Recent Advances in the Digital Twin System for Smart Farming: A Five-Year Review

The development of digital technologies has given rise to novel approaches to the problems facing contemporary agriculture. Digital Twin systems (DTS) are one of these technologies that have become an innovative tool in smart farming. DTS facilitates data-driven decision-making, predictive maintenance, and real-time monitoring by emulating actual farming processes virtually. Precision management over agricultural processes is made possible by integrating Internet of Things (IoT) devices, artificial intelligence (AI), and big data analytics into DTS. This reduces environmental effects, optimizes resource consumption, and increases crop yields. To provide an overview of the most recent uses of DTS in smart farms and to emphasize their contributions to productivity, sustainability, and efficiency, this study explores twenty case studies from the previous five years of research to get the benefits, difficulties, and implementation strategies of using DT technology in several agricultural environments. The paper emphasizes how DT systems are revolutionizing smart farming and opening the door to a more resilient and intelligent agrarian future.