OPPORTUNITIES AND PERSPECTIVES OF THE DIGITAL TWINS’ CONCEPTION: THE CASE IN AGRICULTURE

Abstract

The article discusses the means and directions for improving the results of simulation modeling of suburban agriculture and, as a result, the creation of digital twins of farms. Most innovative technologies are still considered new areas for experimentation in agriculture. However, the digital twins being developed for agriculture implement many of the ideas that have already been tested in other industries. The article presents an optimization problem that allows the simulation of suburban agriculture to provide the city with fresh products. Particular attention is paid to modeling the sustainable development of suburban agriculture and the characterization of related data. At the same time, one of the biggest challenges is the need to constantly collect and update expanding data about the object in order to create digital twins. The result of the study is the construction of a simulation modeling system that forms digital twins of suburban crop and livestock production, and the determination of priorities for the selection of relevant data. In order to determine the conditions for realizing opportunities in the transition from suburban farming simulation to digital twins, a general modeling system is presented, consisting of simulation and optimization models, and a set of metrics is selected for the constant collection and updating of the digital twin. The created simulation model was previously worked out by running dozens of different options in the form of sets of initial data, and as a result of the model's operation, the article presents the best (optimal) responses. The necessary steps for the realization of this transition are defined. As a result of the activity of the proposed conceptual system, real-time information, and analytics allows to optimize the performance of the farm