Sabzi, S.; Pourdarbani, R.; Rohban, M.H.; GarcÃa-Mateos, G.; Paliwal, J.; Molina-MartÃnez, J.M.
Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm. Agronomy 2021, 11, 575.
https://doi.org/10.3390/agronomy11030575
AMA Style
Sabzi S, Pourdarbani R, Rohban MH, GarcÃa-Mateos G, Paliwal J, Molina-MartÃnez JM.
Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm. Agronomy. 2021; 11(3):575.
https://doi.org/10.3390/agronomy11030575
Chicago/Turabian Style
Sabzi, Sajad, Razieh Pourdarbani, Mohammad Hossein Rohban, Ginés GarcÃa-Mateos, Jitendra Paliwal, and José Miguel Molina-MartÃnez.
2021. "Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm" Agronomy 11, no. 3: 575.
https://doi.org/10.3390/agronomy11030575
APA Style
Sabzi, S., Pourdarbani, R., Rohban, M. H., GarcÃa-Mateos, G., Paliwal, J., & Molina-MartÃnez, J. M.
(2021). Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm. Agronomy, 11(3), 575.
https://doi.org/10.3390/agronomy11030575