Stochastic models for management decisions during risks and uncertainties

Design and management of protected cultivation systems is generally based on complete knowledge of the structure and parameterization of the system description (model) and influences of environmental factors (weather, product prices, etc.). The reality is different.

In this study, based on actual cases, sources of uncertainty are identified and options explored to explicitly and a priori take into account the sources of uncertainty during the design.