Intelligent control system for clonal micro-propagation of plants

Abstract

The management of clonal micropropagation is an urgent topic in modern biotechnology and agriculture. This direction is a method of propagating plant materials based on the cloning of genetically identical plants. This process allows for the preservation and use of valuable plants without changing their genetic structure, ensuring high stability and quality of the material. The selection of an optimal nutrient medium for clonal micropropagation is one of the most important tasks faced by researchers and specialists in plant biotechnology. When selecting a nutrient medium, its optimal composition may depend on the specific genus, species, and variety of the plant, as well as on the stage of its development. To solve this problem, it is necessary to conduct research and determine the optimal conditions for a specific type of clonal micropropagation, which requires a lot of time and effort. For more effective selection and analysis of the nutrient medium, a clonal micropropagation management system is needed, which will offer the most suitable nutrient medium for a particular plant and analyze the dynamics of its growth from the selected nutrient medium. The purpose of this work is to develop an intelligent system of clonal micropropagation, where information about the plant, the nutrient medium, and the parameters of plant development act as input parameters. Within the framework of the article, the author focused on the consideration of the functional, informational, behavioral model, and the model of intelligent system components. Due to the implementation of these system models, the user has the opportunity to obtain information about the optimal nutrient medium for the selected plant, visualize plant development according to the specified data, as well as assess plant development according to the optimal and specified nutrient medium.