What does it mean ‘model based predictions and decision support’ ?

Phenological models are well proven tools to forecast phenological events of grapevine (Vitis vinifera L.), for example bud burst, flowering or veraison. The main variable is the air temperature.

Modelling the starting dates of bud break and full bloom could be quite important because the success of plant protection and technology techniques scheduling depends mainly on phenological information.

An Advanced BBCH estimator provides actual BBCH values to several plant disease forecast models. The estimator should be run from late autumn to the end of harvest, parametrized with different input ‘target_heatsum’ values.

In case of grapevine the following plant diseases forecasting models are used: Botrytis, Erwinia amylovora (stage Blossom Blight), Erwinia amylovora (stage Trauma Blight), Erysiphe necator (Primary Infection), Erysiphe necator secondary infection, Guignardia bidwellii (perithecia) – primary infection, Phomopsis viticola, Plasmopara viticola, Plasmopara viticola (secondary), Podosphaera leucotricha (secondary infection), Venturia inaequalis (COOKE) WINT.

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