Irrigation System Optimization

Irrigation System Optimization is a methodological framework within irrigation control that systematically enhances the efficiency, timing, and spatial distribution of water application by minimizing resource inputs and maximizing crop productivity through the integration of real-time data, predictive models, and automated decision-making.

872

Publications

36.6K

Citations

2.4K

Authors

843

Institutions

Publications per year

2017–2026

344

Authors

2.4K

  1. PG
    Ping Guo

    China Agricultural University, China

    29 publications · 972 citations

    19

    h-index

  2. ML
    Mo Li

    Northeast Agricultural University, China

    21 publications · 1K citations

    17

    h-index

  3. MA
    Miguel A. Mariño

    University of California, Davis, United States

    15 publications · 734 citations

    14

    h-index

  4. SG
    Shanshan Guo

    China Agricultural University, China

    13 publications · 319 citations

    13

    h-index

  5. QF
    Qiang Fu

    Northeast Agricultural University, China

    12 publications · 570 citations

    12

    h-index

1–5 of 2.4K

Venues

  1. Agricultural Water Management

    160 publications · 8.9K citations

    55

    h-index

  2. Journal of Irrigation and Drainage Engineering

    60 publications · 2.4K citations

    28

    h-index

  3. Computers and Electronics in Agriculture

    32 publications · 1.7K citations

    25

    h-index

  4. Water Resources Management

    40 publications · 1.5K citations

    22

    h-index

  5. Water Resources Research

    31 publications · 1.8K citations

    20

    h-index

1–5