Simulation Models and Decision Support Systems

Simulation Models and Decision Support Systems

Simulation models give (quantitative) insight and support decisions

Pests and diseases in agricultural crops strongly react to their biotic and abiotic environment. Weather, variety(e.g. host resistance) and cropping measures affect the incidence and severity  of pests and diseases as well as the effectiveness of the control measures required.

Simulation models

Simulation models give quantitative insight into the life cycle of pests and diseases and the dependence on the biotic and abiotic factors mentioned above. This enables optimisation of year-round control strategies by supporting strategic and operational  decisions with relevant (quantitative) insights and current  information on the crop, pathogen and environment. This, in turn, allows integrated pest management (IPM)  strategies to reach a maximum control effect with a minimal input of, e.g., plant protection products. The recently developed highly effective  'low-input' spraying strategies for Potato Late Blight control on (more) resistant potato varieties are good examples of such an IPM 2.0 strategy.

This research has strong international focus and we are collaborating with (inter)national industries, governments, and scientific partners.