Next Article in Journal
Use of Biosensors as Alternatives to Current Regulatory Methods for Marine Biotoxins
Previous Article in Journal
Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(11), 9398-9413; doi:10.3390/s91109398

Field Performance of Nine Soil Water Content Sensors on a Sandy Loam Soil in New Brunswick, Maritime Region, Canada

1
Potato Research Centre, 850 Lincoln Road, P.O. Box 20280. Agriculture and Agri-Food Canada, Fredericton, New Brunswick, Canada
2
Faculty of Forestry & Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada
*
Author to whom correspondence should be addressed.
Received: 27 October 2009 / Revised: 10 November 2009 / Accepted: 16 November 2009 / Published: 24 November 2009
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [325 KB, uploaded 21 June 2014]   |  

Abstract

An in situ field test on nine commonly-used soil water sensors was carried out in a sandy loam soil located in the Potato Research Center, Fredericton, NB (Canada) using the gravimetric method as a reference. The results showed that among the tested sensors, regardless of installation depths and soil water regimes, CS615, Trase, and Troxler performed the best with the factory calibrations, with a relative root mean square error (RRMSE) of 15.78, 16.93, and 17.65%, and a r2 of 0.75, 0.77, and 0.65, respectively. TRIME, Moisture Point (MP917), and Gopher performed slightly worse with the factory calibrations, with a RRMSE of 45.76, 26.57, and 20.41%, and a r2 of 0.65, 0.72, and 0.78, respectively, while the Gypsum, WaterMark, and Netafim showed a frequent need for calibration in the application in this region. View Full-Text
Keywords: sensor performance; soil water content sensor; statistical analysis sensor performance; soil water content sensor; statistical analysis
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chow, L.; Xing, Z.; Rees, H.W.; Meng, F.; Monteith, J.; Stevens, L. Field Performance of Nine Soil Water Content Sensors on a Sandy Loam Soil in New Brunswick, Maritime Region, Canada. Sensors 2009, 9, 9398-9413.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top