错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

System Analysis of Subject Identification of Digital Twin in Agriculture

  • Vladimir Budzko,
  • Victor Medennikov,
  • Petr Keyer

摘要

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.