Digital twins and cloud computing
Issued Date
2025-01-01
Resource Type
Scopus ID
2-s2.0-105026845622
Journal Title
Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table
Start Page
137
End Page
168
Rights Holder(s)
SCOPUS
Bibliographic Citation
Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table (2025) , 137-168
Suggested Citation
Pathare P.B., Patil H., Nirmal N., de Waal J.M., Jagtap S., Mahanti N.K., Sharma P., Prasath V.A. Digital twins and cloud computing. Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table (2025) , 137-168. 168. doi:10.1016/B978-0-443-33750-5.00008-1 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/114050
Title
Digital twins and cloud computing
Corresponding Author(s)
Other Contributor(s)
Abstract
Seafood products play a major role in ensuring global food security and are a valuable source of numerous minerals and micronutrients for the human diet. As seafood items decay quickly and their quality deteriorates over time, processing seafood has historically been difficult. The seafood sector is under growing pressure to improve operational efficiency, traceability, and sustainability. Advances in technology and shifting consumer demands are driving a digital transformation in the seafood business. Businesses that use digital tools and solutions are in a good position to increase productivity, boost sustainability, and spur market expansion. Technologies like digital twins and cloud computing present feasible solutions to these challenges. Cloud solutions enable real-time monitoring of intricate supply chains and environmental conditions by offering scalable infrastructure for data processing, analytics, and storage. Throughout the seafood value chain, from aquaculture farms to processing facilities and distribution networks, digital twins-virtual copies of physical assets and processes-allow for simulation, optimization, and predictive maintenance. The potential of combining cloud computing and digital twins to improve resource management, quality assurance, and seafood production is examined in this chapter. Data from sensors, Internet of Things devices, and other sources can be combined and examined using cloud-based platforms to produce dynamic digital twins that simulate important variables like fish growth, water quality, and processing efficiency. Improved traceability, decreased waste, and better decision-making are made possible by this integration, which eventually helps to make the seafood sector more resilient and sustainable.