Flower Symptom Recognition

Flower Symptom Recognition is a computational framework in the field of plant phenotyping that enables the automated identification and classification of physiological and pathological symptoms in flowers through image-based analysis.

22

Publications

1.7K

Citations

94

Authors

46

Institutions

Publications per year

2017–2026

18

Authors

94

  1. HS
    Huaibo Song

    Northwest A&F University, China

    2 publications · 591 citations

    2

    h-index

  2. PB
    Pierre Bonnet

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

    1 publications · 20 citations

    1

    h-index

  3. IG
    Igor Gordon

    University of Haifa, Israel

    1 publications · 56 citations

    1

    h-index

  4. XX
    Xingshi Xu

    Northwest A&F University, China

    1 publications · 97 citations

    1

    h-index

  5. IP
    Ilaria Pertot

    Fondazione Edmund Mach, Italy

    1 publications · 56 citations

    1

    h-index

1–5 of 94

Venues

  1. Computers and Electronics in Agriculture

    6 publications · 775 citations

    6

    h-index

  2. Soft Computing

    2 publications · 164 citations

    2

    h-index

  3. Scientia Horticulturae

    1 publications · 31 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 20 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 86 citations

    1

    h-index

1–5