Sensor-based Yield Analysis

Sensor-Based Yield Analysis is a methodological framework within spatial variability analysis that utilizes in-situ or remote sensing technologies to capture, quantify, and interpret spatiotemporal patterns of agricultural yield variability across fields.

71

Publications

3.7K

Citations

312

Authors

121

Institutions

Publications per year

2017–2026

24

Authors

312

  1. LK
    Lakesh K. Sharma

    University of Maine at Presque Isle, United States

    5 publications · 257 citations

    5

    h-index

  2. DW
    David W. Franzen

    North Dakota State University, United States

    5 publications · 257 citations

    5

    h-index

  3. HB
    Honggang Bu

    North Dakota State University, United States

    4 publications · 216 citations

    4

    h-index

  4. JP
    José Paulo Molin

    Universidade de São Paulo, Brazil

    3 publications · 49 citations

    3

    h-index

  5. WR
    W. R. Raun

    Oklahoma State University, United States

    3 publications · 939 citations

    3

    h-index

1–5 of 312

Venues

  1. Agronomy Journal

    9 publications · 1.2K citations

    9

    h-index

  2. Precision Agriculture

    6 publications · 270 citations

    6

    h-index

  3. Sensors

    4 publications · 254 citations

    4

    h-index

  4. Agricultural and Forest Meteorology

    3 publications · 514 citations

    3

    h-index

  5. Remote Sensing

    3 publications · 158 citations

    3

    h-index

1–5