Abstract
In this paper, we present a personal warning system model as one of the main functions of a RICE WATCH system in order to support farmers in rice pest management. The model embodies the concept of time-based notification activated by using a crop calendar, and situation-based notification using a BUS model. The system also includes What to Do Next, a knowledge integration module, in order to provide advice on how to prevent or treat pests appropriately. The warning or notification service is provided to farmers through multi-channels of communication such as SMS, e-mail, internet browser and mobile application. The recommendations or advice will be generated by using an inference engine to deduce disease preventive tasks and/or disease treatment. Based on estimates by Pest Forecasting and Early Warning Group, appropriate management of risk from pests could be reduced by 80%, as well as costs for pest management being reduced by 50%.
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