Grape Yield Estimation

Grape Yield Estimation is a remote sensing-based agricultural modeling method that quantifies the anticipated mass or volume of harvestable grape production per unit area by integrating multispectral imagery, vineyard biophysical parameters, and empirical or machine learning algorithms.

146

Publications

7K

Citations

544

Authors

194

Institutions

Publications per year

2017–2026

78

Authors

544

  1. JT
    Javier Tardáguila

    Universidad de La Rioja, Spain

    10 publications · 536 citations

    10

    h-index

  2. MP
    María P. Diago

    Universidad de La Rioja, Spain

    8 publications · 479 citations

    8

    h-index

  3. BM
    Borja Millán

    Universidad de La Rioja, Spain

    6 publications · 371 citations

    6

    h-index

  4. MW
    Mark Whitty

    UNSW Sydney, Australia

    6 publications · 212 citations

    6

    h-index

  5. SL
    Scarlett Liu

    UNSW Sydney, Australia

    6 publications · 212 citations

    6

    h-index

1–5 of 544

Venues

  1. Sensors

    10 publications · 500 citations

    10

    h-index

  2. Agronomy

    11 publications · 569 citations

    10

    h-index

  3. Computers and Electronics in Agriculture

    8 publications · 454 citations

    8

    h-index

  4. American Journal of Enology and Viticulture

    AJEV · 8 publications · 293 citations

    8

    h-index

  5. OENO One

    6 publications · 206 citations

    6

    h-index

1–5