Abstract
In the context of multidisciplinary complex systems design, modelling and simulation are key components in decision making. It allow engineers to validate design alternatives at early development stages. Consequently, it is possible to reduce uncertainty on requirements compliance and secure better decisions for downstream stages of product development. This article describes the analysis of a virtual prototype of an automated greenhouse irrigation system. It is modelled and compared with the real system implementation, finding some differences and similarities between both system testing approaches. The intrinsic dependence of experimentation and modelling is also discussed as both, experimental and random data, are important to be used as inputs to validate virtual models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal on Interactive Design and Manufacturing (IJIDeM)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
