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.