Development of a digital twin of plant based on the principles of emergent intelligence

Abstract

The paper discusses development of a smart digital twin of plants (DTP) based on the principles of emergent intelligence. The described methodology is part of the approach proposed by the authors earlier. It proposes implementation of a smart DTP as a multilevel complex adaptive system with the use of ontologies and multi-agent technologies. Models for interaction between agents of plant parts and subsystems can provide more accurate planning of each stage of plant growth. The paper describes the architecture of the DTP prototype, as well as a scenario of an experiment with it. Development of methodology will improve the accuracy of real plant simulation and simplify scaling of the system when developing ontological models of new crops.