Berry Size Estimation

Berry Size Estimation is a remote sensing methodology that quantifies the physical dimensions of grape berries by analyzing multispectral or hyperspectral imagery combined with machine learning models to differentiate berry size classes in viticultural monitoring.

35

Publications

1.4K

Citations

116

Authors

48

Institutions

Publications per year

2017–2026

15

Authors

116

  1. KH
    Katja Herzog

    Julius Kühn-Institut, Germany

    4 publications · 206 citations

    4

    h-index

  2. JT
    Javier Tardáguila

    Universidad de La Rioja, Spain

    4 publications · 223 citations

    4

    h-index

  3. RT
    Reinhard Töpfer

    Julius Kühn-Institut, Germany

    4 publications · 206 citations

    4

    h-index

  4. SL
    Scarlett Liu

    UNSW Sydney, Australia

    3 publications · 105 citations

    3

    h-index

  5. MW
    Mark Whitty

    UNSW Sydney, Australia

    3 publications · 105 citations

    3

    h-index

1–5 of 116

Venues

  1. Computers and Electronics in Agriculture

    5 publications · 276 citations

    5

    h-index

  2. American Journal of Enology and Viticulture

    AJEV · 3 publications · 89 citations

    3

    h-index

  3. Biosystems Engineering

    2 publications · 104 citations

    2

    h-index

  4. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Remote Sensing

    1 publications · 25 citations

    1

    h-index

1–5