Digital twins and cloud computing

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.