Soil water content measurement by capacitance technique: sensor design and performance

Autores

  • Gabriela Rodrigues da Costa Universidade Federal Rural do Rio de Janeiro
      Interesses conflitantes

      Não tenho interesses conflitantes.

    • Marinaldo Ferreira Pinto Universidade Federal Rural do Rio de Janeiro
        Interesses conflitantes

        Não tenho interesses conflitantes.

      • Jaídson Gonçalves da Rocha Universidade Federal Rural do Rio de Janeiro
          Interesses conflitantes

          Não tenho interesses conflitantes.

        • Celita Nathalia Vasconcelos Perdigão
            Interesses conflitantes

            Não tenho interesses conflitantes.

          • Daniel Fonseca de Carvalho Universidade Federal Rural do Rio de Janeiro
              Interesses conflitantes

              Não tenho interesses conflitantes.

            Palavras-chave:

            Manejo da irrigação, Umidade do solo, Permissividade do solo

            Resumo

            O conteúdo de água do solo é uma importante variável no manejo da irrigação e pode ser determinado por sensores eletrônicos. Este estudo teve como objetivo desenvolver um sensor capacitivo e avaliar seu desempenho em materiais de solo/substrato. Foram desenvolvidos protótipos de sensores com placas paralelas e coplanares, utilizando diferentes placas de circuito impresso e materiais isolantes. Na avaliação inicial, o sensor coplanar (SCP) construído em placa de fibra de vidro e isolado com verniz apresentou maior sensibilidade na estimativa da umidade do solo e maior facilidade de construção. O desempenho do SCP foi comparado ao sensor comercial 5TE da Decagon Devices (SC), após calibração em diferentes materiais de solo/substrato condicionados em colunas de PVC. Nesta etapa, as medidas do conteúdo de água (θ) obtidas pelo monitoramento das massas dos vasos em balanças de precisão foram comparadas às leituras dos sensores, gerando modelos de regressão relacionando θ com período (SCP) e permissividade (SC). Os valores estimados de θ foram comparados aos valores medidos e avaliados por índices de desempenho. A sensibilidade do SCP à salinidade e à temperatura foi avaliada posteriormente em água, para a faixa de 0,5 a 3,0 dS m-1 e 15 a 40 °C, respectivamente. O sensor desenvolvido apresentou baixo custo de fabricação (US$ 4.13) e desempenho satisfatório, com erro médio absoluto máximo de 0,0178 cm3 cm-3 e menor sensibilidade (9,9%) que o SC (34,2%) em relação à salinidade. Ambos os sensores apresentaram variação de, aproximadamente, 15% para temperatura variando de 15 a 40 °C.

            Downloads

            Os dados de download ainda não estão disponíveis.

            Referências

            BADAVATH, N. et al. Landslide susceptibility mapping for

            West-Jaintia Hills district, Meghalaya. Sadhana, v. 49, p. 1-19,

            2024. https://doi.org/10.1007/s12046-023-02404-9

            BOGENA, H. R. et al. Evaluation of a low-cost soil water content

            sensor for wireless network applications. Journal of Hydrology,

            v. 344, p. 32-42, 2007. https://doi.org/10.1016/j.jhydrol.2007.06.032

            Rev. Ciênc. Agron., v. 57, e202494376, 2026 11

            Soil water content measurement by capacitance technique: sensor design and performance

            CARDENAS-LAILHACAR, B.; DUKES, M. D. Precision of

            soil moisture sensor irrigation controllers under field conditions.

