Abstract:

Based on the multi-source remote sensing data and surface conventional observation data, an agro-meteorological forecasting system was integrated with C#. net and ArcGIS Engine development kits in order to evaluate the effects of weather on agricultural production quickly and correctly. The structure format with C/S combined with B/S was adopted in the system. The system could forecast the main development periods of crops such as the suitable sowing date, the harvest time, and the key development period, and so on. Meanwhile, it could also forecast meteorological grades (suitable grade or unsuitable grade) of farming activities and yields of main crops such as corn and paddy. The system could improve the accuracy and efficiency of agro-meteorological forecasting.