Yield Potential Mapping

Yield Potential Mapping is a geospatial modeling technique in remote sensing that characterizes the maximum achievable crop productivity across heterogeneous landscapes under optimal management conditions, distinguished by its integration of multispectral imagery, environmental covariates, and crop growth models to spatially predict potential yields prior to harvest.

156

Publications

9.6K

Citations

863

Authors

327

Institutions

Publications per year

2017–2026

64

Authors

863

  1. BT
    Brenda Tubaña

    Louisiana State University Agricultural Center, United States

    5 publications · 582 citations

    5

    h-index

  2. PG
    Patricio Grassini

    University of Nebraska–Lincoln, United States

    5 publications · 894 citations

    5

    h-index

  3. WR
    W. R. Raun

    Oklahoma State University, United States

    4 publications · 458 citations

    4

    h-index

  4. KG
    Kenneth G. Cassman

    University of Nebraska–Lincoln, United States

    4 publications · 547 citations

    4

    h-index

  5. JI
    Juan I. Rattalino Edreira

    University of Nebraska–Lincoln, United States

    3 publications · 450 citations

    3

    h-index

1–5 of 863

Venues

  1. Field Crops Research

    10 publications · 1.5K citations

    10

    h-index

  2. Crop Science

    9 publications · 429 citations

    9

    h-index

  3. Agronomy Journal

    8 publications · 580 citations

    8

    h-index

  4. GCB Bioenergy

    4 publications · 242 citations

    4

    h-index

  5. Frontiers in Plant Science

    4 publications · 127 citations

    4

    h-index

1–5