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

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

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 languageEnglish
Title of host publicationIEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020
Subtitle of host publicationProceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages180-184
ISBN (Electronic)978-1-7281-8783-9
ISBN (Print)978-1-7281-8784-6
DOIs
Publication statusPublished - 4 Nov 2020
MoE publication typeA4 Article in a conference publication
Event3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Online - Virtual, Trento, Italy
Duration: 4 Nov 20206 Nov 2020

Conference

Conference3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020
Country/TerritoryItaly
CityTrento
Period4/11/206/11/20

Keywords

  • capacitive sensor
  • sensor calibration
  • soil moisture
  • Volumetric water content

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