Prescription Map Optimization

Prescription Map Optimization is a computational method within precision agriculture that systematically refines spatially variable input recommendations in prescription maps to maximize agronomic efficiency and resource allocation while minimizing environmental impact.

12

Publications

326

Citations

61

Authors

28

Institutions

Publications per year

2017–2026

8

Authors

61

  1. RL
    Robert L. Nichols

    Cotton (United States), United States

    2 publications · 26 citations

    2

    h-index

  2. CY
    Chenghai Yang

    Agricultural Research Service, United States

    2 publications · 26 citations

    2

    h-index

  3. JA
    J. Alex Thomasson

    Texas A&M University, United States

    2 publications · 26 citations

    2

    h-index

  4. TI
    Thomas Isakeit

    Texas A&M University, United States

    2 publications · 26 citations

    2

    h-index

  5. XX
    Xingang Xu

    National Engineering Research Center for Information Technology in Agriculture, China

    1 publications · 17 citations

    1

    h-index

1–5 of 61

Venues

  1. Remote Sensing

    2 publications · 46 citations

    2

    h-index

  2. Agronomy

    2 publications · 53 citations

    2

    h-index

  3. New Zealand Journal of Agricultural Research

    NZJA · 1 publications · 11 citations

    1

    h-index

  4. Transactions of the ASAE

    1 publications · 69 citations

    1

    h-index

  5. Journal of Applied Remote Sensing

    JARS · 1 publications · 10 citations

    1

    h-index

1–5