Sensor-based Variability Assessment

Sensor-Based Variability Assessment is a methodological framework within precision viticulture that utilizes proximal and remote sensing technologies to systematically identify, quantify, and map spatial and temporal heterogeneity in vineyard conditions for targeted management decisions.

12

Publications

679

Citations

73

Authors

35

Institutions

Publications per year

2017–2026

7

Authors

73

  1. NE
    Nili E. Krausz

    Northwestern University, United States

    1 publications · 43 citations

    1

    h-index

  2. AK
    Aikaterini Kasimati

    Agricultural University of Athens, Greece

    1 publications · 32 citations

    1

    h-index

  3. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    1 publications · 43 citations

    1

    h-index

  4. MK
    Mandy Kasner

    Helmholtz Centre for Environmental Research, Germany

    1 publications · 112 citations

    1

    h-index

  5. SO
    Santo Orlando

    University of Palermo, Italy

    1 publications · 54 citations

    1

    h-index

1–5 of 73

Venues

  1. Plant and Soil

    1 publications · 43 citations

    1

    h-index

  2. Agronomy

    1 publications · 73 citations

    1

    h-index

  3. International Journal of Remote Sensing

    1 publications · 73 citations

    1

    h-index

  4. Remote Sensing

    1 publications · 71 citations

    1

    h-index

  5. Soil Research

    1 publications · 18 citations

    1

    h-index

1–5