Research and Design of Agrometeorological Disaster Monitoring and Early Warning and Intelligent Service System Based on Data Mining

Abstract

AbstractAt present, insufficient research on the mechanism of agricultural disasters, poor understanding of agricultural disaster processes and key factors, imperfect agricultural disaster monitoring theory and methods, has become the establishment of an effective agricultural disaster monitoring early warning system, the development of disaster space-time dynamic monitoring, as well as the country to make major disaster prevention and mitigation decision-making bottlenecks and obstacles. Among them, agricultural meteorological disaster warning is the most important and challenging problem in the modern world, accurate meteorological prediction often requires the use of more advanced methods and computer models. This paper studies the application of data mining methods in agricultural meteorological disaster warning, and designs an early warning and intelligent service system for monitoring agricultural meteorological disasters based on data mining. The main functions of the system are early warning of agricultural meteorological disaster monitoring and live monitoring of agricultural meteorology. The experimental results also show that the system has good function of meteorological disaster monitoring and early warning and intelligent service.KeywordsEstablishment of an effective agricultural disaster monitoring early warning systemMeteorological predictionData mining