fusion through shifted window self-attention for tobacco leaf classification;Expert Systems with Applications;2023-11

4. Rapid Identification of Herbaceous Biomass Based on Raman Spectrum Analysis;3D Imaging—Multidimensional Signal Processing and Deep Learning;2023

5. A concise review on food quality assessment using digital image processing;Trends in Food Science & Technology;2021-12
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