Sellami, M.H.; Albrizio, R.; Čolović, M.; Hamze, M.; Cantore, V.; Todorovic, M.; Piscitelli, L.; Stellacci, A.M.
Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability. Agronomy 2022, 12, 489.
https://doi.org/10.3390/agronomy12020489
AMA Style
Sellami MH, Albrizio R, Čolović M, Hamze M, Cantore V, Todorovic M, Piscitelli L, Stellacci AM.
Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability. Agronomy. 2022; 12(2):489.
https://doi.org/10.3390/agronomy12020489
Chicago/Turabian Style
Sellami, Mohamed Houssemeddine, Rossella Albrizio, Milica Čolović, Mohamad Hamze, Vito Cantore, Mladen Todorovic, Lea Piscitelli, and Anna Maria Stellacci.
2022. "Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability" Agronomy 12, no. 2: 489.
https://doi.org/10.3390/agronomy12020489
APA Style
Sellami, M. H., Albrizio, R., Čolović, M., Hamze, M., Cantore, V., Todorovic, M., Piscitelli, L., & Stellacci, A. M.
(2022). Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability. Agronomy, 12(2), 489.
https://doi.org/10.3390/agronomy12020489