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Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy

  • Published:2019-09 Issue: Volume:164 Page:104882
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Zhang Jing,Li Mingliang,Pan Tao,Yao Lijun,Chen Jiemei

Funder

Science and Technology Project of Guangdong Province of China

University-enterprise Joint Research Project

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Cited by 27 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. Discrimination of internal crack for rice seeds using near infrared spectroscopy;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-10

2. Vis-NIR spectroscopic discriminant analysis of aflatoxin B1 excessive standard in peanut meal as feedstuff materials;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-09

3. A novel method for identifying rice seed purity using hybrid machine learning algorithms;Heliyon;2024-07

4. Integrating NIR Hyperspectral Techniques with Neural Network for Barley Seeds Classification;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

5. Changeable moving window-standard normal variable transformation for visible-NIR spectroscopic analyses;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-03
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