A Data Acquisition System Based on Outlier Detection Method for Weighing Lysimeters

  • Wenqian Huang
  • Chi Zhang
  • Xuzhang Xue
  • Liping Chen
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 368)

Abstract

The weighing lysimeters provide scientist the basic information for research related to the evapotranspiration, high quality of the collected data from lysimeters is of great significance. However there are many factors that can affect the measurement accuracy of the weighing lysimeter. In this paper, a data acquisition system was developed to collect the data from 24 weighing lysimeters. The calibration process of the load cell was described. An outlier detection method based on the 3-sigma rule and the median filter was proposed to improve the measurement accuracy of the weighing lysimeters. The performance of the proposed method was compared with the method based on Savitzky-Golay filter. Results show that the standard deviations of the 15-point median filter and the 15-point Savitzky-Golay filter applied to the 283 data points were 0.413Kg and 0.422Kg respectively, which means that the performance of the median filter was better than the Savitzky-Golay filter. Moreover the outliers were successfully eliminated using the median filter and were not removed by the Savitzky-Golay filter.

Keywords

Weighing lysimeter outlier detection median filter Savitzky-Golay filter 

References

  1. 1.
    Davie, T.: Fundamentals of hydrology (Routledge 2003), pg. 35 (2003), http://books.google.com/books?id=XAGt03ANojgC&source=gbs_navlinks_s
  2. 2.
    Molden, D., Oweis, T.Y.: Water for food, water for life: A comprehensive assessment of water management in agriculture, pp. 279–310. Earthscan, International Water Management Institute, London, SriLanka (2007)Google Scholar
  3. 3.
    Wu, Y., Luo, J.-Y., Wang, F.: Development and implementation of the intelligent weighing lysimeter system. Research and exploration in laboratory 25(4), 432–434, 438 (2006)Google Scholar
  4. 4.
    Sun, Q., Zhang, W., Gao, L., Zhang, J.: A new weighing type of measuring and controlling system by lysimeter with high precision. Journal of Xi’an University of Technology 15(1), 56–60 (1999)Google Scholar
  5. 5.
    Barani, G.-A., Khanjani, M.J.: A large electronic weighing lysimeter system design and installation. Journal of the Amercican Water Resources Association 38(4), 1053–1060 (2002)CrossRefGoogle Scholar
  6. 6.
    Howell, T.A., McCormick, R.L., Phene, C.J.: Design and Installation of Large Weighing Lysimeters. Transactions of the ASAE 28(1), 106–112, 117 (1985)Google Scholar
  7. 7.
    Sun, Q., Zhang, J., Zhang, W., Gao, L.: Computer measuring and controlling system of high precision balance lysimeter. Journal of Soil Erosion and Soil and Water Conservation 5(5), 80–84 (1999)Google Scholar
  8. 8.
    Yang, X., Shen, B., Zhang, J., Liang, Y.: Computer measure and control of a large high precision lysimeter. Transactions of the CSAE 12(3), 72–76 (1996)Google Scholar
  9. 9.
    Johnson, A., Mathews, T.J., Matthews, G.P., Patel, D., Worsfold, P.J., Andrew, K.N.: High-resolution laboratory lysimeter for automated sampling of tracers through a 0.5m soil block. Journal of Automated Methods & Management in Chemistry 25(2), 43–49 (2003)CrossRefGoogle Scholar
  10. 10.
    Su, M., Li, J., Rao, M.: Estimation of crop coeffcients for sprinkler- irrigated winter wheat and sweet corn using a weighing lysimeter. Transactions of the CSAE 21(8), 25–29 (2005)Google Scholar
  11. 11.
    Niu, Y., Liu, H., Wu, W., Yang, S.: Cucumber transpiration by large-scale weighing lysimeter in solar greenhouse. Transactions of the CSAE 27(1), 52–56 (2011)Google Scholar
  12. 12.
    Liu, C., Zhang, X., Zhang, Y.: Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter. Agricultural and Forest Meteorology 111, 109–120 (2002)CrossRefGoogle Scholar
  13. 13.
    Malone, R.W., Bonta, J.V., Stewardson, D.J., Nelsen, T.: Error Analysis and quality improvement of the Coshocton weighing lysimeters. Transactions of the ASAE 43(2), 271–280 (2000)Google Scholar
  14. 14.
    Payero, J.O., Irmak, S.: Construction, Installation, and Performance of Two Repacked Weighing Lysimeters. Irrigation Science 26, 191–202 (2008)CrossRefGoogle Scholar
  15. 15.
    Yan, J., Li, Y., Deng, Z., Wang, S., Liu, H., Yang, Q., Li, X.: Automatic monitoring system of LG-I weighing lysimeter. Transactions of the CSAE 25(S2), 43–48 (2009)Google Scholar
  16. 16.
    Meshkat, M., Warner, R.C., Walton, L.R.: Lysimeter design, construction and instrumentation for assessing evaporation from a large undisturbed soil monolith. Applied Engineering in Agriculture 15(4), 303–308 (1999)Google Scholar
  17. 17.
    Howell, T.A., Schneider, A.D., Dusek, D.A., Marek, T.H., Steiner, J.L.: Calibration and scale performance of Bushland weighing lysimeters. Transactions of the ASAE 38(4), 1019–1024 (1995)Google Scholar
  18. 18.
    Malone, R.W., Stewardson, D.J., Bonta, J.V., Nelsen, T.: Calibration and quality control of the Coshocton weighing lysimeters. Transactions of the ASAE 42(3), 701–712 (1999)Google Scholar
  19. 19.
    Vaughan, P.J., Trout, T.J., Ayars, J.E.: A processing method for weighing lysimeter data and comparison to micrometeorological ETo predictions. Agricultural Water Management 88, 141–146 (2007)CrossRefGoogle Scholar
  20. 20.
    Vaughan, P.J., Ayars, J.E.: Noise Reduction Methods for Weighing Lysimeters. Journal of Irrigation and Drainage Engineering 135(2), 235–240 (2009)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Wenqian Huang
    • 1
    • 2
  • Chi Zhang
    • 1
    • 2
  • Xuzhang Xue
    • 1
    • 2
  • Liping Chen
    • 1
    • 2
  1. 1.Beijing Research Center of Intelligent Equipment for AgricultureBeijing Academy of Agriculture and Forestry SciencesChina
  2. 2.National Research Center of Intelligent Equipment for AgricultureChina

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