Seed Pattern Recognition

Seed Pattern Recognition is a computational method in seed identification that enables the systematic differentiation and classification of seed species based on distinctive morphological and textural features extracted from digital imagery.

86

Publications

3.7K

Citations

315

Authors

115

Institutions

Publications per year

2017–2026

51

Authors

315

  1. YC
    Younes Chtioui

    Institut National de la Recherche Agronomique, Morocco

    4 publications · 202 citations

    4

    h-index

  2. DB
    Dominique Barba

    Nantes Université, France

    3 publications · 160 citations

    3

    h-index

  3. AL
    Andrea Loddo

    University of Cagliari, Italy

    3 publications · 195 citations

    3

    h-index

  4. DB
    Dominique Bertrand

    École Nationale d'Ingénieurs des Techniques des Industries Agro-Alimentaires, France

    3 publications · 164 citations

    3

    h-index

  5. LJ
    Laércio Junio da Silva

    Universidade Federal de Viçosa, Brazil

    3 publications · 235 citations

    3

    h-index

1–5 of 315

Venues

  1. Computers and Electronics in Agriculture

    11 publications · 882 citations

    11

    h-index

  2. Journal of Stored Products Research

    4 publications · 283 citations

    4

    h-index

  3. 3

    h-index

  4. 3

    h-index

  5. Biosystems Engineering

    3 publications · 120 citations

    3

    h-index

1–5