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1 Ergebnisse
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Selection of Hyperspectral Vegetation Indices for Monitorin..:
Mohamed Houssemeddine Sellami
;
Rossella Albrizio
;
Milica Čolović
...
https://www.mdpi.com/2073-4395/12/2/489. , 2022
Link:
https://doi.org/10.3390/agronomy12020489
RT Journal T1
Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:120cd39f8226441fb6b56cd364cf32ee&Exemplar=1&LAN=DE A1 Mohamed Houssemeddine Sellami A1 Rossella Albrizio A1 Milica Čolović A1 Mohamad Hamze A1 Vito Cantore A1 Mladen Todorovic A1 Lea Piscitelli A1 Anna Maria Stellacci PB MDPI AG YR 2022 K1 hyperspectral proximal sensing K1 principal component analysis (PCA) K1 multiple linear regression (MLR) K1 variable selection K1 water and nitrogen deficiency K1 Agriculture K1 S JF https://www.mdpi.com/2073-4395/12/2/489 LK http://dx.doi.org/https://doi.org/10.3390/agronomy12020489 DO https://doi.org/10.3390/agronomy12020489 SF ELIB - SuUB Bremen
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