Freezing resistance evaluation of rose stems during frost dehardening using electrical impedance tomography
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In this article, the freezing resistance of floribunda roses (Rosa Floribunda) during frost dehardening using the EIT technique to identify a new method for rapid and non-destructive measurement of plant freezing resistance.Abstract:
Electrical impedance tomography (EIT) has rarely been applied in plant science, particularly to study plant resistance to abiotic and biotic stresses. In this study, we evaluated the freezing resistance of floribunda roses (Rosa Floribunda) during frost dehardening using the EIT technique to identify a new method for rapid and non-destructive measurement of plant freezing resistance. The current was the excitation source, the boundary voltage value was measured, and then the boundary voltage reconstructed value was formed. Using an imaging algorithm, the two-dimensional (2D) distribution of impedance or impedance variation was reconstructed. The EIT reconstructed values decreased obviously with the decline in freezing temperatures. The EIT reconstructed values of stems had the best fit to the logistic equation, and subsequently, the semi-lethal temperatures were calculated. The freezing resistance results evaluated using EIT reconstructed values were linearly correlated with the results of the traditional electrolyte leakage (EL) method (r = 0.93, P < 0.01). In conclusion, after freezing tests, the reconstructed values of EIT images could be used to quantitatively evaluate the freezing resistance of floribunda rose stems. The present study provides a reference for the further application of the EIT technique for non-destructive and rapid detection of plant freezing resistance.read more
Citations
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A survey of image-based computational learning techniques for frost detection in plants
TL;DR: A comprehensive survey of the state-of-the-art methods applied to detect and analyse frost stress in plants is presented in this paper , where three broad computational learning approaches (i.e., statistical, traditional machine learning, and deep learning) are identified.
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A new portable electrical impedance tomography system for measuring two-dimensional stem water content distribution
TL;DR: In this paper , a low-cost and portable electrical impedance tomography (EIT) system was developed to measure 2D StWC distributions in vivo, and the performance of the EIT system was tested in a laboratory setting.
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