Multi-objective Seeding Optimization

Multi-Objective Seeding Optimization is a computational framework in precision agriculture that simultaneously optimizes multiple, often conflicting, seeding rate objectives—such as yield maximization, resource efficiency, and environmental sustainability—by leveraging spatial variability data to generate Pareto-optimal seeding prescriptions across heterogeneous fields.

4

Publications

155

Citations

17

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

17

  1. CP
    C.M. Pareek

    Indian Institute of Technology Kharagpur, India

    1 publications · 67 citations

    1

    h-index

  2. NM
    Nazmi Mat Nawi

    Universiti Putra Malaysia, Malaysia

    1 publications · 34 citations

    1

    h-index

  3. RM
    Rajendra Machavaram

    Indian Institute of Technology Kharagpur, India

    1 publications · 67 citations

    1

    h-index

  4. VT
    V.K. Tewari

    Indian Institute of Technology Kharagpur, India

    1 publications · 67 citations

    1

    h-index

  5. ML
    Miqing Li

    University of Birmingham, United Kingdom

    1 publications · 29 citations

    1

    h-index

1–5 of 17

Venues

  1. Information and Software Technology

    2 publications · 54 citations

    2

    h-index

  2. 1

    h-index

  3. Energy Reports

    1 publications · 34 citations

    1

    h-index

  4. Journal of Building Engineering

    1 publications · 11 citations

1–4