Plasmopara viticola germination virulence forecasting via piece-wise affine identification for hybrid systems

Modelling the nonlinear processes of the plasmospara viticola infection on wine yards is proposed for forecasting and then for control purposes, through piece-wise affine identification of hybrid dynamical systems form data.