Model-based Fertigation

Model-Based Fertigation is a systematic approach to nutrient and water management in agricultural production that uses predictive models—such as crop growth, soil nutrient dynamics, or environmental response models—to optimize the timing, rate, and composition of fertilizer application through irrigation systems, distinguishing it from empirical or sensor-based fertigation by its reliance on mechanistic or mathematical representations of plant-soil-system interactions.

18

Publications

1.2K

Citations

54

Authors

28

Institutions

Publications per year

2017–2026

5

Authors

54

  1. BH
    Blaine Hanson

    University of California, Davis, United States

    2 publications · 586 citations

    2

    h-index

  2. MH
    M. Heinen

    Wageningen University & Research, Netherlands

    2 publications · 78 citations

    2

    h-index

  3. HE
    Hamed Ebrahimian

    University of Tehran, Iran

    2 publications · 43 citations

    2

    h-index

  4. JW
    J. W. Hopmans

    University of California, Davis, United States

    2 publications · 586 citations

    2

    h-index

  5. PG
    Pilar García‐Navarro

    Universidad de Zaragoza, Spain

    2 publications · 41 citations

    2

    h-index

1–5 of 54

Venues

  1. Agricultural Water Management

    5 publications · 727 citations

    5

    h-index

  2. Spanish Journal of Agricultural Research

    SJAR · 2 publications · 49 citations

    2

    h-index

  3. 1

    h-index

  4. Biosystems Engineering

    1 publications · 13 citations

    1

    h-index

  5. Journal of Integrative Agriculture

    JIA · 1 publications · 33 citations

    1

    h-index

1–5