A Web Service for Grapevine Monitoring and Forecasting a Disease
Keywords:
Expert system, Grapevine monitoring, Web serviceAbstract
A web-based expert system for the grapevine monitoring and forecasting the appearance of downy mildew, which is a common disease of grapevine in Montenegro, is presented in the paper. The system is based on the 3 10 rule, customized for the south Montenegro region. The proposed web-based expert system is user-friendly, requiring minimal user-input data. In addition to several locations and weather stations which are initially embedded into the system, new locations can be easily added, and each location may use an arbitrary weather station. Moreover, the system is implemented with a multi-user structure, providing two types of predefined users: the administrator and the farmer. The priority levels and privileges depend on the active type of user. The purpose of the system is to predict the grapevine disease appearance based on the live data collected from weather stations in the field, combined with the expert knowledge implemented into the system. The proposed system provides the live monitoring of several relevant parameters, and alerts the user when a risk of infection is detected.
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