Seed Population Optimization

Seed Population Optimization is a methodological framework in precision agriculture that determines the optimal seeding rate across spatially variable field conditions to maximize crop yield and resource efficiency by integrating site-specific environmental, soil, and management factors.

9

Publications

514

Citations

26

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

26

  1. JL
    Jiandong Liu

    University of Chinese Academy of Sciences, China

    1 publications · 16 citations

    1

    h-index

  2. PJ
    Paulo José Alba

    Universidade Federal de Santa Maria, Brazil

    1 publications · 67 citations

    1

    h-index

  3. HY
    Hongyi Yao

    Tsinghua University, China

    1 publications · 13 citations

    1

    h-index

  4. UA
    Uwe Aickelin

    University of Nottingham, United Kingdom

    1 publications · 16 citations

    1

    h-index

  5. TD
    Tiago de Andrade Neves Hörbe

    Universidade Federal de Santa Maria, Brazil

    1 publications · 67 citations

    1

    h-index

1–5 of 26

Venues

  1. Archives of Computational Methods in Engineering

    ARCME · 1 publications · 100 citations

    1

    h-index

  2. American Journal of Potato Research

    1 publications · 20 citations

    1

    h-index

  3. Journal of Crystal Growth

    1 publications · 15 citations

    1

    h-index

  4. Precision Agriculture

    1 publications · 67 citations

    1

    h-index

  5. Silvae genetica/Silvae Genetica

    1 publications · 64 citations

    1

    h-index

1–5