Colovic, M.; Yu, K.; Todorovic, M.; Cantore, V.; Hamze, M.; Albrizio, R.; Stellacci, A.M.
Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop. Agronomy 2022, 12, 2181.
https://doi.org/10.3390/agronomy12092181
AMA Style
Colovic M, Yu K, Todorovic M, Cantore V, Hamze M, Albrizio R, Stellacci AM.
Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop. Agronomy. 2022; 12(9):2181.
https://doi.org/10.3390/agronomy12092181
Chicago/Turabian Style
Colovic, Milica, Kang Yu, Mladen Todorovic, Vito Cantore, Mohamad Hamze, Rossella Albrizio, and Anna Maria Stellacci.
2022. "Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop" Agronomy 12, no. 9: 2181.
https://doi.org/10.3390/agronomy12092181
APA Style
Colovic, M., Yu, K., Todorovic, M., Cantore, V., Hamze, M., Albrizio, R., & Stellacci, A. M.
(2022). Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop. Agronomy, 12(9), 2181.
https://doi.org/10.3390/agronomy12092181