Multisensor Yield Estimation

Multisensor Yield Estimation is a yield estimation framework that integrates data from multiple heterogeneous sensing sources to improve the accuracy and reliability of crop yield predictions by capturing complementary spatiotemporal and biophysical information across agricultural environments.

66

Publications

3.8K

Citations

336

Authors

133

Institutions

Publications per year

2017–2026

46

Authors

336

  1. WR
    W. R. Raun

    Oklahoma State University, United States

    4 publications · 88 citations

    4

    h-index

  2. LA
    Lawrence Aula

    Oklahoma State University, United States

    2 publications · 26 citations

    2

    h-index

  3. XX
    Xingang Xu

    National Engineering Research Center for Information Technology in Agriculture, China

    2 publications · 210 citations

    2

    h-index

  4. XJ
    Xiuliang Jin

    National Engineering Research Center for Information Technology in Agriculture, China

    2 publications · 210 citations

    2

    h-index

  5. KA
    Kenneth A. Sudduth

    Quality Research, United States

    2 publications · 340 citations

    2

    h-index

1–5 of 336

Venues

  1. Computers and Electronics in Agriculture

    5 publications · 381 citations

    6

    h-index

  2. Precision Agriculture

    4 publications · 161 citations

    4

    h-index

  3. Agriculture

    4 publications · 91 citations

    4

    h-index

  4. Remote Sensing

    4 publications · 137 citations

    4

    h-index

  5. Agronomy Journal

    3 publications · 127 citations

    3

    h-index

1–5