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

6 Citations (Scopus)


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


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


Dive into the research topics of 'Evaluation of DualEM-II sensor for soil moisture content estimation in the potato fields of Atlantic Canada'. Together they form a unique fingerprint.

Cite this