Using Cloud IOT for disease prevention in precision agriculture

Abstract

The application of decision support system (DSS) for potato late blight disease prevention has proven its benefit. In fact the DSS permits efficiency, minimizes cost and environment impact by estimating the exact requirement fungicide quantity to apply. This prediction using weather condition based late blight forecast model. The required weather information is collected from costly weather station or imprecise historical data. However, with the emergence of the IOT, huge number of low cost and low power sensors nodes can easily be deployed in farmlands in order to gather a precise climate data. Moreover, the collected data can be forwarded by Internet connection to the so called cloud IOT framework. In this paper we present a new prototype of late blight prevention decision support system based on sensor network and cloud IOT.