Irrigation water saving estimation using soil moisture forecast simulation

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

doi:10.1109/MetroAgriFor52389.2021.9628706

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	300-304
Number of pages	5
ISBN (Electronic)	978-1-6654-0533-1
DOIs	https://doi.org/10.1109/MetroAgriFor52389.2021.9628706
Publication status	Published - 4 Nov 2021
MoE publication type	A4 Article in a conference publication
Event	IEEE International Workshop on Metrology for Agriculture and Forestry - Hybrid, Trento-Bolzano, Italy Duration: 3 Nov 2021 → 5 Nov 2021 https://www.metroagrifor.org/

Conference

Conference	IEEE International Workshop on Metrology for Agriculture and Forestry
Country/Territory	Italy
City	Trento-Bolzano
Period	3/11/21 → 5/11/21
Internet address	https://www.metroagrifor.org/

Keywords

Precision
Irrigation
Internet of Things
Simulation
Precision Irrigation

Access to Document

10.1109/MetroAgriFor52389.2021.9628706

Cite this

Soininen, J-P., Kolehmainen, K., Tanner, H., Golnabi, J., Dantas, R., & Souza, G. (2021). Irrigation water saving estimation using soil moisture forecast simulation. In 2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings (pp. 300-304). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/MetroAgriFor52389.2021.9628706

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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.",

keywords = "Precision, Irrigation, Internet of Things, Simulation, Precision Irrigation",

author = "Juha-Pekka Soininen and Kari Kolehmainen and Hannu Tanner and Jafar Golnabi and Ramide Dantas and Gilberto Souza",

note = "Funding Information: ACKNOWLEDGMENT This research is a result of SWAMP project (ID 777112) and has been jointly funded by European Commission in Europe and MCTIC/RNP in Brazil, under the H2020 (EU2.1.1 Industrial Leadership call) EUB-02-2017 IoT Pilots call. ; IEEE International Workshop on Metrology for Agriculture and Forestry ; Conference date: 03-11-2021 Through 05-11-2021",

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doi = "10.1109/MetroAgriFor52389.2021.9628706",

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Soininen, J-P , Kolehmainen, K , Tanner, H, Golnabi, J, Dantas, R & Souza, G 2021, Irrigation water saving estimation using soil moisture forecast simulation. in 2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, pp. 300-304, IEEE International Workshop on Metrology for Agriculture and Forestry, Trento-Bolzano, Italy, 3/11/21. https://doi.org/10.1109/MetroAgriFor52389.2021.9628706

Irrigation water saving estimation using soil moisture forecast simulation. / Soininen, Juha-Pekka ; Kolehmainen, Kari ; Tanner, Hannu et al.
2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2021. p. 300-304.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Irrigation water saving estimation using soil moisture forecast simulation

AU - Soininen, Juha-Pekka

AU - Kolehmainen, Kari

AU - Tanner, Hannu

AU - Golnabi, Jafar

AU - Dantas, Ramide

AU - Souza, Gilberto

N1 - Funding Information: ACKNOWLEDGMENT This research is a result of SWAMP project (ID 777112) and has been jointly funded by European Commission in Europe and MCTIC/RNP in Brazil, under the H2020 (EU2.1.1 Industrial Leadership call) EUB-02-2017 IoT Pilots call.

PY - 2021/11/4

Y1 - 2021/11/4

N2 - 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.

AB - 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.

KW - Precision

KW - Irrigation

KW - Internet of Things

KW - Simulation

KW - Precision Irrigation

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M3 - Conference article in proceedings

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BT - 2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE International Workshop on Metrology for Agriculture and Forestry

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Soininen J-P , Kolehmainen K , Tanner H, Golnabi J, Dantas R, Souza G. Irrigation water saving estimation using soil moisture forecast simulation. In 2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2021. p. 300-304 doi: 10.1109/MetroAgriFor52389.2021.9628706

Irrigation water saving estimation using soil moisture forecast simulation

Abstract

Conference

Keywords

Access to Document

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Fingerprint

SWAMP: Smart Water Management Platform

Cite this

Irrigation water saving estimation using soil moisture forecast simulation

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SWAMP: Smart Water Management Platform

Cite this