Plant stem tissue modeling and parameter identification using metaheuristic optimization algorithms

Mohamed S Ghoneim, Samar I Gadallah, Lobna A Said, Ahmed Eltawil, Ahmed G Radwan, Ahmed H Madian

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Bio-impedance non-invasive measurement techniques usage is rapidly increasing in the agriculture industry. These measured impedance variations reflect tacit biochemical and biophysical changes of living and non-living tissues. Bio-impedance circuit modeling is an effective solution used in biology and medicine to fit the measured impedance. This paper proposes two new fractional-order bio-impedance plant stem models. These new models are compared with three commonly used bio-impedance fractional-order circuit models in plant modeling (Cole, Double Cole, and Fractional-order Double-shell). The two proposed models represent the characterization of the biological cellular morphology of the plant stem. Experiments are conducted on two samples of three different medical plant species from the family Lamiaceae, and each sample is measured at two inter-electrode spacing distances. Bio-impedance measurements are done using an electrochemical station (SP150) in the range of 100 Hz to 100 kHz. All employed models are compared by fitting the measured data to verify the efficiency of the proposed models in modeling the plant stem tissue. The proposed models give the best results in all inter-electrode spacing distances. Four different metaheuristic optimization algorithms are used in the fitting process to extract all models parameter and find the best optimization algorithm in the bio-impedance problems.
Original languageEnglish (US)
JournalScientific reports
Issue number1
StatePublished - Mar 10 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-04-26
Acknowledgements: Supported by the Egyptian Academy of Science, Research, and Technology (ASRT) under Grant of JESOR project #5280

ASJC Scopus subject areas

  • General


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