Benmouna, B.; Pourdarbani, R.; Sabzi, S.; Fernandez-Beltran, R.; GarcÃa-Mateos, G.; Molina-MartÃnez, J.M.
Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves. Remote Sens. 2022, 14, 6366.
https://doi.org/10.3390/rs14246366
AMA Style
Benmouna B, Pourdarbani R, Sabzi S, Fernandez-Beltran R, GarcÃa-Mateos G, Molina-MartÃnez JM.
Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves. Remote Sensing. 2022; 14(24):6366.
https://doi.org/10.3390/rs14246366
Chicago/Turabian Style
Benmouna, Brahim, Raziyeh Pourdarbani, Sajad Sabzi, Ruben Fernandez-Beltran, Ginés GarcÃa-Mateos, and José Miguel Molina-MartÃnez.
2022. "Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves" Remote Sensing 14, no. 24: 6366.
https://doi.org/10.3390/rs14246366
APA Style
Benmouna, B., Pourdarbani, R., Sabzi, S., Fernandez-Beltran, R., GarcÃa-Mateos, G., & Molina-MartÃnez, J. M.
(2022). Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves. Remote Sensing, 14(24), 6366.
https://doi.org/10.3390/rs14246366
