Agriculture (Sep 2021)

Moisture–Conductivity Calibration for Electrical Imaging of Horticultural Substrate

  • Peng-Fei Zhao,
  • Li-Feng Fan,
  • Yong-Qian Wang,
  • Yang Li,
  • Nan Wang,
  • Zhong-Yi Wang,
  • Qiang Cheng,
  • Lan Huang

DOI
https://doi.org/10.3390/agriculture11090899
Journal volume & issue
Vol. 11, no. 9
p. 899

Abstract

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Electrical imaging studies of laboratory- and small-scale plant root zones are gaining increasing attention. However, for essential moisture–conductivity calibrations on numerous substrate columns with variability in dry density, the use of one conventional strategy is relatively laborious or complicated. Thus, in this work, a relatively convenient calibration method is presented, and the objective is to identify its feasibility and potential to assess the effects of factors (e.g., volumetric water content (VWC), and dry density) on conductivity and establish necessary moisture–conductivity curves for porous materials (e.g., soils and substrates). In the method, with a specially designed fixture, variable VWCs, dry densities and related complex conductivities of the samples can be easily acquired through static compaction. The results show that the in-phase conductivity (or magnitude of conductivity) increases with the increasing VWC or dry density, primarily owing to the increase in the dominant pore water connectivity. Moreover, the effect of dry density on conductivity is relatively smaller than that of VWC. Thus, for the substrates at dry densities with certain variability, good power law relations (R2 ≥ 0.99) between in-phase conductivity (or magnitude of conductivity) and VWC at different frequencies can be established. Overall, the proposed approach is practical, promising, and relatively time- and labor-saving.

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