Abstract
Application of electrophysical factors for pre sowing treatment of seeds belongs to relevant and intensively developing branches of electric technologies used in agro-industrial complex. A vast volume of preliminary experimental research that have to be carried out in order to study the effect of various disturbances on plant development process is one of the major problems that restrain the progress in active implementation of such technologies. That is why developing mathematical and computational models of seed as a biological object that could describe the change of response of seeds and plants to external excitations could simplify solving this problem. It has been shown that the principles of model development for biological objects can be applied to developing those of grain seed, as well. One of the basic principles that control functioning of biological systems is hierarchical one. Researchers commonly distinguish among three levels of hierarchical links within an object. Each of these levels has its particular task in compliance with certain target function of energy-related nature. In accordance with this assumption, structure diagram has been developed for the complex of elementary control systems belonging to one and the same level. Adaptive random search procedure was chosen as the functioning algorithm for grain seed model. A draft operating diagram for the model of biological object has been designed that has three control levels. Each level performs its functions and operates in accordance with its own relativeness criterion. The developed operating diagram for the model for response of seed to various external factors makes it possible to describe grain seed as a self-organizing adaptive system and to identify hierarchical levels of development for system response based on available experimental data enabling to simulate the behavior of grain seeds in the course of studying their response to external excitations.
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Vasilyev, A.N., Vasilyev, A.A., Dzhanibekov, A.K., Samarin, G.N. (2020). On the Development of Model for Grain Seed Reaction on Pre Sowing Treatment. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_8
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