Gnanamalar, R. HepzibaAyyasamy, Ramesh Kumar2025-03-032024-01-01978-044328884-5, 978-044328885-2https://dspace.psgrkcw.com/handle/123456789/5386Smart Agriculture is pivotal for addressing the growing global demand for food while ensuring sustainable resource use. Digital Twin technology, capable of creating virtual replicas of physical systems, holds significant potential for advancing agricultural practices. This study investigates the role of Digital Twin technology in revolutionizing smart agriculture, with a focus on increasing productivity and sustainability. We explore how real-time data and predictive modeling offered by Digital Twins can optimize decision-making and overall agricultural efficiency. The Objective of the chapter is to analyze the principles and components of Digital Twins in smart agriculture, assess the impact of Digital Twins on crop monitoring, resource management, and precision agriculture, evaluate the economic and environmental benefits of Digital Twin adoption in agriculture, and address challenges associated with implementing Digital Twin technology in farming. Digital Twins are poised to reshape smart agriculture, empowering data-driven decisions to enhance productivity and sustainability. While challenges exist, the transformative potential of Digital Twins in agriculture is undeniable, heralding a future where data-driven precision farming becomes the norm, aligning global food security with environmental conservation.en-USBook chapter