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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Plasmopara viticola; Identification; Regression; Inference; Pattern recognition; Clustering; k-means
List of contributors:
Liberati, Diego
Authors of the University:
LIBERATI DIEGO
Handle:
https://iris.cnr.it/handle/20.500.14243/362400
Published in:
NONLINEAR ANALYSIS. HYBRID SYSTEMS
Journal
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