Image-based Grading

Image-Based Grading is a computational assessment method that distinguishes itself by utilizing visual data from digital imagery to objectively classify the quality or ripeness of harvested agricultural products according to predefined morphological, colorimetric, or textural criteria.

404

Publications

16.8K

Citations

1.5K

Authors

488

Institutions

Publications per year

2017–2026

153

Authors

1.5K

  1. NK
    Naoshi Kondo

    Kyoto University, Japan

    9 publications · 293 citations

    9

    h-index

  2. SN
    Sapan Naik

    Uka Tarsadia University, India

    5 publications · 138 citations

    5

    h-index

  3. MZ
    Mohd Zaid Abdullah

    Universiti Sains Malaysia, Malaysia

    4 publications · 183 citations

    4

    h-index

  4. MS
    Meftah Salem M. Alfatni

    Universiti Putra Malaysia, Malaysia

    4 publications · 157 citations

    4

    h-index

  5. MO
    Mahmoud Omid

    University of Tehran, Iran

    4 publications · 176 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Computers and Electronics in Agriculture

    20 publications · 1.9K citations

    18

    h-index

  2. Transactions of the ASAE

    14 publications · 982 citations

    13

    h-index

  3. Textile Research Journal

    10 publications · 238 citations

    10

    h-index

  4. International Journal of Computer Applications

    9 publications · 525 citations

    9

    h-index

  5. 5

    h-index

1–5