Design of remote sensing system for rice information extraction

Rice is the world´s most important crop for ensuring food security. Remote sensing has advantages in collecting data objectively and accurately on rice planting area, growth and development, and yield at large scales, but processing is slow due to vast amount of data, and there is need for an information extraction system specially designed for rice. This paper mainly discussed the key techniques for the rice data extraction system based on IDL including its graphical user interface, Xmanager Incident Response, object graphics system, image roaming and image scaling, as well as the function and structure of this system for rice area extraction, growth monitoring, and yield forecasting. Rice cultivation data extraction thus becomes automatic and efficient.