Plant Tissue Modelling Using Power-Law Filters

Abstract

Impedance spectroscopy has became an essential non-invasive tool for quality assessment measurements of the biochemical and biophysical changes in plant tissues. The electrical behaviour of biological tissues can be captured by fitting its bio-impedance data to a suitable circuit model. This paper investigates the use of power-law filters in circuit modelling of bio-impedance. The proposed models are fitted to experimental data obtained from eight different fruit types using a meta-heuristic optimization method (the Water Cycle Algorithm (WCA)). Impedance measurements are obtained using a Biologic SP150 electrochemical station, and the percentage error between the actual impedance and the fitted models' impedance are reported. It is found that a circuit model consisting of a combination of two second-order power-law low-pass filters shows the least fitting error.

Code and data availability

The paper reports bio-impedance measurements of eight fruit types fitted with power-law filter models using the Water Cycle Algorithm, but the supplied blocks contain no data availability statement, no public dataset deposit, and no author code/workflow URL. The measured impedance data and Matlab post-processing code (

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