COMPARISON OF UNCALIBRATED RGBVI WITH SPECTROMETER-BASED NDVI DERIVED FROM UAV SENSING SYSTEMS ON FIELD SCALE

摘要: The development of UAV-based sensing systems for agronomic applications serves the improvement crop management. latter is in focus precision agriculture which intends to optimize yield, fertilizer input, and protection. Besides, some cropping vehicle-based devices are less suitable because fields cannot be entered from certain growing stages onwards. This true rice, maize, sorghum, many more crops. Consequently, approaches fill a niche very high resolution data acquisition on field scale space time. While mounting RGB digital compact cameras low-weight UAVs (< 5 kg) well established, miniaturization sensors last years also enables hyperspectral those platforms. From both, data, vegetation indices (VIs) computed estimate growth parameters. In this contribution, we compare two different UAV platform monitoring nitrogen experiment winter wheat corresponding farmers’ Western Germany. (i) A standard camera was flown acquire images used compute RGBVI (ii) NDVI newly modified version Yara N-Sensor. well-established tractor-based sensor management available market since decade. It study fit requirements acquisition. three objectives contribution: (1) evaluate potential uncalibrated status wheat, (2) investigate performance N-Sensor, (3) results wheat.