Digital Twins for Sustainable Development

Digital Twins for Sustainable Development, 1st Edition, edited by Valentina Emilia Balas, Shamik Tiwari, Lalit Garg, Ferdous Sohel, and Anurag Jain, presents research on virtual models of physical systems designed to support environmental and operational sustainability goals. The volume provides computer science researchers and professionals with analytical frameworks for implementing virtual representations across complex infrastructure.

The text connects foundational computational methods to field applications. It examines how artificial intelligence, machine learning, and Internet of Things architectures supply the data streams and predictive capabilities needed to build functional digital twins. Core thematic sections cover implementations in precision agriculture, industrial manufacturing, and supply chain logistics.

To ground theoretical concepts, the work incorporates case studies detailing methods to analyze energy usage patterns, targeting reductions in energy waste and carbon emissions. This 306-page publication offers actionable guidance for investigators studying sustainable development, IoT infrastructure, and agricultural systems.