Yield Data Assimilation

Yield Data Assimilation is a computational framework within agricultural data science that integrates heterogeneous sources of crop yield observations into predictive models through systematic error correction and spatiotemporal alignment to improve yield estimation accuracy.

46

Publications

3.6K

Citations

201

Authors

91

Institutions

Publications per year

2017–2026

29

Authors

201

  1. JH
    Jianxi Huang

    China Agricultural University, China

    7 publications · 1.2K citations

    7

    h-index

  2. ZC
    Zhongxin Chen

    Institute of Agricultural Resources and Regional Planning, China

    5 publications · 229 citations

    5

    h-index

  3. JR
    Jianqiang Ren

    Institute of Agricultural Resources and Regional Planning, China

    5 publications · 263 citations

    5

    h-index

  4. HL
    He Li

    Chinese Academy of Sciences, China

    4 publications · 201 citations

    4

    h-index

  5. JF
    Jinlong Fan

    China Meteorological Administration, China

    4 publications · 695 citations

    4

    h-index

1–5 of 201

Venues

  1. Remote Sensing

    12 publications · 505 citations

    12

    h-index

  2. Agricultural and Forest Meteorology

    7 publications · 1.4K citations

    7

    h-index

  3. Remote Sensing of Environment

    3 publications · 434 citations

    3

    h-index

  4. Computers and Electronics in Agriculture

    3 publications · 90 citations

    3

    h-index

  5. 3

    h-index

1–5