Calibration equation and field test of a capacitive soil moisture sensor

Gilberto Souza; Brenno Tondato De Faria; Rafael Gomes Alves; Fabio Lima; Plinio Thomaz Aquino; Juha Pekka Soininen

doi:10.1109/MetroAgriFor50201.2020.9277634

Calibration equation and field test of a capacitive soil moisture sensor

Gilberto Souza, Brenno Tondato De Faria, Rafael Gomes Alves, Fabio Lima, Plinio Thomaz Aquino, Juha Pekka Soininen

FEI University Center

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

7 Citations (Scopus)

Abstract

A key point to decrease water usage in agriculture is to employ precision agriculture by adopting technologies such as the Internet of Things (IoT). Many solutions using the IoT rely on the use of soil moisture sensors to gather data, in real-Time, from the plant's root zone. This study presents a linear calibration curve, obtained by the thermogravimetric method, for a capacitive soil moisture sensor for a silty clay soil sampled at the FEI University Center. The curve obtained has an adjusted R2 of 0.86 and a residual standard error of 2.8%. The soil sensor was tested in the field during the end of February revealing that the sensor is capable of indicating changes in soil moisture within the error obtained from the calibration procedure and that it can be used to indicate changes by rain or irrigation procedures.

Original language	English
Title of host publication	IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020
Subtitle of host publication	Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	180-184
ISBN (Electronic)	978-1-7281-8783-9
ISBN (Print)	978-1-7281-8784-6
DOIs	https://doi.org/10.1109/MetroAgriFor50201.2020.9277634
Publication status	Published - 4 Nov 2020
MoE publication type	A4 Article in a conference publication
Event	3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Online - Virtual, Trento, Italy Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020
Country/Territory	Italy
City	Trento
Period	4/11/20 → 6/11/20

Funding

This research is a result of SWAMP (Smart Water Management Platform) 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 calll) EUB-02-2017 IoT Pilots call.

Keywords

capacitive sensor
sensor calibration
soil moisture
Volumetric water content

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MetroAgriFor50201.2020.9277634

Cite this

Souza, G., De Faria, B. T., Gomes Alves, R., Lima, F., Aquino, P. T., & Soininen, J. P. (2020). Calibration equation and field test of a capacitive soil moisture sensor. In IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Proceedings (pp. 180-184). Article 9277634 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/MetroAgriFor50201.2020.9277634

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abstract = "A key point to decrease water usage in agriculture is to employ precision agriculture by adopting technologies such as the Internet of Things (IoT). Many solutions using the IoT rely on the use of soil moisture sensors to gather data, in real-Time, from the plant's root zone. This study presents a linear calibration curve, obtained by the thermogravimetric method, for a capacitive soil moisture sensor for a silty clay soil sampled at the FEI University Center. The curve obtained has an adjusted R2 of 0.86 and a residual standard error of 2.8%. The soil sensor was tested in the field during the end of February revealing that the sensor is capable of indicating changes in soil moisture within the error obtained from the calibration procedure and that it can be used to indicate changes by rain or irrigation procedures.",

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Souza, G, De Faria, BT, Gomes Alves, R, Lima, F, Aquino, PT & Soininen, JP 2020, Calibration equation and field test of a capacitive soil moisture sensor. in IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Proceedings., 9277634, IEEE Institute of Electrical and Electronic Engineers, pp. 180-184, 3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020, Trento, Italy, 4/11/20. https://doi.org/10.1109/MetroAgriFor50201.2020.9277634

Calibration equation and field test of a capacitive soil moisture sensor. / Souza, Gilberto; De Faria, Brenno Tondato; Gomes Alves, Rafael et al.
IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2020. p. 180-184 9277634.

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

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AU - Souza, Gilberto

AU - De Faria, Brenno Tondato

AU - Gomes Alves, Rafael

AU - Lima, Fabio

AU - Aquino, Plinio Thomaz

AU - Soininen, Juha Pekka

PY - 2020/11/4

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N2 - A key point to decrease water usage in agriculture is to employ precision agriculture by adopting technologies such as the Internet of Things (IoT). Many solutions using the IoT rely on the use of soil moisture sensors to gather data, in real-Time, from the plant's root zone. This study presents a linear calibration curve, obtained by the thermogravimetric method, for a capacitive soil moisture sensor for a silty clay soil sampled at the FEI University Center. The curve obtained has an adjusted R2 of 0.86 and a residual standard error of 2.8%. The soil sensor was tested in the field during the end of February revealing that the sensor is capable of indicating changes in soil moisture within the error obtained from the calibration procedure and that it can be used to indicate changes by rain or irrigation procedures.

AB - A key point to decrease water usage in agriculture is to employ precision agriculture by adopting technologies such as the Internet of Things (IoT). Many solutions using the IoT rely on the use of soil moisture sensors to gather data, in real-Time, from the plant's root zone. This study presents a linear calibration curve, obtained by the thermogravimetric method, for a capacitive soil moisture sensor for a silty clay soil sampled at the FEI University Center. The curve obtained has an adjusted R2 of 0.86 and a residual standard error of 2.8%. The soil sensor was tested in the field during the end of February revealing that the sensor is capable of indicating changes in soil moisture within the error obtained from the calibration procedure and that it can be used to indicate changes by rain or irrigation procedures.

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Souza G, De Faria BT, Gomes Alves R, Lima F, Aquino PT, Soininen JP. Calibration equation and field test of a capacitive soil moisture sensor. In IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2020. p. 180-184. 9277634 doi: 10.1109/MetroAgriFor50201.2020.9277634

Calibration equation and field test of a capacitive soil moisture sensor

Abstract

Conference

Funding

Keywords

UN SDGs

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