Planting Coverage Optimization

Planting Coverage Optimization is a computational framework in robotic planting that determines the optimal spatial distribution and density of seed placements within a target area to maximize crop yield potential while minimizing resource overlap and redundancy.

1

Publications

32

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

4

  1. MH
    Mengmeng Hu

    Sun Yat-sen University, China

    1 publications · 32 citations

    1

    h-index

  2. QY
    Qiangyi Yu

    Institute of Agricultural Resources and Regional Planning, China

    1 publications · 32 citations

    1

    h-index

  3. WW
    Wenbin Wu

    Institute of Agricultural Resources and Regional Planning, China

    1 publications · 32 citations

    1

    h-index

  4. HT
    Huajun Tang

    Chinese Academy of Agricultural Sciences, China

    1 publications · 32 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. Institute of Agricultural Resources and Regional Planning

    Beijing, China

    1 h-index

    4 publications

    128 citations

  2. Chinese Academy of Agricultural Sciences

    Beijing, China

    1 h-index

    4 publications

    128 citations

  3. Ministry of Agriculture and Rural Affairs

    Beijing, China

    1 h-index

    4 publications

    128 citations

1–3 of 3

Venues

  1. Sustainable Production and Consumption

    1 publications · 32 citations

    1

    h-index

1–1