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Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning.

, , , , , , and . Remote. Sens., 14 (13): 3066 (2022)

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Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning., , , , , , and . Remote. Sens., 14 (13): 3066 (2022)Emissionen klimarelevanter Gase aus der Landwirtschaft.. Ausgezeichnete Informatikdissertationen, Teubner, (1999)Implementierung eines Projektdatenmanagements für das interdisziplinäre Forschungsprojekt TR32 "Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation"., , , and . GIL Jahrestagung, volume P-142 of LNI, page 37-40. GI, (2009)Detektion von Wachstumsvariabilität in vier Zuckerrübensorten durch multi-temporales terrestrisches Laserscanning., , , , and . GIL Jahrestagung, volume P-194 of LNI, page 135-138. GI, (2012)Multi-Daten Ansatz für verbesserte Landnutzungsanalysen - Fallstudie Rur-Einzugsgebiet., , , and . GIL Jahrestagung, volume P-142 of LNI, page 181-184. GI, (2009)Spectral Evaluation of Hyperspectral Remote Sensing Data Using UAV-derived VIS/NIR/SWIR Imaging Data and Polygon Grids., , , , and . IGARSS, page 1945-1948. IEEE, (2023)A New Multispectral VNIR/SWIR Imaging System for UAVs to Monitor Crop Traits., , , , , and . IGARSS, page 4635-4637. IEEE, (2023)Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles., , , , , and . Sensors, 19 (24): 5507 (2019)