Unmanned aerial vehicle (UAV) based remote sensing is gaining momentum worldwide in a
variety of agricultural and environmental monitoring and modelling applications. At the same
time, the increasing availability of yield monitoring devices in harvesters enables input-target
mapping of in-season RGB and crop yield data in a resolution otherwise unattainable by
openly availabe satellite sensor systems. Using time series UAV RGB and weather data
collected from nine crop fields in Pori, Finland, we evaluated the feasibility of spatio …