Image-based Egg Classification

Image-Based Egg Classification is a computational method within the domain of agricultural quality assessment that utilizes digital image analysis to automatically categorize eggs according to standardized grading criteria based on external shell characteristics.

52

Publications

1.5K

Citations

199

Authors

74

Institutions

Publications per year

2017–2026

34

Authors

199

  1. NA
    Nantheera Anantrasirichai

    University of Bristol, United Kingdom

    3 publications · 66 citations

    3

    h-index

  2. DP
    Duangdao Palasuwan

    Chulalongkorn University, Thailand

    3 publications · 66 citations

    3

    h-index

  3. TH
    Thanarat H. Chalidabhongse

    Chulalongkorn University, Thailand

    3 publications · 66 citations

    3

    h-index

  4. SS
    Shoffan Saifullah

    Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia

    2 publications · 41 citations

    2

    h-index

  5. RW
    Rattapoom Waranusast

    Naresuan University, Thailand

    2 publications · 61 citations

    2

    h-index

1–5 of 199

Venues

  1. Scientific Reports

    2 publications · 40 citations

    2

    h-index

  2. Expert Systems with Applications

    2 publications · 103 citations

    2

    h-index

  3. Transactions of the ASAE

    2 publications · 107 citations

    2

    h-index

  4. 2

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5