A systems-engineering approach for virtual/real analysis and validation of an automated greenhouse irrigation system

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.

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