Paired Characterization and Preliminary Correction of Low-Cost Soil Moisture Sensors for Wireless Sensor Network Application

Article Preview

Abstract:

In order to fulfill the need of minimizing sensor cost and characterizing sensor agricultural application for the promising wireless sensor network technology, this paper evaluates a pair of SMC sensors (EC-5 and 5TE) under some laboratory experiments which is based on a standardized sensor characterization methodology using liquid medium with a known standard water content. The results showed that the electronics of the EC-5 and the 5TE are sensitive to temperature, electric conductivity and pH variations and it is concluded that both the 5TE sensor and the EC-5 sensor are suitable for wireless network applications. Moreover, the results of this paper also suggested that the effects of temperature, electric conductivity and pH on the sensor measurement ability have to be compensated using the appropriate correction functions. Future work will focus on the field application of these sensors and their correction effects in more detail to derive more general correction functions.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

1805-1809

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhen Li. Wireless Signal Propagation Modeling and System Design fir Soil Property Monitoring WSN. Doctoral Dissertation. (2009) South China Agricultural University, GuangZhou, China.

Google Scholar

[2] H.R. Bogena., J.A. Huisman, C. Oberdo¨rster et al. Evaluation of a low-cost soil water content sensor for wireless network applications [J]. Journal of Hydrology (2007) 344, 32–42.

DOI: 10.1016/j.jhydrol.2007.06.032

Google Scholar

[3] J.P. Wigneron, J.C. Calvet, T. Pellarin et al. Retrieving near-surface soil moisture from microwave radiometric observations: current status and future plans [J]. Rem. Sens. Environ. (2003) 854, 489–506.

DOI: 10.1016/s0034-4257(03)00051-8

Google Scholar

[4] A. Lo¨w, R. Ludwig, W. Mauser. Derivation of surface soil moisture from ENVISAT ASAR wide swath and image mode data in agricultural areas [C]. IEEETrans. Geosci. RemoteSens. (2006) 444, 889–899.

DOI: 10.1109/tgrs.2005.863858

Google Scholar

[5] J.P. Walker, P.R. Houser, G.R. Willgoose. Active microwave remote sensing for soil moisture measurement: a field evaluation using ERS-2 [C]. Hydrol. Proc. (2004) 1811, 1975–1997.

DOI: 10.1002/hyp.1343

Google Scholar

[6] S. Lambot, L. Weihermu¨ller, J.A. Huisman et al. Analysis of air-launched ground-penetrating radar techniques to measure the soil surface water content [J]. Water Resour. (2006) Res. 42, W11403. doi:10.1029/ 2006WR005097.

DOI: 10.1029/2006wr005097

Google Scholar

[7] K. Schulz, R. Seppelt, E. Zehe et al. Importance of spatial structures in advancing hydrological sciences [J]. Water Resour. (2006) Res. 42, W03S03. doi:10.1029/ 2005WR004301.

DOI: 10.1029/2005wr004301

Google Scholar

[8] R. Cardell-Oliver, K. Smettem, M. Kranz et al. A reactive soil moisture sensor network: design and field evaluation. Inter. J. Distribut [J]. Sensor Networks. (2005) 12, 149–162.

DOI: 10.1080/15501320590966422

Google Scholar

[9] G.C. Topp, J.L. Davis, A.P. Annan. Electromagnetic determination of soil water content: measurements in coaxial transmission lines [J]. Water Resour. Res. (1980) 16, 574–582.

DOI: 10.1029/wr016i003p00574

Google Scholar

[10] S.B. Jones, J.M. Jr. Blonquist, D.A. Robinson. Standardizing characterization of electromagnetic water content sensors. Part1. Methodology [J]. Vadose Zone J. (2005) 4, 1048–1058.

DOI: 10.2136/vzj2004.0140

Google Scholar

[11] J.M. Jr. Blonquist, S.B. Jones, D.A. Robinson. Standardizing characterization of electromagnetic water content sensors. Part2. Evaluation of seven sensing systems [J]. Vadose Zone J. (2005) 4, 1059–1069.

DOI: 10.2136/vzj2004.0141

Google Scholar