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Abstract <p>This paper establishes the concept of developing dynamic digital twins of soils. These digital twins are envisioned as a key component of the biosphere and a fundamental element for sustainable agricultural production. Further development in this area is essential to ensure Russia’s technological independence and to facilitate the structural adaptation of its economy to current unprecedented challenges. The current state and role of soil digital twins within the conceptual framework of agricultural digital transformation are examined. Finally, the creation of a standardized approach for formally describing applied problems and data related to soil digital twins has enabled the development of a methodology for constructing data structures and architectures for these digital twins in agricultural landscapes on the basis of standards for soil data integration and mathematical models.</p>

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Digital Twins of Soils as a New Technological Paradigm in Genetic and Applied Soil Science

  • 期刊论文

  • 发表日期：

    2025年5月13日

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  • A. L. Ivanov,
  • A. G. Bolotov,
  • D. N. Kozlov,
  • N. A. Vasilyeva,
  • A. A. Vladimirov,
  • T. A. Vasiliev,
  • L. O. Khorosheva,
  • Yu. A. Dukhanin

摘要

Abstract

This paper establishes the concept of developing dynamic digital twins of soils. These digital twins are envisioned as a key component of the biosphere and a fundamental element for sustainable agricultural production. Further development in this area is essential to ensure Russia’s technological independence and to facilitate the structural adaptation of its economy to current unprecedented challenges. The current state and role of soil digital twins within the conceptual framework of agricultural digital transformation are examined. Finally, the creation of a standardized approach for formally describing applied problems and data related to soil digital twins has enabled the development of a methodology for constructing data structures and architectures for these digital twins in agricultural landscapes on the basis of standards for soil data integration and mathematical models.