Authors: L. Preite, G. Tancredi, G. Vignali
Year: 2025
Industry: General Industries
Keywords: Use FSE, Dynamic, Digital Twin, Validation
ABSTRACT
The future of agriculture is affected by several issues, such as climate change and water scarcity. Smart agriculture has been identified as the main driver to increase sustainability by combining different technologies. The proposed work aims at developing a digital twin application to manage a complex system characterized by living and non-living entities in a greenhouse with constrained devices. The development is based on an Internet of Things (IoT) architecture system with six layers (i.e., device, communication, IoT service, digital twin management, IoT process management and security layer). As a first step, the plant-soil-pot system and the irrigation network were fluid dynamically modeled using a lumped parameter simulation model. The digital model achieved a remarkable accuracy during testing and validation with a coefficient of determination close to 87%. Furthermore, remarkable results have been achieved in real-time monitoring and control of the real counterpart and in simulation of new operating scenarios. To summarize the results, the proposed framework can deal with the management of complex systems by minimizing the amount of data exchanged and thus minimizing the power requirements.