APA (7th ed.) Citation

Al-Taher, R. H., Abuarab, M. E., Ahmed, A. A. S., Hamed, M. M., Salem, A., Helalia, S. 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 (Basel), 16(22), 3241. https://doi.org/10.3390/w16223241

Chicago Style (17th ed.) Citation

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. "Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan." Water (Basel) 16, no. 22 (2024): 3241. https://doi.org/10.3390/w16223241.

MLA (9th ed.) Citation

Al-Taher, Rogaia H., et al. "Predicting Green Water Footprint of Sugarcane Crop Using Multi-Source Data-Based and Hybrid Machine Learning Algorithms in White Nile State, Sudan." Water (Basel), vol. 16, no. 22, 2024, p. 3241, https://doi.org/10.3390/w16223241.