Abstract
The article is devoted to the problem of resolving the ambiguity and uncertainty of the concept of a digital twin, based on a systematic approach that operates with the concept of a system, the main purpose of which is to achieve a specific goal. A scientific approach to the formation of digital twins is shown on the example of one of the most difficult sectors of the economy for digitalization and modeling—agriculture, based on a single digital framework for managing the industry. Such a framework will make it possible to avoid serious expenditures of finances, time, and human resources with the existing approach to the digital transformation of Russian economies, when each of them begins to form unique management information systems for themselves. It is shown that a single digital twin reflects the global trends in the digitalization of the economy at the present time, the evolution of the digitalization of individual operations to the digitalization of their interconnected complex based on the integration of all operations, including operations of related industries.
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Acknowledgements
This work was supported by the grant from the Ministry of Science and Higher Education of the Russian Federation, internal number 00600/2020/51896, Agreement dated 21.04.2022 No. 075-15-2022-319.
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Budzko, V., Medennikov, V., Keyer, P. (2024). System Analysis of Subject Identification of Digital Twin in Agriculture. In: Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. BICA 2023. Studies in Computational Intelligence, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-50381-8_16
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