Euphoria AI: A Three-Layer Satellite–HAP–LAP Observation Architecture for Agricultural Forecasting, Climate-Driven Suitability Mapping, and Long-Term Yield Prediction Across Europe

Agricultural productivity has significantly decreased due to drought and climate change. This research proposes a three-layer observation system integrating LEO satellite, high-altitude platform (HAP) UAVs, and low-altitude platform (LAP) drones to monitor seven key agricultural parameters: Land Surface Temperature (LST), Evapotranspiration (ET), Soil Moisture (SM), Leaf Area Index (LAI), Gross Primary Productivity (GPP), Land Cover/Crop Type, and Topography. Unlike existing studies relying on satellite data alone or limited parameter sets, this architecture enables multi-scale monitoring, continuous verification, and rapid anomaly detection across Europe, extending prediction horizons from weeks to years.