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

Misra, R.K., 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: 113-118. doi:10.1016/j.jhydrol.2011.06.009

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Misra, R.K.
Padhi, J.
Payero, J.O.
Title A calibration procedure for load cells to improve accuracy of mini-lysimeters in monitoring evapotranspiration
Journal name Journal of Hydrology   Check publisher's open access policy
ISSN 0022-1694
Publication date 2011-08-18
Sub-type Article (original research)
DOI 10.1016/j.jhydrol.2011.06.009
Volume 406
Issue 1-2
Start page 113
End page 118
Total pages 6
Place of publication Netherlands
Publisher Elsevier BV
Collection year 2012
Language eng
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.
Keyword Crops
ET
Evapotranspiration
Irrigation
Load cell
Lysimeter
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
Queensland Alliance for Agriculture and Food Innovation
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 99 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 20 Oct 2011, 13:06:37 EST by Dr Jose Payero Rodriguez on behalf of Qld Alliance for Agriculture and Food Innovation