Multiparametric Variety Models in Digital Twin of Plant for Winter Wheat

The article describes the development of variety models for winter wheat varieties for the digital twin of plants - software for production process simulation of crops based on environmental factors and agronomic characteristics of the crops. Based on the previously developed ontology of crop cultivation, which describes the fundamental concepts and relationships of the production process for any crop, this article provides a description and principles of variety models of winter wheat. These models take into account the genetic characteristics influencing plants under different factors, as well as the specifics of their development, enabling the calculation of an expanding set of parameters for each phenological stage of the wheat crop. The application of such variety models is able due to the existing architecture of the multi-agent model of the digital twin of plants (DTP) and significantly expands the scope and functionality of DTP in terms of predicting the state of crops. Specific parameters of the variety model for the winter wheat variety “Viyuga” are provided, which estimates susceptibility of this variety to various factors. The results of developing variety models are presented, and the prospects for their further application in the DTP are discussed.