Non-contact Assessment of Apple Condition using Magnetic Induction Spectroscopy: Preliminary Results and Indications

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Abstract

Bioimpedance spectroscopy is the electrical impedance of a biological sample measured over a range of different frequencies. Over the kHz to MHz range, the characteristic shape of the spectra is denoted as the β dispersion, and is the result of the polarisation of cell boundaries presenting a capacitance that contributes to the overall flow of electrical current in the sample. This implies that the curve of the dispersion could be a marker for breakdown behaviours and cell vitality within the fruit, as variations in the cell walls (looseness or cell death) will present different overall capacitances. In this paper, we present some early results exploring the relation between the bioimpedance spectra and variations in the fruit quality of apples, caused by different growing conditions, irrigation, stress, and injury. We use a novel measurement technology termed Magnetic Induction Spectroscopy which uses magnetic fields and induced eddy-currents to ascertain a relative conductivity measure over a frequency range from 50 kHz to 2.5 MHz. The significant advantage of this approach is that it is non-contact, opening the possibility of future in-field or process-line operation.
Original languageEnglish
Pages135-139
Number of pages5
Publication statusPublished - 3 Dec 2021
EventIEEE International Workshop on Metrology for Agriculture and Forestry - University of Trento and Free University of Bozen-Bolzano, Trento-Bolzano, Italy
Duration: 3 Nov 20215 Nov 2021

Conference

ConferenceIEEE International Workshop on Metrology for Agriculture and Forestry
Abbreviated titleMetroAgriFor
Country/TerritoryItaly
CityTrento-Bolzano
Period3/11/215/11/21

Keywords

  • bioimpedance, magnetic induction, food quality, non-destructive testing, eddy-currents

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  • Electromagnetic Sensing Group

    Peyton, A., Fletcher, A., Daniels, D., Conniffe, D., Podd, F., Davidson, J., Anderson, J., Wilson, J., Marsh, L., O'Toole, M., Watson, S., Yin, W., Regan, A., Williams, K., Rana, S., Khalil, K., Hills, D., Whyte, C., Wang, C., Hodgskin-Brown, R., Dadkhahtehrani, F., Forster, S., Zhu, F., Yu, K., Xiong, L., Lu, T., Zhang, L., Lyu, R., Zhu, R., She, S., Meng, T., Pang, X., Zheng, X., Bai, X., Zou, X., Ding, Y., Shao, Y., Xia, Z. & Zhang, Z.

    1/10/04 → …

    Project: Research

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