An integrated service system for agricultural drought monitoring and forecasting and irrigation amount forecasting

Abstract

In order to improve efficiency of defending agricultural drought and resolve the problem that kinds of service software are distributed and isolated, we designed and developed a synthetic system that integrated drought monitoring and forecasting and irrigation amount forecasting into a platform based on technology of the internet of things, hybrid programming and parallel computing. This system has three advantages. First, we improved algorithms of drought monitoring and forecasting so that products made by this system have a higher accuracy. Second, we designed a function called one-click-complete that needs only one click and can complete all business through one batch process, which could enhance efficiency for emergency handling. Third, we optimized the feature of high cohesion and low coupling from the view of business information flow and technology architecture, which could ensure stability. Now this system has been applied in most provinces in northern China and shows an excellent prospect for integrated service of drought monitoring and forecasting and irrigation amount forecasting.