Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Colovic, Milica ; Yu, Kang ; Todorovic, Mladen ; Cantore, Vito ; Hamze, Mohamad ; Albrizio, Rossella ; Stellacci, Anna Maria
Titel:: Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop
Stichworte:: Article ; vegetation reflectance ; bio-physiological crop parameters ; red-edge ; water band indices ; narrow-bands spectral indices ; water and nitrogen stress
Zeitschriftentitel:: Agronomy
Jahr:: 2022
Band / Volume:: 12
Heft / Issue:: 9
Volltext / DOI:: doi:10.3390/agronomy12092181
Verlag / Institution:: MDPI
E-ISSN:: 2073-4395
Publikationsdatum:: 14.09.2022
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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