            Agricultural Water Management, v. 97, p. 666-672, 2010.

            https://doi.org/10.1016/j.agwat.2010.01.009

            CHEN, Y.; OR, D. Effects of Maxwell-Wagner polarization on

            soil complex dielectric permittivity under variable temperature

            and electrical conductivity. Water Resource Research, v. 42,

            n. 6, p. W06424, 2006. https://doi.org/10.1029/2005WR004590

            DUARTE, E.; HERNANDEZ, A. A review on soil moisture

            dynamics monitoring in semi-arid ecosystems: methods,

            techniques, and tools applied at different scales. Applied Sciences,

            v. 14, p. 7677, 2024. https://doi.org/10.3390/app14177677

            EVETT, S. R et al. Soil Profile Water Content Determination:

            Sensor Accuracy, Axial Response, Calibration, Temperature

            Dependence, and Precision. Vadose Zone Journal, v. 5, p. 894-907,

            2006. https://doi.org/10.2136/vzj2005.0149

            GOMES, F. H. F. et al. Calibration of a low-cost soil moisture sensor.

            Revista Brasileira de Agricultura Irrigada, v. 11, p. 1509-1516,

            2017. https://doi.org/10.7127/rbai.v11n400605

            HEISTERMANN, M. et al. Technical Note: Revisiting the

            general calibration of cosmic-ray neutron sensors to estimate soil

            water content. Hydrology and Earth System Sciences, v. 28,

            p. 989-1000, 2024. https://doi.org/10.5194/hess-28-989-2024

            KAMIENSKI, C.; VISOLI, M. C. Swamp: a precision

            irrigation platform based on the internet of things. Fonte, v. 15,

            p. 76-84, 2018. https://ainfo.cnptia.embrapa.br/digital/

            bitstream/item/191516/1/AP-Swamp.pdf

            LEONE, M. Advances in fiber optic sensors for soil moisture

            monitoring: a review. Results in Optics, v. 7, p. 100213, 2022.

            https://doi.org/10.1016/j.rio.2022.100213

            LIU, Y. et al. A review of Earth’s surface soil moisture

            retrieval models via remote sensing. Water, v. 15, p. 3757, 2023.

            https://doi.org/10.3390/w15213757

            LO, T. H. et al. Field assessment of interreplicate

            variability from eight electromagnetic soil moisture sensors.

            Agricultural Water Management, v. 231, p. 105984, 2020.

            https://doi.org/10.1016/j.agwat.2019.105984

            MORIASI, D. N. et al. Model evaluation guidelines for

            systematic quantification of accuracy in watershed simulations.

            Transactions of the ASABE, v. 50, p. 885-900, 2007. https://

            doi.org/10.13031/2013.23153

            ODUOR, N. et al. Soil management strategies enhanced crop yield,

            soil moisture, and water productivity in Nitisols of the Upper Eastern

            Kenya. Environmental Challenges, v. 5, p. 100375, 2021. https://

            doi.org/10.1016/j.envc.2021.100375

            OLIVEIRA, I. N. et al. Capacitance probe calibration for

            an Ultisol Udult cultivated with sugarcane by soil tillages.

            Agricultural Water Management, v. 241, p. 106341, 2020.

            https://doi.org/10.1016/j.agwat.2020.106341

            PERTASSEK, T. et al. Hyprop-fit Software User’s Manual.

            V.3.0, UMS GmbH. Version 3.0, München/Germany. 2015. 66 p.

            PIZETTA, S. C. et al. Calibration of a capacitive sensor

            to estimate moisture in three classes of soil. Irriga,

            v. 22, p. 458-468, 2017. http://dx.doi.org/10.15809/

            irriga.2017v22n3p458-468

            ROTH, K. et al. Calibration of Time Domain Reflectometry

            for Water Content Measurement Using a Composite Dielectric

            Approach. Water Resources Research, v. 26, p. 2267-2273,

            1990. https://doi.org/10.1029/WR026i010p02267

            ROTIMI, E. et al. Field Performance of Five Soil Moisture

            Instruments in Heavy Clay Soils. Soil Science Society

            of America Journal, v. 79, p. 20-29, 2015. https://doi.

            org/10.2136/sssaj2014.06.0250

            SHARMA, H. et al. Soil moisture sensor calibration,

            actual evapotranspiration, and crop coefficients for drip

            irrigated greenhouse chile peppers. Agricultural Water

            Management, v. 179, p. 81-91, 2017. https://doi.org/10.1016/j.

            agwat.2016.07.001

            SINGH, A. et al. Strategies to measure soil moisture using

            traditional methods, automated sensors, remote sensing, and

            machine learning techniques: review, bibliometric analysis,

            applications, research findings, and future directions. IEEE

            Access, v. 11, p. 13605-13635, 2023. https://doi.org/10.1109/

            ACCESS.2023.3243635

            SINGH, J. et al. Performance assessment of factory and

            field calibrations for electromagnetic sensors in a loam soil.

