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Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture

Maxime Van Haeverbeke (UGent) , Bernard De Baets (UGent) and Michiel Stock (UGent)
(2023) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 213.
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Abstract
The analysis of a Distribution of Relaxation Times (DRT) has proven to be extremely effective for the study of electrochemical power sources. Biological systems are non-inductive, making them very suitable candidates for DRT analysis, as demonstrated by recent research. In this work, we conduct the first evaluation of DRT analysis in agricultural applications. We revisit published equivalent electrical circuit parameter data to evaluate the potential of DRT analysis for various plant electrochemical impedance spectroscopy applications. We investigate the advantages and limitations of adopting this emerging analysis method as an impedance modelling strategy for the electrochemical characterisation of plants. We illustrate its promise by comparing it with the standard methods using simulations and measurements published in the literature on fruit ripening, plant stress, and post-harvest processing of agricultural products. This study highlights the potential of DRT analysis as an effective modelling strategy for impedimetric system characterisation in agriculture, with promising advantages over standard techniques.
Keywords
Electrochemical Impedance Spectroscopy, Distribution of Relaxation Times, Plant physiology, Agriculture

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Citation

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MLA
Van Haeverbeke, Maxime, et al. “Evaluating the Potential of Distribution of Relaxation Times Analysis for Plant Agriculture.” COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 213, 2023, doi:10.1016/j.compag.2023.108249.
APA
Van Haeverbeke, M., De Baets, B., & Stock, M. (2023). Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 213. https://doi.org/10.1016/j.compag.2023.108249
Chicago author-date
Van Haeverbeke, Maxime, Bernard De Baets, and Michiel Stock. 2023. “Evaluating the Potential of Distribution of Relaxation Times Analysis for Plant Agriculture.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 213. https://doi.org/10.1016/j.compag.2023.108249.
Chicago author-date (all authors)
Van Haeverbeke, Maxime, Bernard De Baets, and Michiel Stock. 2023. “Evaluating the Potential of Distribution of Relaxation Times Analysis for Plant Agriculture.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 213. doi:10.1016/j.compag.2023.108249.
Vancouver
1.
Van Haeverbeke M, De Baets B, Stock M. Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture. COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023;213.
IEEE
[1]
M. Van Haeverbeke, B. De Baets, and M. Stock, “Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture,” COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 213, 2023.
@article{01HBAWQBX9BC15C4Z8V0T17MH4,
  abstract     = {{The analysis of a Distribution of Relaxation Times (DRT) has proven to be extremely effective for the study of electrochemical power sources. Biological systems are non-inductive, making them very suitable candidates for DRT analysis, as demonstrated by recent research. In this work, we conduct the first evaluation of DRT analysis in agricultural applications. We revisit published equivalent electrical circuit parameter data to evaluate the potential of DRT analysis for various plant electrochemical impedance spectroscopy applications. We investigate the advantages and limitations of adopting this emerging analysis method as an impedance modelling strategy for the electrochemical characterisation of plants. We illustrate its promise by comparing it with the standard methods using simulations and measurements published in the literature on fruit ripening, plant stress, and post-harvest processing of agricultural products. This study highlights the potential of DRT analysis as an effective modelling strategy for impedimetric system characterisation in agriculture, with promising advantages over standard techniques.}},
  articleno    = {{108249}},
  author       = {{Van Haeverbeke, Maxime and De Baets, Bernard and Stock, Michiel}},
  issn         = {{0168-1699}},
  journal      = {{COMPUTERS AND ELECTRONICS IN AGRICULTURE}},
  keywords     = {{Electrochemical Impedance Spectroscopy,Distribution of Relaxation Times,Plant physiology,Agriculture}},
  language     = {{eng}},
  pages        = {{16}},
  title        = {{Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture}},
  url          = {{http://doi.org/10.1016/j.compag.2023.108249}},
  volume       = {{213}},
  year         = {{2023}},
}
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