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

    4 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 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

    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

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