Yield Map Generation

Yield Map Generation is a data-processing workflow in precision agriculture that transforms georeferenced raw yield monitor measurements into spatially explicit yield maps through systematic procedures such as data screening, normalization, interpolation, and classification.

576

Publications

36.9K

Citations

2.4K

Authors

717

Institutions

Publications per year

2017–2026

288

Authors

2.4K

  1. DB
    David B. Lobell

    Stanford University, United States

    12 publications · 2.5K citations

    12

    h-index

  2. LY
    Liangzhi You

    International Food Policy Research Institute, United States

    9 publications · 754 citations

    9

    h-index

  3. JM
    J. M. Bradford

    Purdue University West Lafayette, United States

    8 publications · 416 citations

    8

    h-index

  4. KA
    Kenneth A. Sudduth

    Quality Research, United States

    8 publications · 596 citations

    8

    h-index

  5. JP
    José Paulo Molin

    Universidade de São Paulo, Brazil

    7 publications · 264 citations

    7

    h-index

1–5 of 2.4K

Venues

  1. Computers and Electronics in Agriculture

    44 publications · 2.6K citations

    30

    h-index

  2. Precision Agriculture

    29 publications · 1.7K citations

    22

    h-index

  3. Remote Sensing of Environment

    20 publications · 5.3K citations

    20

    h-index

  4. Remote Sensing

    26 publications · 1.2K citations

    20

    h-index

  5. Theoretical and Applied Genetics

    15 publications · 1.5K citations

    15

    h-index

1–5