Ontological Model of Wheat Production Process for Digital Twin of Plant

The article describes a digital twin of plant implemented as an ontologically configurable multi-agent system. Enabling the planning and simulation of the production process of crops, digital twin of plant considers flexible input crop and weather data. The architecture of the digital twin of plant includes a knowledge base for describing classes of concepts and relationships between them, as well as domain-specific rules for calculating the digital twin of plant. For this purpose, an ontological model of the crop production process was developed, which allows for changing the ontological model of a specific crop and variety, including the composition of growth rules and their conditions of applicability. Ontological model allows to change the crops and varieties online without reprogramming the digital twin, as well as accounting of new agronomic or technological factors. Digital twin of plant can be applied as a real time decision-support service for farmers. The knowledge base of the digital twin of plant, originally developed for wheat, has been expanded with production process for other crops.