Irrigation water saving estimation using soil moisture forecast simulation

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

Research output: Contribution to conferenceConference articleScientificpeer-review

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
Number of pages5
Publication statusPublished - 4 Nov 2021
MoE publication typeNot Eligible
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

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