DEVELOPMENT OF A PROTOTYPE ARCHITECTURE FOR AN INTELLIGENT DIGITAL TWIN OF PLANTS
P.O. Skobelev1, A.S. Tabachinskiy1,2, E.V. Simonova3, A.O. Strizhakov2, E.V. Kudryakov2
1Samara State Technical University, Samara, Russia
2Samara Federal Research Scientific Center of RAS, Samara, Russia
3Samara National Research University, Samara, Russia
Keywords: precision farming, digital twin, microservice architecture, multi-agent technology, knowledge base, ontology
Abstract
The article describes the development and implementation of a microservice architecture upon which the functionality of an Intelligent Digital Twin of Plants (IDTP) is built. This system is designed for planning and simulation plant growth stages and forecasting yields, synchronized with the states of actual crops, based on ontologies and multi-agent technologies. The functional capabilities of the Manager, Ontology Constructor and Knowledge Base (OC and KB), Planning (multi-agent planner) services are examined, as well as the organization of interfaces for the interaction of the IDTP with external services and users. Examples are provided to represent the results of modeling the comprehensive state of a crop, based on real-time environmental data and forecasting the crop's condition at all stages of plant development up to harvest. The developed microservice architecture is open for integrating the IDTP with external services, such as environmental data collection, as well as recommendation systems and Agro-IoT platforms. The results of the IDTP prototype development have been passed on to several farms for experimental testing in different climatic conditions. The article discusses directions for improving the accuracy of IDTP forecasts and the potential for creating a decision support system for agronomic applications in precision agriculture based on the IDTP.
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