Articles
FIRE BLIGHT FORECASTING MODEL OPTIMISATION IN A USER-FRIENDLY ONLINE INTERFACE
Article number
803_8
Pages
77 – 82
Language
English
Abstract
Fire blight caused by Erwinia amylovora is a major threat to pome fruit production (e.g., apple, pear) in Europe.
Several forecasting models have been developed that enable producers to predict high-risk infection dates based on weather patterns and to estimate the onset of symptoms for efficient implementation of monitoring and eradication measures.
Output of the most widely used model, Maryblyt™ was modified to develop an online interface that improves end-user access to daily forecasting data.
Several forecasting models have been developed that enable producers to predict high-risk infection dates based on weather patterns and to estimate the onset of symptoms for efficient implementation of monitoring and eradication measures.
Output of the most widely used model, Maryblyt™ was modified to develop an online interface that improves end-user access to daily forecasting data.
Authors
B. Duffy, B. Schoch, J. Vogelsanger, E. Holliger, E. Moltmann
Keywords
disease forecasting model, Erwinia amylovora, fire blight, Maryblyt
Online Articles (41)