Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses

Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus producing both economic and environmental benefits. The objectives of the trial were i) to compare the spectral reflecta...

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Veröffentlicht in:	PloS one 2016-06, Vol.11 (6), p.e0158268-e0158268
Hauptverfasser:	Caturegli, Lisa, Corniglia, Matteo, Gaetani, Monica, Grossi, Nicola, Magni, Simone, Migliazzi, Mauro, Angelini, Luciana, Mazzoncini, Marco, Silvestri, Nicola, Fontanelli, Marco, Raffaelli, Michele, Peruzzi, Andrea, Volterrani, Marco
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural economics Agriculture Biology and Life Sciences Computer and Information Sciences Crops Cynodon dactylon Data acquisition Data processing Engineering and Technology Environmental aspects Farms Fertilization Golf courses Imagery Nitrogen Nutrition Nutritional Physiological Phenomena Paspalum vaginatum Physical Sciences Physiological aspects Plant nutrition Poaceae Racetracks Reflectance Remote Sensing Technology Remote sensors Sensors Spatial variability Species Spectral reflectance Turf Turfgrasses Unmanned aerial vehicles Vegetation index Zoysia matrella
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