小麦苗情远程监测与诊断系统

小麦苗生长状况与后期的长势及产量关系密切,且小麦生长过程经历的环境复杂多变,所以对小麦苗期生长状况进行监测与诊断具有重要意义,该文基于远程监控、遥感和WebGIS技术,初步设计构建了小麦苗情远程监测与智能诊断管理系统.该系统通过远程监控技术获取田间现场环境信息,遥感影像数据获取小麦生长信息,并结合专家知识数据库,可对小麦长势、干旱、冻害进行监测与综合分析,并给出诊断方案,进而为小麦的调控管理提供决策和支持.

Monitoring and diagnosis system for wheat growth with remote sensing and sensor technology

The growth status of wheat seedlings is closely related to the latter growth biomass and the yield. Given the fact that the surrounding environment of wheat is variable and highly unpredictable during its growth, monitoring and diagnosing the vigor of winter wheat during the seedling period is of great importance. The study present a preliminary design of a remote monitoring and intelligent diagnosing system based on the combination of remote monitoring, remote sensing and WebGIS technology. The remote monitoring and remote sensing technologies can provide both field environmental information and growth information in real time. In addition, the wheat growth condition, drought and cold injury can be diagnosed and analyzed with the aid of an expert knowledge database. For practical use, the presented system is able to generate a solution for the regulation and management of wheat, which is assumed to benefit the decision making process significantly.