数据仓库技术在水稻栽培管理决策支持系统中的应用

Application of data warehouse technology in the DSS of rice growth supervising

农业与其他行业相比,涉及的因素极其繁杂,如土壤、气象、环境等,且时空差异和变异性大,病虫灾害频繁,生产稳定性和可控程度差。农业自身的这些特点,决定了农业信息技术应用的复杂性和难度。文章结合水稻管理的实际情况,给出数据仓库在水稻栽培管理决策支持系统中的初步设计方案,探索了该技术在水稻生产中的应用,解决出现的相关技术问题。

Compared with other industries, agriculture relates to complex fields, for example, soil, weather and environment. The changes of space time conditions and frequent disasters from the worms all make＂ the produce unstable and difficult to control. These specialties result in a complication of using the agricultural information and increasing the difficulty. Due to the case of rice management at the moment, this dissertation explored the warehouse using in the rice system and solved the problems related to system.