Plasmopara viticola germination virulence forecasting via piece-wise affine identification for hybrid systems
Articolo
Data di Pubblicazione:
2008
Abstract:
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. (C) 2008 Elsevier Ltd. All rights reserved.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Plasmopara viticola; Identification; Regression; Inference; Pattern recognition; Clustering; k-means
Elenco autori:
Liberati, Diego
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