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Web-Based System to True-Forecast Disease Epidemics – Sisalert

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

Citation:  Computers in Agriculture and Natural Resources, 4th World Congress Conference, Proceedings of the 24-26 July 2006 (Orlando, Florida USA) Publication Date 24 July 2006  701P0606.(doi:10.13031/2013.21952)
Authors:   Willingthon Pavan, Jose Mauricio Cunha Fernandes, Rosa Maria Valdebenito Sanhueza, Emerson Del Ponte, Cristiano Roberto Cervi, Jaqson Dalbosco
Keywords:   Simulation models, Apple, Wheat, Venturia inaequalis, Botryosphaeria dothidea, Glomerella cingulata, Gibberella zeae, Magnaporthe grisea

One important step-in developing plant disease and pest forecasting systems is to provide an easy and comprehensive way to either run the models or deliver results to the users. The use of near realtime and, in some cases, forecast weather data is crucial to forecast outbreaks of plant diseases or pests at both local and regional basis. In this work, we present a web-based information system designed to retrieve weather data from both weather stations and remote database with 7-days weather forecast and run the models. The system has been adjusted to predict outbreaks of two diseases of wheat and four diseases of apple. The models are run in a daily basis and the results are real-time generated and presented in tabular, graphical and text format - an interpretation of results based on an expert assessment. Alternatively, alerts are sent to emails and cell phones. The system proved to be functional, flexible and has the potential to be integrated into a decision support system for pest and disease management. The system has been tested by growers and preliminary results showed a significant reduction of pesticide applications compared to conventional systems.

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