A calibration procedure for load cells to improve accuracy of mini-lysimeters in monitoring evapotranspiration

Misra, R. K. and Padhi, J. and Payero, J. O. (2011) A calibration procedure for load cells to improve accuracy of mini-lysimeters in monitoring evapotranspiration. Journal of Hydrology, 406 (1-2). pp. 113-118. ISSN 0022-1694

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Abstract

We used twelve load cells (20 kg capacity) in a mini-lysimeter system to measure evapotranspiration simultaneously from twelve plants growing in separate pots in a glasshouse. A data logger combined with a multiplexer was used to connect all load cells with the full-bridge excitation mode to acquire load-cell signal. Each load cell was calibrated using fixed load within the range of 0-0.8 times the full load capacity of load cells. Performance of all load cells was assessed on the basis of signal settling time, excitation compensation, hysteresis and temperature. Final calibration of load cells included statistical consideration of these effects to allow prediction of lysimeter weights and evapotranspiration over short-time intervals for improved accuracy and sustained performance. Analysis of the costs for the mini-lysimeter system indicates that evapotranspiration can be measured economically at a reasonable accuracy and sufficient resolution with robust method of load-cell calibration.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted Version deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Rabi Misra
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 06 Sep 2011 02:03
Last Modified: 03 Jul 2013 00:46
Uncontrolled Keywords: crops; evaportranspiration; ET; irrigation; load cell; lysimeter
Fields of Research (FOR2008): 01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
02 Physical Sciences > 0299 Other Physical Sciences > 029901 Biological Physics
10 Technology > 1001 Agricultural Biotechnology > 100101 Agricultural Biotechnology Diagnostics (incl. Biosensors)
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970106 Expanding Knowledge in the Biological Sciences
D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
Identification Number or DOI: doi: 10.1016/j.jhydrol.2011.06.009
URI: http://eprints.usq.edu.au/id/eprint/19588

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