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1 Ergebnisse
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Selection of Hyperspectral Vegetation Indices for Monitorin..:
Sellami, Mohamed Houssemeddine
;
Albrizio, Rossella
;
Čolović, Milica
...
Agronomy. 12 (2022) 2 - p. 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=cr-10.3390_agronomy12020489&Exemplar=1&LAN=DE A1 Sellami, Mohamed Houssemeddine A1 Albrizio, Rossella A1 Čolović, Milica A1 Hamze, Mohamad A1 Cantore, Vito A1 Todorovic, Mladen A1 Piscitelli, Lea A1 Stellacci, Anna Maria PB MDPI AG YR 2022 SN 2073-4395 JF Agronomy VO 12 IS 2 SP 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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