Spatial Yield Analysis

Spatial Yield Analysis is a methodological framework for mapping and interpreting geographic patterns in crop productivity by integrating geospatial data with statistical or machine learning techniques to identify spatially explicit yield-determining factors.

256

Publications

13.2K

Citations

968

Authors

363

Institutions

Publications per year

2017–2026

96

Authors

968

  1. LY
    Liangzhi You

    International Food Policy Research Institute, United States

    8 publications · 320 citations

    8

    h-index

  2. RE
    Richard E. Plant

    University of California, Davis, United States

    7 publications · 181 citations

    7

    h-index

  3. RM
    R. M. Lark

    Rothamsted Research, United Kingdom

    5 publications · 300 citations

    5

    h-index

  4. PG
    Patricio Grassini

    University of Nebraska–Lincoln, United States

    5 publications · 372 citations

    5

    h-index

  5. JI
    Juan I. Rattalino Edreira

    University of Nebraska–Lincoln, United States

    4 publications · 169 citations

    4

    h-index

1–5 of 968

Venues

  1. Agronomy Journal

    22 publications · 1K citations

    17

    h-index

  2. Precision Agriculture

    10 publications · 331 citations

    10

    h-index

  3. Field Crops Research

    9 publications · 628 citations

    9

    h-index

  4. Crop Science

    9 publications · 358 citations

    9

    h-index

  5. Computers and Electronics in Agriculture

    10 publications · 266 citations

    9

    h-index

1–5