Deep Learning Based Route Information Extraction from Satellite Imagery for Agricultural Machinery Management

More and more agricultural machinery has been used to pursue efficiency, automation, and precision in agriculture. To manage their agricultural machinery, farmers must know the position of the machinery. Therefore, we propose Management System, including GPS sensors, API Server and Web Server, to realize that. Moreover, the arrangement of the farm, such as the distribution of routes and districts, is equally important. We introduce Extraction Server, composed of a designed image segmentation model and CV post-processing, for the acquirement of the arrangement of farms. Finally, the conducted experiments show that Extraction Server can yield the arrangement of farms. We plan two different scenarios to validate Management System. It is proven to be helpful to analyze the operation of machines.