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An Example of Integrated Forecasting System for Phytophthora Infestans on Potato

  • Jan Hadders
Chapter
Part of the Integrated Management of Plant Pests and Diseases book series (IMPD, volume 3)

Abstract

PLANT-Plus® was initially developed by Dacom as a Decision Support System (DSS) for management of Phytophthora infestans and has been used on-farm since 1994. The system has been extended with models for Alternaria solani and several other fungi or insect pests in different crops. Another modules include the irrigation management system based on ET data and soil moisture sensors, and models for potato tuber infection and fertilizers management. This integrated suit of DSS models offers a turn-key solution for the plant grower. The PLANT-Plus platform enables communication of data between farmer, consultant, processors and other accredited users in the food chain. The users can choose the most appropriate interface, and can configure a variety of output types such as SMS text messaging, fax and e-mail warnings. The system offers an integrated ten day weather forecast which provides a predictive risk assessment for the coming days. The disease models require the availability of on-farm, automatic, weather data and were developed in cooperation with experts from different areas and countries. In contrast to most of the other available models, PLANT-Plus is based on the lifecycle of the P. infestans, combining infection events with the unprotected part of the crop. The model will recommend when to apply a new spray and what type of chemical to use, i.e. contact, translaminar or systemic. The benefits of the models are clearly demonstrated in field trials and commercial evaluations all over the world and provide safe spraying programmes with the lowest possible use of chemicals for the control of late and early blight in potato crops.

Keywords

Decision Support System Late Blight Phytophthora Infestans Early Blight Infection Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Jan Hadders
    • 1
  1. 1.Dacom PLANT-Service BV7801 CE EmmenThe Netherlands

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