IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i16p6577-d398854.html
   My bibliography  Save this article

Assessment of the Combined Effect of Temperature and Salinity on the Outputs of Soil Dielectric Sensors in Coconut Fiber

Author

Listed:
  • Sebastián Bañón

    (Department of Agricultural Engineering, UPCT—Technical University of Cartagena, 30203 Cartagena, Spain)

  • Jesús Ochoa

    (Department of Agricultural Engineering, UPCT—Technical University of Cartagena, 30203 Cartagena, Spain)

  • Daniel Bañón

    (Department of Irrigation, CEBAS-CSIC—Center for Edaphology and Applied Biology of Segura, 30100 Murcia, Spain)

  • María Fernanda Ortuño

    (Department of Irrigation, CEBAS-CSIC—Center for Edaphology and Applied Biology of Segura, 30100 Murcia, Spain)

  • María Jesús Sánchez-Blanco

    (Department of Irrigation, CEBAS-CSIC—Center for Edaphology and Applied Biology of Segura, 30100 Murcia, Spain)

Abstract

Dielectric sensors are useful instruments for measuring soil moisture and salinity. The soil moisture is determined by measuring the dielectric permittivity, while bulk electrical conductivity (EC) is measured directly. However, permittivity and bulk EC can be altered by many variables such as measurement frequency, soil texture, salinity, or temperature. Soil temperature variation is a crucial factor as there is much evidence showing that global warming is taking place. This work aims to assess how variations in the temperature and salinity of coconut fiber affect the output of EC5 (voltage) and GS3 (permittivity and bulk EC) Decagon sensors. The results showed that the effect of temperature and salinity on the output of the sensors can lead to substantial errors in moisture estimations. At low salinity values, permittivity readings decreased as temperature increased, while voltage readings were not affected, regardless of substrate moisture. The GS3 sensor underestimated the bulk EC when it is measured below 25 °C. The temperature dependence of the voltage of EC5 was not significant up to 10 dS m −1 , and the permittivity of the GS3 was more affected by the interaction between temperature and salinity. The effect that salinity has on the permittivity of the GS3 sensor can be reduced if a permittivity–moisture calibration is performed with saline solutions, while the effect resulting from the interaction between temperature and salinity can be minimized using a regression model that considers such an interaction.

