Estimating the Leaf Water Status and Grain Yield of Wheat under Different Irrigation Regimes Using Optimized Two- and Three-Band Hyperspectral Indices and Multivariate Regression Models

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Elsayed, Salah; El-Hendawy, Salah; Dewir, Yaser Hassan; Schmidhalter, Urs; Ibrahim, Hazem H.; Ibrahim, Mohamed M.; Elsherbiny, Osama; Farouk, Mohamed
Titel:: Estimating the Leaf Water Status and Grain Yield of Wheat under Different Irrigation Regimes Using Optimized Two- and Three-Band Hyperspectral Indices and Multivariate Regression Models
Zeitschriftentitel:: Water
Jahr:: 2021
Band / Volume:: 13
Heft / Issue:: 19
Seitenangaben Beitrag:: 2666
Volltext / DOI:: doi:10.3390/w13192666
Verlag / Institution:: MDPI AG
E-ISSN:: 2073-4441
Publikationsdatum:: 27.09.2021
BibTeX

Vorkommen: