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Performance analysis of dielectric soil moisture sensor

Author

Listed:
  • Iftikhar Ahmed Saeed

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Minjuan Wang

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Yanzhao Ren

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Qinglan Shi

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Muhammad Hammad Malik

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Sha Tao

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

  • Qiang Cai

    (Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, P.R. China)

  • Wanlin Gao

    (College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China)

Abstract

Soil moisture (SM) varies greatly in the soil profile. We developed a low-cost sensor for SM monitoring at three vertical depths. The sensor function was based on dielectric theory to monitor SM. Three linear calibration models were established using different soils. The sensor for each depth showed acceptable statistics of validations. The linear fit coefficient of determination (R2) ranged from 0.95 to 0.99. Root mean square error (RMSE) ranged from 1.35 to 4.30. The sensor performed consistently for at least 4 months, and is suitable for continuous monitoring of in situ SM and irrigation scheduling.

Suggested Citation

  • Iftikhar Ahmed Saeed & Minjuan Wang & Yanzhao Ren & Qinglan Shi & Muhammad Hammad Malik & Sha Tao & Qiang Cai & Wanlin Gao, 2019. "Performance analysis of dielectric soil moisture sensor," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 14(4), pages 195-199.
    • Handle: RePEc:caa:jnlswr:v:14:y:2019:i:4:id:74-2018-swr
    DOI: 10.17221/74/2018-SWR
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    References listed on IDEAS

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    1. Soulis, Konstantinos X. & Elmaloglou, Stamatios & Dercas, Nicholas, 2015. "Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems," Agricultural Water Management, Elsevier, vol. 148(C), pages 258-268.
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