Yield Data Aggregation

Yield Data Aggregation is a methodological process within yield data integration that systematically combines raw or processed yield measurements from heterogeneous sources into unified summaries or structures to enable comprehensive analysis and interpretation.

10

Publications

209

Citations

58

Authors

31

Institutions

Publications per year

2017–2026

4

Authors

58

  1. RF
    Robert Finger

    ETH Zurich, Switzerland

    3 publications · 63 citations

    3

    h-index

  2. FE
    Frank Ewert

    University of Bonn, Germany

    2 publications · 41 citations

    2

    h-index

  3. HW
    Heidi Webber

    University of Bonn, Germany

    2 publications · 41 citations

    2

    h-index

  4. HM
    Holger Meinke

    University of Tasmania, Australia

    1 publications · 19 citations

    1

    h-index

  5. CY
    Chaolong Yang

    Chongqing University of Technology, China

    1 publications · 14 citations

    1

    h-index

1–5 of 58

Venues

  1. Agricultural Finance Review

    AFR · 2 publications · 37 citations

    2

    h-index

  2. European Journal of Agronomy

    2 publications · 41 citations

    2

    h-index

  3. German Journal of Agricultural Economics

    1 publications · 26 citations

    1

    h-index

  4. Ziran zaihai xuebao

    1 publications · 11 citations

    1

    h-index

  5. Environmental Sciences Europe

    1 publications · 11 citations

    1

    h-index

1–5