Seedling Image Analysis

Seedling Image Analysis is a computational method in plant phenotyping that distinguishes early-stage plant development through the automated extraction and interpretation of morphological and spectral features from digital images of seedlings.

194

Publications

8.7K

Citations

868

Authors

267

Institutions

Publications per year

2017–2026

97

Authors

868

  1. SM
    Sílvio Moure Cícero

    Universidade de São Paulo, Brazil

    6 publications · 140 citations

    6

    h-index

  2. EP
    Edgar P. Spalding

    University of Wisconsin–Madison, United States

    5 publications · 361 citations

    5

    h-index

  3. FG
    Francisco Guilhien Gomes

    Universidade de São Paulo, Brazil

    4 publications · 108 citations

    4

    h-index

  4. YJ
    Yu Jiang

    University of Georgia, United States

    3 publications · 287 citations

    3

    h-index

  5. RL
    Ruoshi Li

    Fudan University, China

    3 publications · 70 citations

    3

    h-index

1–5 of 868

Venues

  1. Computers and Electronics in Agriculture

    25 publications · 1.3K citations

    21

    h-index

  2. Plant Methods

    12 publications · 663 citations

    12

    h-index

  3. Biosystems Engineering

    7 publications · 513 citations

    7

    h-index

  4. Frontiers in Plant Science

    7 publications · 280 citations

    7

    h-index

  5. Transactions of the ASAE

    7 publications · 178 citations

    7

    h-index

1–5