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Title: MODELLING AND SIMULATION OF CLOUD-BASED DIGITAL TWINS IN SMART FARMING
MODELLING AND SIMULATION OF CLOUD-BASED DIGITAL TWINS IN SMART FARMING

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Kristina Dineva; Tatiana Atanasova
10.5593/sgem2022V/6.2/s25.31
10.5593/sgem2022V/6.2
1314-2704
978-619-7603-52-1
English
22
6.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Advances in Biotechnology
Digital Twins can be seen as powering the next generation of IoT-connected solutions. Digital Twins model the real world by using historical and real-time data to represent the past and present and simulate the predictable future. Digital twins are related to a set of concepts such as digital representation and 3D visualization, integration, monitoring, control, computation, prediction, and decision-making. They are digital replicas of physical objects having bidirectional data flow. The physical object and its digital twin are synchronized, and the simulations, optimizations and visualizations are in real-time.
Using Digital Twins supports the processes of gaining insights that drive better products, optimize operations, reduce costs, and improve the customer experience. These benefits can be used in any type of environment, including buildings, factories, farms, power grids, and even entire cities.
Data gathered as a result of the implementation of Precision Livestock Farming (PLF) techniques allows the creation of digital twins though out the farm. As a result, farmers can manage the farm remotely based on real-time digital information, rather than relying on direct observation and manual tasks on the ground. This allows them to act immediately in case of deviations, simulate the effect of interventions based on real-life data and automate various decision-making processes.
The main goal of the article is modelling and simulations of digital twins for smart farming in a Cloud environment. During operational use, digital twins can be used not only to monitor and simulate the effects of interventions but also to remotely control objects by using automated actuators. Finally, digital twins are also very valuable for traceability, compliance, and training as they optimize farm operations and provide measurable data for increasing sustainability.
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The research leading to these results has received funding from the Ministry of education and science under the National science program INTELLIGENT ANIMAL HUSBANDRY, grant agreement № Д01-62/18.03.2021
conference
https://doi.org/10.5593/sgem2022V/6.2/s25.31
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 06-08 December, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
241-248
06-08 December, 2022
website
8926
Digital Twins, Azure Cloud, Smart Farming, Precision Livestock Farming (PLF), Modelling and Simulations