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- W4381746917 abstract "In recent years, Digital Twin (DT) technology has gained a lot of interest due to its potential for improving efficiency, reducing costs, and optimizing processes in a variety of industries, including manufacturing, healthcare, and agriculture. However, in the agriculture field, DT technology is still in its early stages. In this paper, we propose a novel approach for developing digital twins that leverages a suite of microservices and multi-agent systems to integrate cognitive decision-making capabilities with the concepts of Hypermedia agents, semantic web, and multi-agent microservices (MAMS). This approach involves implementing digital twins as collections of small, independent services that can be combined and customized to support a wide range of applications and scenarios." @default.
- W4381746917 created "2023-06-24" @default.
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- W4381746917 date "2023-03-13" @default.
- W4381746917 modified "2023-09-26" @default.
- W4381746917 title "Hypermedia Multi-Agents, Semantic Web, and Microservices to Enhance Smart Agriculture Digital Twin*" @default.
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- W4381746917 doi "https://doi.org/10.1109/percomworkshops56833.2023.10150413" @default.
- W4381746917 hasPublicationYear "2023" @default.
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