El Bouanani, N.; Laamrani, A.; Hajji, H.; Bourriz, M.; Bourzeix, F.; Ait Abdelali, H.; El-Battay, A.; Amazirh, A.; Chehbouni, A.
Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis. Remote Sens. 2025, 17, 1597.
https://doi.org/10.3390/rs17091597
AMA Style
El Bouanani N, Laamrani A, Hajji H, Bourriz M, Bourzeix F, Ait Abdelali H, El-Battay A, Amazirh A, Chehbouni A.
Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis. Remote Sensing. 2025; 17(9):1597.
https://doi.org/10.3390/rs17091597
Chicago/Turabian Style
El Bouanani, Nadir, Ahmed Laamrani, Hicham Hajji, Mohamed Bourriz, Francois Bourzeix, Hamd Ait Abdelali, Ali El-Battay, Abdelhakim Amazirh, and Abdelghani Chehbouni.
2025. "Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis" Remote Sensing 17, no. 9: 1597.
https://doi.org/10.3390/rs17091597
APA Style
El Bouanani, N., Laamrani, A., Hajji, H., Bourriz, M., Bourzeix, F., Ait Abdelali, H., El-Battay, A., Amazirh, A., & Chehbouni, A.
(2025). Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis. Remote Sensing, 17(9), 1597.
https://doi.org/10.3390/rs17091597
