Image-based Herbarium Analysis

Image-Based Herbarium Analysis is a methodological framework within herbarium studies that utilizes digitized images of preserved plant specimens as primary data sources to enable automated taxonomic identification, morphological measurement, and ecological inference through computational image analysis techniques.

31

Publications

2K

Citations

119

Authors

69

Institutions

Publications per year

2017–2026

23

Authors

119

  1. WM
    Walid Mahdi

    University of Sfax, Tunisia

    3 publications · 87 citations

    3

    h-index

  2. BB
    Bassem Bouaziz

    University of Sfax, Tunisia

    3 publications · 87 citations

    3

    h-index

  3. AT
    Abdelaziz Triki

    University of Sfax, Tunisia

    3 publications · 87 citations

    3

    h-index

  4. AT
    Atsuko Takano

    Museum of Nature and Human Activities Hyogo, Japan

    2 publications · 53 citations

    2

    h-index

  5. HG
    Hervé Goëau

    UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, France

    2 publications · 151 citations

    2

    h-index

1–5 of 119

Venues

  1. Applications in Plant Sciences

    APPS · 7 publications · 278 citations

    7

    h-index

  2. Taxon

    3 publications · 127 citations

    3

    h-index

  3. Biodiversity Data Journal

    BDJ · 3 publications · 116 citations

    3

    h-index

  4. Ecological Informatics

    3 publications · 90 citations

    3

    h-index

  5. Mycologia

    2 publications · 79 citations

    2

    h-index

1–5