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Development of a disease forecasting system for strawberries as a tool on AgroClimate

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2009 Reno, Nevada, June 21 - June 24, 2009  096157.
Authors:   Willingthon Pavan, Clyde W Fraisse, Natalia A Peres
Keywords:   Climate; Simulation Modeling; Decision support system; Web-based interface; Google Maps

Strawberries are one of the most valuable crops in Florida. The state produces around 16 million flats of strawberries every year, which represents 15% of nation’s berries and virtually all the berries grown during the winter. The high value of the crop often compels growers to protect their profits by making numerous applications of fungicides, insecticides, and acaricides on a strict calendar schedule. In Florida, fungicides are applied on a weekly schedule, mainly for control of anthracnose and Botrytis fruit rot, from December through March. These are the most important diseases for production of annual strawberries in central Florida and worldwide. Different predictive models for anthracnose fruit rot and Botrytis fruit rot were evaluated for timing fungicide applications for control of those diseases under Florida conditions. The most effective models were embedded in a web-based tool developed for use by growers to schedule their fungicide applications. The implementation of this internet-based forecasting system to predict anthracnose and Botrytis enable the growers to easily access the information necessary for them to decide on the need for a fungicide application. The benefits of such a tool is that growers can apply fungicides only when conditions are favorable for disease development, thus reducing the number of applications and production costs without compromising disease control.

 

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