@Article{cmc.2026.082189,
AUTHOR = {Navod Neranjan Thilakarathne, Madhuka Priyashan Wedisinhage Don, Sharmi Malisha Dilshani, Jamil Abedalrahim Jamil Alsayaydeh, Mohd Faizal Bin Yusof, Rostam Affendi Bin Hamzah},
TITLE = {Harvesting Tomorrow: Empowering Smart Agriculture through Digital Twin Technology},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/cmc/online/detail/28101},
ISSN = {1546-2226},
ABSTRACT = {With the growing world population and demand for agricultural goods, agriculture requires innovative technologies that make the best use of resource, reduce waste, and increase productivity. So, smart agriculture, which involves the use of innovative digital technologies to enhance the quality and quantity of harvests, has come into play, superseding traditional agriculture. In recent years, the concept of the digital twin has intertwined with smart agriculture to enable precise control of entire farms, facilitating virtual replications. Overall, the digital twin enables continuous monitoring of real-time conditions in the field, providing valuable insights into crop health, resource utilization, and environmental factors, making it the next revolution in smart agriculture. The integration of digital twin-enabled precision control mechanisms allows for immediate responses to changing conditions and optimizes agricultural processes. Digital twins are still new to smart agriculture, but their use is growing quickly because of the benefits they offer. Motivated by synthesizing the latest knowledge on how digital twins can be utilized to precisely manage agricultural tasks, this study presents a comprehensive review of digital twins in smart agriculture. It discusses the digital twin ecosystem in smart agriculture, provides a taxonomy of the latest services, provides a conceptual architectural framework for autonomous agricultural digital twin, and highlights the latest challenges in the domain and countermeasures to overcome them. Nonetheless, anticipated future directions are also highlighted, paving the way for future research.},
DOI = {10.32604/cmc.2026.082189}
}