            Agricultural Water Management, v. 196, p. 87-98, 2018.

            https://doi.org/10.1016/j.agwat.2017.10.020

            SONGARA, J. C.; PATEL, J. N. Calibration and Comparison

            of Various Sensors for Soil Moisture Measurement.

            Measurement, v. 197, p. 11130, 2022. https://doi.org/10.1016/j.

            measurement.2022.111301

            SZYPLOWSKA, A. et al. Dielectric models for moisture

            determination of soils with variable organic matter content.

            Geoderma, v. 401, p. 115288, 2021. https://doi.org/10.1016/j.

            geoderma.2021.115288

            TOPP, G. C. et al. Electromagnetic determination of soil

            water content: Measurement in coaxial transmission lines.

            Water Resources Research, v. 16, p. 574-582, 1980. https://

            doi.org/10.1029/WR016i003p00574

            VEREECKEN, H. et al. Soil hydrology in the Earth system.

            Nature Reviews Earth & Environment, v. 3, p. 573-587, 2022.

            https://doi.org/10.1038/s43017-022-00324-6

            VERMA, S.; PAHUJA, R. Recalibration and performance

            comparison of soil moisture sensors using regression and neural

            network characteristic models. Materials Today: Proceedings,

            v. 45, p. 4852-4861, 2021. https://doi.org/10.1016/j.

            matpr.2021.01.306

            VORIES, E.; SUDDUTH, K. Determining sensor-based

            field capacity for irrigation scheduling. Agricultural Water

            Management, v. 250, p. 106860, 2021. https://doi.org/10.1016/j.

            agwat.2021.106860

            YU, H. et al. The agricultural planting structure adjustment based

            on water footprint and multi-objective optimization models

            in China. Journal of Cleaner Production, v. 297, p. 126646,

            2021. https://doi.org/10.1016/j.jclepro.2021.126646

            12 Rev. Ciênc. Agron., v. 57, e202494376, 2026

            G. R. Costa et al.

            This is an open-access article distributed under the terms of the Creative Commons Attribution License

            ZABOLOTNYI, O.; KOSHEVOI, M. An effective method

            of bulk materials moisture measurement using capacitive

            sensors. Journal of Stored Products Research, v. 89,

            p. 101733, 2020. https://doi.org/10.1016/j.jspr.2020.101733

            ZENG, J. et al. Microwave remote sensing of soil

            moisture: current status and future perspectives.

            Remote Sensing, v. 15, n. 17, p. 4243, 2023. https://

            doi.org/10.3390/rs15174243

            ZHANG, X. et al. Advanced technologies of soil moisture

            monitoring in precision agriculture: a review. Journal of

            Agriculture and Food Research, v. 18, e101473, 2024.

            https://doi.org/10.1016/j.jafr.2024.101473

            Downloads

            Publicado

            2026-10-19

            Declaração de Disponibilidade de Dados

            The research data is available only upon request to
            the corresponding author.

            Edição

            Seção

            Engenharia Agrícola

            Como Citar

            Rodrigues da Costa, G., Ferreira Pinto, M., Gonçalves da Rocha, J., Vasconcelos Perdigão, C. N., & Fonseca de Carvalho, D. (2026). Soil water content measurement by capacitance technique: sensor design and performance. Revista Ciência Agronômica, 57, 1-12. https://periodicos.ufc.br/revistacienciaagronomica/article/view/94376