Irrigation water saving estimation using soil moisture forecast simulation

Juha-Pekka Soininen, Kari Kolehmainen, Hannu Tanner, Jafar Golnabi, Ramide Dantas, Gilberto Souza

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    This paper describes a soil moisture forecasting approach for estimation of irrigation water saving in a semi-arid area. The soil moisture forecasting model is based on the vertical water movements between the soil layers. It was created based on measurements of both weather conditions and soil moistures at the field under study. The simulation model predicts the soil moisture development based on weather forecasts. The idea of the model is to use it for controlling the precision irrigation system and to save the irrigation water consumption. The simulations show the potential for saving about 25% of irrigation water without compromising the health of the crop.
    Original languageEnglish
    Title of host publication2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages300-304
    Number of pages5
    ISBN (Electronic)978-1-6654-0533-1
    DOIs
    Publication statusPublished - 4 Nov 2021
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Workshop on Metrology for Agriculture and Forestry - Hybrid, Trento-Bolzano, Italy
    Duration: 3 Nov 20215 Nov 2021
    https://www.metroagrifor.org/

    Conference

    ConferenceIEEE International Workshop on Metrology for Agriculture and Forestry
    Country/TerritoryItaly
    CityTrento-Bolzano
    Period3/11/215/11/21
    Internet address

    Keywords

    • Precision
    • Irrigation
    • Internet of Things
    • Simulation
    • Precision Irrigation

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