IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v132y2014icp111-119.html
   My bibliography  Save this article

Laboratory and field assessment of the capacitance sensors Decagon 10HS and 5TE for estimating the water content of irrigated soils

Author

Listed:
  • Visconti, Fernando
  • de Paz, José Miguel
  • Martínez, Delfina
  • Molina, Mª José

Abstract

Capacitance sensors such as Decagon 10HS and 5TE are increasingly used for soil water content (θ) estimation. However, their reliability and limitations in clayey soils irrigated with saline waters have not been completely characterized under field conditions. Four levels of soil water content were combined with six levels of soil salinity in twenty-four pots to assess the performance of both sensors in a wide range of soil salinities. A simplified power-law dielectric mixing model was calibrated in the laboratory to estimate the θ of a clay loam soil from the measurements of apparent dielectric permittivity (ɛb) performed with both sensors. The calibrated equation was subsequently validated for the estimation of θ at two depths in six irrigated salt-threatened soils with clayey textures in SE Spain. The 10HS sensor provides higher estimations of ɛb than the 5TE. Besides, the 5TE sensor was more sensitive to soil salinity. Consequently, a different calibration was carried out for each sensor. When all the soil salinity treatments were included in the calibrations, the results were poor. However, for soil apparent electrical conductivities below 1.7dSm−1 the 5TE sensor could be calibrated with low prediction errors, and with the calibration parameters b0 and b1 very close to their characteristic values in clayey and mineral soils. In field testing, the 5TE sensors calibrated with the obtained equation provided average correct estimations with an error of ±0.05m3m−3. On the contrary, the 10HS sensor overestimated the soil water content by 0.07m3m−3 on average. The proposed simple calibration equation for the 5TE sensor can be reliably used under field conditions to estimate θ of irrigated clayey soils up to an apparent electrical conductivity of 1.7dSm−1.

Suggested Citation

  • Visconti, Fernando & de Paz, José Miguel & Martínez, Delfina & Molina, Mª José, 2014. "Laboratory and field assessment of the capacitance sensors Decagon 10HS and 5TE for estimating the water content of irrigated soils," Agricultural Water Management, Elsevier, vol. 132(C), pages 111-119.
  • Handle: RePEc:eee:agiwat:v:132:y:2014:i:c:p:111-119
    DOI: 10.1016/j.agwat.2013.10.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377413002758
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2013.10.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Varble, J.L. & Chávez, J.L., 2011. "Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado," Agricultural Water Management, Elsevier, vol. 101(1), pages 93-106.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Jian & Li, Xin & Zhang, Zhenggui & Li, Xiaofei & Han, Yingchun & Feng, Lu & Yang, Beifang & Wang, Guoping & Lei, Yaping & Xiong, Shiwu & Xin, Minghua & Wang, Zhanbiao & Li, Yabing, 2022. "Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data," Agricultural Water Management, Elsevier, vol. 269(C).
    2. 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).
    3. Wenjing Yang & Yibo Wang & Chansheng He & Xingyan Tan & Zhibo Han, 2019. "Soil Water Content and Temperature Dynamics under Grassland Degradation: A Multi-Depth Continuous Measurement from the Agricultural Pastoral Ecotone in Northwest China," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    4. Kyoungchul KIM & Jaeuk SIM & Tae-Hyung KIM, 2017. "Evaluations of the effects of soil properties and electrical conductivity on the water content reflectometer calibration for landfill cover soils," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 12(1), pages 10-17.
    5. Hajdu, Istvan & Yule, Ian & Bretherton, Mike & Singh, Ranvir & Hedley, Carolyn, 2019. "Field performance assessment and calibration of multi-depth AquaCheck capacitance-based soil moisture probes under permanent pasture for hill country soils," Agricultural Water Management, Elsevier, vol. 217(C), pages 332-345.

    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. Pascual-Seva, Núria & San Bautista, Alberto & López-Galarza, Salvador & Maroto, José Vicente & Pascual, Bernardo, 2018. "Influence of different drip irrigation strategies on irrigation water use efficiency on chufa (Cyperus esculentus L. var. sativus Boeck.) crop," Agricultural Water Management, Elsevier, vol. 208(C), pages 406-413.
    2. Hajdu, Istvan & Yule, Ian & Bretherton, Mike & Singh, Ranvir & Hedley, Carolyn, 2019. "Field performance assessment and calibration of multi-depth AquaCheck capacitance-based soil moisture probes under permanent pasture for hill country soils," Agricultural Water Management, Elsevier, vol. 217(C), pages 332-345.
    3. Sharma, Kiran & Irmak, Suat & Kukal, Meetpal S., 2021. "Propagation of soil moisture sensing uncertainty into estimation of total soil water, evapotranspiration and irrigation decision-making," Agricultural Water Management, Elsevier, vol. 243(C).
    4. Arias, María & Notarnicola, Claudia & Campo-Bescós, Miguel Ángel & Arregui, Luis Miguel & Álvarez-Mozos, Jesús, 2023. "Evaluation of soil moisture estimation techniques based on Sentinel-1 observations over wheat fields," Agricultural Water Management, Elsevier, vol. 287(C).
    5. Singh, Jasreman & Ge, Yufeng & Heeren, Derek M. & Walter-Shea, Elizabeth & Neale, Christopher M.U. & Irmak, Suat & Woldt, Wayne E. & Bai, Geng & Bhatti, Sandeep & Maguire, Mitchell S., 2021. "Inter-relationships between water depletion and temperature differential in row crop canopies in a sub-humid climate," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Singh, J. & Lo, T. & Rudnick, D.R. & Dorr, T.J. & Burr, C.A. & Werle, R. & Shaver, T.M. & Muñoz-Arriola, F., 2018. "Performance assessment of factory and field calibrations for electromagnetic sensors in a loam soil," Agricultural Water Management, Elsevier, vol. 196(C), pages 87-98.
    7. Younsuk Dong & Steve Miller & Lyndon Kelley, 2020. "Performance Evaluation of Soil Moisture Sensors in Coarse- and Fine-Textured Michigan Agricultural Soils," Agriculture, MDPI, vol. 10(12), pages 1-11, December.

    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:eee:agiwat:v:132:y:2014:i:c:p:111-119. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.