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Research on External Quality Inspection Technology of Tropical Fruits Based on Computer Vision

  • Kun Zhang
  • Xiaoyan Chen
  • Haifeng Wang
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

With the computer vision technology in the image processing has been widely used, which for the automatic classification of fruit provides a research space. This paper mainly uses the method of computer vision, combined with the problem of grade quality detection of agricultural products in agricultural research hotspots. Taking tropical fruit of Hainan as the research object, taking mango as the experimental object, extracting the characteristics of fruit image, explore the differences in the external size and color of different types of fruits, and establish a visual quality inspection technology for tropical fruits based on computer vision.

Keywords

Computer vision Image processing Detection technology Analysis of algorithms 

Notes

Acknowledgments

This work is partially supported by the Agricultural Science and Technology Innovation Project of Sanya (No. 2015KJ15; No. 2015KJ16; 2016NK17); the Key Laboratory of Sanya Project (No. L1410).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Kun Zhang
    • 1
    • 2
    • 3
    • 4
  • Xiaoyan Chen
    • 1
    • 4
  • Haifeng Wang
    • 1
    • 2
    • 4
  1. 1.College of Ocean Information Engineering, Hainan Tropical Ocean UniversitySanyaChina
  2. 2.State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan UniversityHaikouChina
  3. 3.College of Information Science and Technology, Hainan UniversityHaikouChina
  4. 4.Sanya Key Laboratory of Computer Vision, Hainan Tropical Ocean UniversitySanyaChina

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