Machine Vision-based Sorting

Machine Vision-Based Sorting is a machine vision-driven industrial inspection method that automatically classifies and segregates objects on production lines based on visual features such as shape, color, texture, and structural defects captured through digital imaging and analyzed via algorithmic processing.

147

Publications

5.9K

Citations

474

Authors

158

Institutions

Publications per year

2017–2026

60

Authors

474

  1. JB
    J. Blasco

    Instituto Valenciano de Investigaciones Agrarias, Spain

    5 publications · 622 citations

    5

    h-index

  2. EM
    Enrique Moltó

    Instituto Valenciano de Investigaciones Agrarias, Spain

    5 publications · 622 citations

    5

    h-index

  3. MO
    Mahmoud Omid

    University of Tehran, Iran

    5 publications · 159 citations

    5

    h-index

  4. MJ
    Michael J. Delwiche

    University of California, Davis, United States

    3 publications · 69 citations

    3

    h-index

  5. NT
    Nguyen Truong Thinh

    Ho Chi Minh City University of Technology and Engineering, Vietnam

    3 publications · 52 citations

    3

    h-index

1–5 of 474

Venues

  1. Transactions of the ASAE

    8 publications · 405 citations

    8

    h-index

  2. Sensors

    7 publications · 174 citations

    7

    h-index

  3. Computers and Electronics in Agriculture

    6 publications · 601 citations

    6

    h-index

  4. Journal of Food Engineering

    5 publications · 609 citations

    4

    h-index

  5. 3

    h-index

1–5