Suggested Citation

  • Sebastián Bañón & Jesús Ochoa & Daniel Bañón & María Fernanda Ortuño & María Jesús Sánchez-Blanco, 2020. "Assessment of the Combined Effect of Temperature and Salinity on the Outputs of Soil Dielectric Sensors in Coconut Fiber," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6577-:d:398854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/16/6577/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/16/6577/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Incrocci, Luca & Marzialetti, Paolo & Incrocci, Giorgio & Di Vita, Andrea & Balendonck, Jos & Bibbiani, Carlo & Spagnol, Serafino & Pardossi, Alberto, 2019. "Sensor-based management of container nursery crops irrigated with fresh or saline water," Agricultural Water Management, Elsevier, vol. 213(C), pages 49-61.
    2. Kargas, George & Soulis, Konstantinos X., 2019. "Performance evaluation of a recently developed soil water content, dielectric permittivity, and bulk electrical conductivity electromagnetic sensor," Agricultural Water Management, Elsevier, vol. 213(C), pages 568-579.
    3. Valdés, R. & Ochoa, J. & Franco, J.A. & Sánchez-Blanco, M.J. & Bañón, S., 2015. "Saline irrigation scheduling for potted geranium based on soil electrical conductivity and moisture sensors," Agricultural Water Management, Elsevier, vol. 149(C), pages 123-130.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Domínguez-Niño, Jesús María & Oliver-Manera, Jordi & Girona, Joan & Casadesús, Jaume, 2020. "Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors," Agricultural Water Management, Elsevier, vol. 228(C).
    2. Lo, Tsz Him & Rudnick, Daran R. & Singh, Jasreman & Nakabuye, Hope Njuki & Katimbo, Abia & Heeren, Derek M. & Ge, Yufeng, 2020. "Field assessment of interreplicate variability from eight electromagnetic soil moisture sensors," Agricultural Water Management, Elsevier, vol. 231(C).
    3. Ben Hassena, Ameni & Zouari, Mohamed & Trabelsi, Lina & Decou, Raphaël & Ben Amar, Fathi & Chaari, Anissa & Soua, Nabil & Labrousse, Pascal & Khabou, Wahid & Zouari, Nacim, 2021. "Potential effects of arbuscular mycorrhizal fungi in mitigating the salinity of treated wastewater in young olive plants (Olea europaea L. cv. Chetoui)," Agricultural Water Management, Elsevier, vol. 245(C).
    4. Silvia Traversari & Sonia Cacini & Angelica Galieni & Beatrice Nesi & Nicola Nicastro & Catello Pane, 2021. "Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    5. Singh, J. & Lo, T. & Rudnick, D.R. & Irmak, S. & Blanco-Canqui, H., 2019. "Quantifying and correcting for clay content effects on soil water measurement by reflectometers," Agricultural Water Management, Elsevier, vol. 216(C), pages 390-399.
    6. Gulom Bekmirzaev & Baghdad Ouddane & Jose Beltrao & Yoshiharu Fujii, 2020. "The Impact of Salt Concentration on the Mineral Nutrition of Tetragonia tetragonioides," Agriculture, MDPI, vol. 10(6), pages 1-10, June.
    7. Ziyang Guo & Yongjun Sun & Shu-Yuan Pan & Pen-Chi Chiang, 2019. "Integration of Green Energy and Advanced Energy-Efficient Technologies for Municipal Wastewater Treatment Plants," IJERPH, MDPI, vol. 16(7), pages 1-29, April.
    8. Konstantinos X. Soulis & Emmanouil Psomiadis & Paraskevi Londra & Dimitris Skuras, 2020. "A New Model-Based Approach for the Evaluation of the Net Contribution of the European Union Rural Development Program to the Reduction of Water Abstractions in Agriculture," Sustainability, MDPI, vol. 12(17), pages 1-25, September.
    9. Incrocci, Luca & Marzialetti, Paolo & Incrocci, Giorgio & Di Vita, Andrea & Balendonck, Jos & Bibbiani, Carlo & Spagnol, Serafino & Pardossi, Alberto, 2019. "Sensor-based management of container nursery crops irrigated with fresh or saline water," Agricultural Water Management, Elsevier, vol. 213(C), pages 49-61.
    10. Abdi, Damon E. & Owen, James S. & Wilson, P. Christopher & Hinz, Francisca O. & Cregg, Bert & Fernandez, R. Thomas, 2021. "Reducing pesticide transport in surface and subsurface irrigation return flow in specialty crop production," Agricultural Water Management, Elsevier, vol. 256(C).
    11. Montesano, Francesco Fabiano & van Iersel, Marc W. & Boari, Francesca & Cantore, Vito & D’Amato, Giulio & Parente, Angelo, 2018. "Sensor-based irrigation management of soilless basil using a new smart irrigation system: Effects of set-point on plant physiological responses and crop performance," Agricultural Water Management, Elsevier, vol. 203(C), pages 20-29.
    12. Incrocci, Luca & Thompson, Rodney B. & Fernandez-Fernandez, María Dolores & De Pascale, Stefania & Pardossi, Alberto & Stanghellini, Cecilia & Rouphael, Youssef & Gallardo, Marisa, 2020. "Irrigation management of European greenhouse vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
    13. Antonio Ruiz-Canales & Manuel Ferrández-Villena García, 2021. "Sustainable Applications in Agriculture," Sustainability, MDPI, vol. 13(8), pages 1-5, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6577-:d:398854. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.