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Evaluation of DualEM-II sensor for soil moisture content estimation in the potato fields of Atlantic Canada

Author

Listed:
  • Aitazaz A. Farooque

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada)

  • Mahnaz Zare

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada)

  • Farhat Abbas

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada
    Government College University, Faisalabad, Pakistan)

  • Qamar Zaman

    (Department of Engineering, Agricultural Campus, Dalhousie University, Truro, Canada)

  • Melanie Bos

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada)

  • Travis Esau

    (Department of Engineering, Agricultural Campus, Dalhousie University, Truro, Canada)

  • Bishnu Acharya

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada)

  • Arnold W. Schumann

    (Citrus Research and Education Center, University of Florida, Lake Alfred, USA)

Abstract

The conventional gravimetric methods of estimating soil moisture content (θ) are laborious, time-consuming, and destructive to agricultural fields. We evaluated the performance of DualEM-II sensor in non-destructive way of θ prediction and for predicting θ variations within potato fields in Atlantic Canada. Values of θ were measured from four potato fields in New Brunswick and Prince Edward Island using a pre-calibrated (R2 = 0.98) time domain reflectometry (TDR) from root zone of potato tubers under grid sampling arrangements. Horizontal co-planar (HCP) and perpendicular co-planar (PRP) readings were taken using DualEM-II sensor from the same locations of θ measurements. There was a better correlation between PRP and θ (r: 0.64-0.83) was calculated than between HCP and θ (r: 0.41-0.79). There was no significant difference (R2: 0.60-0.69; RMSE (root mean square error): 2.32-4.02) between the θ values measured with TDR (θM) and those predicted with DualEM-II (θP) confirming that the use of electromagnetic induction technique, evaluated during this study, is labor saving, quick, non-destructive, and accurate and can be considered a precision agriculture tool for efficiently managing soil water in potato fields.

Suggested Citation

  • Aitazaz A. Farooque & Mahnaz Zare & Farhat Abbas & Qamar Zaman & Melanie Bos & Travis Esau & Bishnu Acharya & Arnold W. Schumann, 2019. "Evaluation of DualEM-II sensor for soil moisture content estimation in the potato fields of Atlantic Canada," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 65(6), pages 290-297.
    • Handle: RePEc:caa:jnlpse:v:65:y:2019:i:6:id:72-2019-pse
    DOI: 10.17221/72/2019-PSE
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    References listed on IDEAS

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    1. Anh Tuan LE & Zoltán PÉK & Sándor TAKÁCS & András NEMÉNYI & Lajos HELYES, 2018. "The effect of plant growth-promoting rhizobacteria on yield, water use efficiency and Brix Degree of processing tomato," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 64(11), pages 523-529.
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