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Phyto-Irradiation Automatic Control Modeling with Biological Feedback, Based on Fluorescence of Chlorophyll

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Intelligent Computing & Optimization (ICO 2022)

Abstract

When growing plants indoors, the share of electricity consumption for lighting can reach 50%. The use of a phyto-irradiation management system can increase the yield and energy efficiency of production. To implement the automatic phyto-irradiation control, it is necessary to receive information about the physiological condition of plants in time; one of these methods is to measure chlorophyll fluorescence by means of a fluorimeter with a pulse-amplitude modulation. The objective of the present work was to simulate the operation of phyto-irradiation management system with biofeedback with the help of a plant gas exchange measuring system using a multiphase flash fluorimeter and to develop a control algorithm. The plants of day-neutral garden strawberries were selected for research. The parameters of photosynthesis and fluorescence of chlorophyll were measured using the portable photosynthesis system Li-COR Li-6800. It has been found that measurement of the electron transport rate is well suited for assessing the rate of CO2 assimilation; however, it is also necessary to control non-photochemical quenching of chlorophyll fluorescence in order to maintain the photosynthesis at an effective level. Further studies will be aimed at determining the stability of the system when changing the microclimate parameters.

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Correspondence to Alexey Dolgalev .

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Smirnov, A., Dolgalev, A., Burynin, D., Panchenko, V. (2023). Phyto-Irradiation Automatic Control Modeling with Biological Feedback, Based on Fluorescence of Chlorophyll. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_62

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