High-resolution multispectral cameras and deep learning models analyze turf color, growth conditions, and early signs of disease and pest damage at the pixel level. Combined with NDVI analysis, the system detects plant stress before it becomes visible.
Edge devices perform AI inference locally and transmit only summarized data to the cloud. LTE and 5G connectivity enable stable operation even in outdoor environments without Wi-Fi.
RTK-GPS tracks the operating routes of autonomous turf management equipment with centimeter-level accuracy. Route and status data are transmitted to the management platform in real time.
The system analyzes environmental conditions and historical turf data to identify the causes of disease and pest outbreaks. It recommends optimal treatment methods, irrigation schedules, and maintenance strategies while minimizing unnecessary chemical use and environmental impact.
