Research on Agricultural Panorama Intelligent Monitoring and Early Warning System

Abstract

Aiming at the limitations, dispersion and redundancy of randomly collected images of agricultural surveillance field cameras, a multi-camera system panoramic intelligent monitoring and early warning method is proposed. Firstly, the multi-camera model is designed by entropy theory to obtain the number of cameras with maximum efficiency. Then, through the registration and fusion of single-frame images, the images are stiched into panoramic images to obtain global information. Finally, the sub-decisions of multiple cameras are combined., get a more reliable early warning judgment.