Design of Farmland Meteorological Visualization Management System Based on Digital Twins

To precisely monitor farmland conditions, we need to mitigate the risk of crop yield reduction due to natural disasters and other factors, and enhance the accuracy of agricultural production decisions, an agricultural meteorological environment monitoring system based on digital twin technology has been developed. Unlike traditional meteorological monitoring systems, this design employs digital twin technology to construct a twin model that virtually replicates the physical farmland environment. Meteorological monitoring equipment collects farmland data, which is then uploaded to a virtual visualization interface where real-time remote monitoring, anomaly alerts, and weather forecasts are provided. Experimental results indicate that this system effectively collects and uploads farmland data, enables real-time remote monitoring, and issues timely alerts for abnormal meteorological conditions, thereby offering theoretical guidance and technical support for the advancement of smart agriculture.