Irrigation Demand Forecasting

Irrigation Demand Forecasting is a predictive modeling approach that estimates future crop water requirements by integrating environmental, agronomic, and climatic data to optimize irrigation scheduling in precision agriculture systems.

86

Publications

3.5K

Citations

297

Authors

130

Institutions

Publications per year

2017–2026

38

Authors

297

  1. JA
    Juan Antonio Rodríguez Díaz

    University of Córdoba, Spain

    5 publications · 116 citations

    5

    h-index

  2. EC
    Emilio Camacho Poyato

    University of Córdoba, Spain

    4 publications · 100 citations

    4

    h-index

  3. RG
    R. González Perea

    University of Córdoba, Spain

    4 publications · 95 citations

    4

    h-index

  4. IP
    Inmaculada Pulido‐Calvo

    Universidad de Huelva, Spain

    3 publications · 302 citations

    3

    h-index

  5. AD
    André Daccache

    Cranfield University, United Kingdom

    2 publications · 32 citations

    2

    h-index

1–5 of 297

Venues

  1. Agricultural Water Management

    11 publications · 476 citations

    11

    h-index

  2. Water Resources Management

    6 publications · 262 citations

    6

    h-index

  3. Journal of Cleaner Production

    3 publications · 115 citations

    3

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5