Yield Data Visualization

Yield Data Visualization is a specialized branch of data visualization that focuses on designing and employing graphical representations of georeferenced crop yield measurements and related agronomic variables to reveal spatial–temporal variability in yield and to support analysis, interpretation, and decision-making in yield monitoring and precision agriculture.

30

Publications

4.6K

Citations

107

Authors

44

Institutions

Publications per year

2017–2026

10

Authors

107

  1. WY
    Weikai Yan

    Agriculture and Agri-Food Canada, Canada

    2 publications · 2K citations

    2

    h-index

  2. IA
    Ignacio A. Ciampitti

    Kansas State University, United States

    2 publications · 74 citations

    2

    h-index

  3. PD
    Paul D. Shaw

    James Hutton Institute, United Kingdom

    1 publications · 81 citations

    1

    h-index

  4. PG
    Patricio Grassini

    University of Nebraska–Lincoln, United States

    1 publications · 54 citations

    1

    h-index

  5. VM
    Vračko Marjan

    National Institute of Chemistry, Slovenia

    1 publications · 26 citations

    1

    h-index

1–5 of 107

Venues

  1. Crop Science

    3 publications · 2.7K citations

    3

    h-index

  2. Agronomy Journal

    3 publications · 217 citations

    3

    h-index

  3. Journal of oilseed Brassica

    1 publications · 21 citations

    1

    h-index

  4. Energies

    1 publications · 18 citations

    1

    h-index

  5. Journal of Cleaner Production

    1 publications · 30 citations

    1

    h-index

1–5