Al-Taher, R.H.; Abuarab, M.E.; Ahmed, A.A.-R.S.; Hamed, M.M.; Salem, A.; Helalia, S.A.; Hammad, E.A.; Mokhtar, A.
Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan. Water 2024, 16, 3241.
https://doi.org/10.3390/w16223241
AMA Style
Al-Taher RH, Abuarab ME, Ahmed AA-RS, Hamed MM, Salem A, Helalia SA, Hammad EA, Mokhtar A.
Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan. Water. 2024; 16(22):3241.
https://doi.org/10.3390/w16223241
Chicago/Turabian Style
Al-Taher, Rogaia H., Mohamed E. Abuarab, Abd Al-Rahman S. Ahmed, Mohammed Magdy Hamed, Ali Salem, Sara Awad Helalia, Elbashir A. Hammad, and Ali Mokhtar.
2024. "Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan" Water 16, no. 22: 3241.
https://doi.org/10.3390/w16223241
APA Style
Al-Taher, R. H., Abuarab, M. E., Ahmed, A. A. -R. S., Hamed, M. M., Salem, A., Helalia, S. A., Hammad, E. A., & Mokhtar, A.
(2024). Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan. Water, 16(22), 3241.
https://doi.org/10.3390/w16223241
