The concept of a digital twin of irrigated agrocenosis

Abstract

Introduction. An implementation of precision farming technologies, with other equal yield-forming factors, allows to increasing a yield of agrocenosis up to 15-20%. The introduction of precision irrigation makes it possible to qualitatively increase the efficiency of using of water resources. Implementation of digital twins opens up significant opportunities in reducing the parametric uncertainty of agrocenosis states and their real-time monitoring, as well as high-precision modeling of various simulation scenarios.
Object. The object of this study are digital twins as systems for monitoring and parametric modeling of production processes in their application to the agricultural sector.
Materials and methods. Methods of this study are general systems theory, the theory of constraints, technology maturity assessment according to foreign and Russian industry standards, alsо the monographic method were used.
Results and conclusions. The concept of an object-oriented data model is proposed that integrates data of various physical nature and automates parametric modeling of agrobiocenosis, which will qualitatively reduce the uncertainty in the economic parameters of agrocenosis in a discrete spatial and temporal dimension, as well as labor costs for calculations, as well as form a primary calculating system and methodological basis to integrate precision irrigation, precision farming and crop programming with further use of the research results in cyber-physical systems, including an implementation of artificial intelligence.