Start-Up
Clover Spatial AI Platform integrates satellite imagery, UAV imagery, AI, and GIS to monitor agricultural land at scale. The platform uses remote sensing data to detect spatial and temporal changes across large areas and identify locations that require closer inspection. These priority areas can then be revisited using UAVs, including waypoint-based autonomous missions, to acquire higher-resolution imagery and support field decision-making. The solution is designed for crop monitoring, field scouting, vegetation change detection, weed and pest risk monitoring, water stress monitoring, and other agricultural anomalies. Our current prototype includes geospatial data infrastructure, satellite imagery integration, AI-based image analysis, and UAV mission design. We are preparing pilot validation in international agricultural environments, including Spain and Cyprus.