Pixel-level Yield Estimation

Pixel-Level Yield Estimation is a remote sensing method that quantifies crop yield at the individual image pixel scale by leveraging spectral, spatial, and temporal data to model productivity variations within agricultural fields.

154

Publications

10.3K

Citations

714

Authors

286

Institutions

Publications per year

2017–2026

98

Authors

714

  1. XX
    Xingang Xu

    National Engineering Research Center for Information Technology in Agriculture, China

    3 publications · 228 citations

    3

    h-index

  2. HT
    Huajun Tang

    Chinese Academy of Agricultural Sciences, China

    3 publications · 351 citations

    3

    h-index

  3. XL
    Xuecao Li

    China Agricultural University, China

    3 publications · 192 citations

    3

    h-index

  4. XZ
    Xiaoyang Zhang

    South Dakota State University, United States

    3 publications · 607 citations

    3

    h-index

  5. AE
    Andrew E. Suyker

    University of Nebraska–Lincoln, United States

    3 publications · 164 citations

    3

    h-index

1–5 of 714

Venues

  1. Computers and Electronics in Agriculture

    21 publications · 1.5K citations

    19

    h-index

  2. 9

    h-index

  3. Agricultural and Forest Meteorology

    9 publications · 1K citations

    9

    h-index

  4. Remote Sensing of Environment

    8 publications · 1.1K citations

    8

    h-index

  5. European Journal of Agronomy

    9 publications · 766 citations

    8

    h-index

1–5