Electrical response of plants to environmental stimuli: A short review and perspectives for meteorological applications

Randriamandimbisoa, Mirantsoa Volana; Razafindralambo, Ny Aina Manitra Nany; Fakra, Ali Hamada; Ravoajanahary, Domoina Lucia; Gatina, Jean Claude; Jaffrézic‐Renault, Nicole

doi:10.1016/j.sintl.2020.100053

Cited by 10 publications

(3 citation statements)

References 92 publications

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“…• in the absence of actions on the part of farmers, humai and pigs will cover the ground with a dense "carpet", closing the rest of the plantings. Analysis of theoretical and experimental studies on the application of electrical action on living organisms and plant tissues [4][5][6][7][8][9][10][11][12][13][14][15], as well as discharges of electric current pulses for processing CMC based on the technology proposed by us, made it possible to formulate the requirements for the design of a mobile setup and electrodes, forming sown areas, which are as follows:…”

Section: Methodsmentioning

confidence: 99%

Study of a mobile electric installation for the destruction of permanent rhizous weeds

Tashpulatov

2023

IOP Conf. Ser.: Earth Environ. Sci.

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This article presents the results of theoretical and experimental studies on the destruction of perennial rhizomatous weeds using the electric method. The biological features, vegetation, growth and development of weeds humai and pygmy beetle as an object of processing have been studied. The layout of the equipment for the installation for electropulse processing, the procedure for implementing the work process and the results of sexual research are described.

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Section: Methodsmentioning

confidence: 99%

Study of a mobile electric installation for the destruction of permanent rhizous weeds

Tashpulatov

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Например, измерение разности потенциалов между корнями и черешком листа предлагается применять для мониторинга физиологических реакций деревьев на содержание влаги в почве [15]. Суточные колебания распределения потенциала в стволе дерева, летом --------------------------------------------------------------------Лесотехнический журнал 3/2023 33 связанные также с сокодвижением, изучались в работе [16]. Сравнительно недавно выяснилось, что при перепаде температуры окружающей среды в древесине стволов деревьев формируется разность потенциалов, величина которой зависит от их жизненного состояния и влажности [17][18][19].…”

Section: естественные науки и лесunclassified

Potential difference in trunks of silver birch (Betula pendula Roth): features of relaxation processes at changes in ambient temperature

Matveev,

Kamalova,

Lisitsyn

et al. 2023

Forestry Engineering Journal

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The daily dynamics of the potential difference arising in the wood of the trunk of the hanging birch (Betula pendula Roth) at ambient temperature changes makes it possible to simulate the dynamics of the processes of redistribution of salt ions in the pores. An analysis of the results of measuring the potential difference in the wood of the model tree trunk showed that its dynamics is of a relaxation nature and tends to a certain stationary value. On the basis of the data of full-scale measurements of the potential difference in the framework of classical electrodynamics, a formalized model of the dynamics of the relative potential difference was constructed, containing three parameters. As a result of a computational experiment using an optimization procedure based on the Nash-Sutcliffe criterion, the parameters of the relaxation process of formation of a stable potential difference along the birch trunk caused by a change in the ambient temperature were calculated. It was revealed that the dynamic balance of the charge redistribution flows is determined by the factors of stimulating and stabilizing processes inside the trunks of woody plants. It is shown that a competent combination of the results of monitoring the potential difference in tree trunks and a computational experiment will make it possible to form an extensive database of parameters for the processes of formation of a stable dynamic equilibrium of salt ion fluxes in them, depending on the characteristics of growth, daily and seasonal changes in ambient temperature and soil composition. The study of changes in the state of trees due to the response to the impact of various environmental factors makes it possible to expand the range of tools for predicting the occurrence of catastrophic situations in forest ecosystems.

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“…All the physiological processes and biochemical alterations that occur during ripening can attribute to each stage "electrical signatures, " that arise from the movement of ions, electrons, and protons in the cells and tissues (de Toledo et al, 2019). In addition to classic hydraulic and chemical signals, such as phytohormones and reactive oxygen species (ROS), it is known that electrical signals perform several functions in plants (Białasek et al, 2017;Gao et al, 2019;Farmer et al, 2020;Volana Randriamandimbisoa et al, 2020). They are generated by the transient imbalance in membrane potential, caused by the influx/efflux of ions and H + by ion channels, plasma membrane transporters and electrogenic pumps (Fromm and Lautner, 2007;Zimmermann et al, 2009;Sukhov et al, 2014;Vodeneev et al, 2016;de Toledo et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for Automatic Classification of Tomato Ripening Stages Using Electrophysiological Recordings

Reissig

Oliveira

Costa

et al. 2021

Front. Sustain. Food Syst.

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The physiological processes underlying fruit ripening can lead to different electrical signatures at each ripening stage, making it possible to classify tomato fruit through the analysis of electrical signals. Here, the electrical activity of tomato fruit (Solanum lycopersicum var. cerasiforme) during ripening was investigated as tissue voltage variations, and Machine Learning (ML) techniques were used for the classification of different ripening stages. Tomato fruit was harvested at the mature green stage and placed in a Faraday's cage under laboratory-controlled conditions. Two electrodes per fruit were inserted 1 cm apart from each other. The measures were carried out continuously until the entire fruits reached the light red stage. The time series were analyzed by the following techniques: Fast Fourier Transform (FFT), Wavelet Transform, Power Spectral Density (PSD), and Approximate Entropy. Descriptive analysis from FFT, PSD, and Wavelet Transform were used for PCA (Principal Component Analysis). Finally, ApEn, PCA1, PCA2, and PCA3 were obtained. These features were used in ML analyses for looking for classifiable patterns of the three different ripening stages: mature green, breaker, and light red. The results showed that it is possible to classify the ripening stages using the fruit's electrical activity. It was also observed, using precision, sensitivity, and F1-score techniques, that the breaker stage was the most classifiable among all stages. It was found a more accurate distinction between mature green × breaker than between breaker × light red. The ML techniques used seem to be a novel tool for classifying ripening stages. The features obtained from electrophysiological time series have the potential to be used for supervised training, being able to help in more accurate classification of fruit ripening stages.

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Electrical response of plants to environmental stimuli: A short review and perspectives for meteorological applications

Cited by 10 publications

References 92 publications

Study of a mobile electric installation for the destruction of permanent rhizous weeds

Study of a mobile electric installation for the destruction of permanent rhizous weeds

Potential difference in trunks of silver birch (Betula pendula Roth): features of relaxation processes at changes in ambient temperature

Machine Learning for Automatic Classification of Tomato Ripening Stages Using Electrophysiological Recordings

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