DIGITAL TWINS FOR REAL-TIME MONITORING AND OPERATION OF COFFEE VALUE CHAIN AND SUPPLY CHAIN

• Published in: International Journal of Mechatronics and Applied Mechanics
• Main Author: Le C.A.; Le C.H.; Nguyen V.D.; Zlatov N.; Le T.H.; Nguyen T.A.; Chu A.M.; Mahmud J.; Le V.D.; Nguyen H.Q.; Ramesh D.; Mengistu S.; Behera A.; Packianather M.S.
• Format: Article
• Language: English
• Published: Cefin Publishing House 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206921680&doi=10.17683%2fijomam%2fissue17.13&partnerID=40&md5=ffdbe2f5988b975b6c7d7a8a082d9b37

There has been significant effort and a growing need to develop innovative and cost-effective solutions for real-time monitoring and operation of value chains and supply chains, especially to enhance the predictability and optimisation of complex production systems for a better adaptation to disruptions and market fluctuations as well as improved sustainability. This is particularly important when taking into account the impacts and emerging advancements of smart agriculture, smart manufacturing, Digital Twins, and Industry 5.0, where data-driven solutions and AI-enabled decision-making play an important role for improving real-time monitoring, quality control and management, and operational efficiency. This study presents a conceptual framework for integrating Digital Twins into a smart agriculture platform, focusing on the real-time monitoring and operation of the coffee value chain and supply chain, to demonstrate the potential of Digital Twins in advancing smart agriculture and digital supply chains. © 2024, Cefin Publishing House. All rights reserved.