Crop Yield Data Quality

Crop Yield Data Quality is the extent to which agricultural yield data accurately, consistently, and reliably represent observed field-level productivity measurements, satisfying the informational requirements for valid agronomic and economic inference in yield insurance applications.

82

Publications

4.4K

Citations

310

Authors

150

Institutions

Publications per year

2017–2026

30

Authors

310

  1. PG
    Patricio Grassini

    University of Nebraska–Lincoln, United States

    4 publications · 547 citations

    4

    h-index

  2. BJ
    Bruce J. Sherrick

    University of Illinois Urbana-Champaign, United States

    3 publications · 75 citations

    3

    h-index

  3. MO
    Mark Overton

    Queen's University Belfast, United Kingdom

    3 publications · 108 citations

    3

    h-index

  4. RM
    Roderick M. Rejesus

    North Carolina State University, United States

    2 publications · 23 citations

    2

    h-index

  5. AH
    A. Hall

    University of St Andrews, United Kingdom

    2 publications · 71 citations

    2

    h-index

1–5 of 310

Venues

  1. American Journal of Agricultural Economics

    6 publications · 494 citations

    7

    h-index

  2. Field Crops Research

    7 publications · 668 citations

    7

    h-index

  3. European Journal of Agronomy

    4 publications · 260 citations

    4

    h-index

  4. AgEcon Search (University of Minnesota, USA)

    Repository · 3 publications · 48 citations

    3

    h-index

  5. Agricultural Systems

    3 publications · 462 citations

    3

    h-index

1–5