Multi-source Yield Data Integration

Multi-Source Yield Data Integration is a systematic framework that synthesizes heterogeneous yield-related measurements from diverse observational, experimental, and simulation-based sources into a unified analytical dataset to enhance accuracy, scalability, and generalizability in agricultural productivity assessments.

17

Publications

1.5K

Citations

96

Authors

38

Institutions

Publications per year

2017–2026

15

Authors

96

  1. ZZ
    Zhao Zhang

    Beijing Normal University, China

    5 publications · 979 citations

    5

    h-index

  2. YL
    Yuchuan Luo

    Beijing Normal University, China

    4 publications · 911 citations

    4

    h-index

  3. JC
    Juan Cao

    Chinese Academy of Sciences, China

    4 publications · 911 citations

    4

    h-index

  4. JH
    Jichong Han

    Beijing Normal University, China

    3 publications · 769 citations

    3

    h-index

  5. FT
    Fulu Tao

    Institute of Geographic Sciences and Natural Resources Research, China

    3 publications · 618 citations

    3

    h-index

1–5 of 96

Venues

  1. Remote Sensing

    4 publications · 602 citations

    4

    h-index

  2. European Journal of Agronomy

    2 publications · 109 citations

    2

    h-index

  3. Agricultural and Forest Meteorology

    2 publications · 419 citations

    2

    h-index

  4. Agronomy

    1 publications · 47 citations

    1

    h-index

  5. Food and Energy Security

    1 publications · 99 citations

    1

    h-index

1–5