Emerging Science Journal · 2023 · 13 citations · 25 references
AgricultureAgricultural EconomicsAgricultural EngineeringAgricultural DevelopmentDigital TransformationFarm ManagementAgricultural MachineryAgricultural Production EconomicsAgricultural Production SystemsAgricultural SystemsAgricultural TechnologyFarm MachineryAgricultural Machinery EconomicsDigital Technology AdoptionDigital Twin ApplicationsDigital Twin IntegrationDigital Twin System DesignDigital Twin-based AssessmentDigital TwinsScientific Problem Solving
The aim of this study is to systematize and improve the theoretical and methodological framework for implementing digital twin technology. The study focuses on digital twins in agriculture. This paper is designed to solve the scientific problem associated with the development of a methodological framework for the implementation of digital twins in the work of agricultural organizations. Using methods of analysis of socio-economic phenomena and processes on the basis of a set of scientific approaches, economic-statistical analysis, and others, the study considers the importance of digital twins of agricultural machinery and equipment, identifies trends in agriculture determined by digitalization, and suggests promising areas for digital twins of agricultural machinery and equipment. This paper also examines the theoretical basis for the implementation of digital twin technology in the agricultural sector of production. New research results complement the theoretical provisions on the essence of digital twin technology; develop the methodological provisions of digital twin technology, represented by the study of their significance, principles, and features of operation. The study may be seen as academically novel as it reveals the prerequisites for implementing digital technology in agriculture as well as clarifies and improves the theoretical and methodological provisions of the application of digital twin technology in various sectors of agriculture.
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Digital twin-driven product design framework
Fei Tao, Fangyuan Sui, Ang Liu et al. · International Journal of Production Research · 2018 · 1.1K citations