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

  • Aitazaz A. Farooque
  • , Mahnaz Zare
  • , Farhat Abbas
  • , Qamar Zaman
  • , Melanie Bos
  • , Travis Esau
  • , Bishnu Acharya
  • , Arnold W. Schumann

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)290-297
Number of pages8
JournalPlant, Soil and Environment
Volume65
Issue number6
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • irrigation management
  • monitoring water stress
  • precision farming
  • soil variability
  • tuberous crop

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