Imaging-based Seed Identification

Imaging-Based Seed Identification is a methodological framework within seed identification that utilizes digital imaging technologies and computational analysis to characterize and classify seeds based on morphological and textural features extracted from visual data.

113

Publications

4.1K

Citations

449

Authors

160

Institutions

Publications per year

2017–2026

70

Authors

449

  1. YH
    Yong He

    Zhejiang University, China

    6 publications · 376 citations

    6

    h-index

  2. LZ
    Liu Zhang

    China Agricultural University, China

    5 publications · 223 citations

    5

    h-index

  3. ZR
    Zhenhong Rao

    China Agricultural University, China

    3 publications · 172 citations

    3

    h-index

  4. LY
    Lingjie Yang

    Lanzhou University, China

    3 publications · 80 citations

    3

    h-index

  5. JL
    Jincun Liu

    China Agricultural University, China

    3 publications · 79 citations

    3

    h-index

1–5 of 449

Venues

  1. Computers and Electronics in Agriculture

    8 publications · 510 citations

    9

    h-index

  2. Infrared Physics & Technology

    6 publications · 272 citations

    6

    h-index

  3. Seed Science and Technology

    5 publications · 182 citations

    5

    h-index

  4. 4

    h-index

  5. Sensors

    4 publications · 72 citations

    4

    h-index

1–5