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In order to assess the quality of preharvest cottons objectively, ranking classifiers were designed based on machine vision technologies to grade preharvest cottons on dark background based on their sizes and colors. Experiments showed that the classifiers can classify preharvest cottons into seven grade categories with an accuracy of nearly 91.5%.

Keywords

Preharvest Cottons Grade Machine vision Classifier 

References

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Ling Wang
    • 1
  • Changying Ji
    • 1
  1. 1.Nanjing Agricultural UniversityChina

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