Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models

MLA

Ali Mokhtar, et al. “Securing China’s Rice Harvest: Unveiling Dominant Factors in Production Using Multi-Source Data and Hybrid Machine Learning Models.” Scientific Reports, vol. 14, no. 1, June 2024, pp. 1–16. EBSCOhost, https://doi.org/10.1038/s41598-024-64269-0.

APA

Ali Mokhtar, Hongming He, Mohsen Nabil, Saber Kouadri, Ali Salem, & Ahmed Elbeltagi. (2024). Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models. Scientific Reports, 14(1), 1–16. https://doi.org/10.1038/s41598-024-64269-0

Chicago

Ali Mokhtar, Hongming He, Mohsen Nabil, Saber Kouadri, Ali Salem, and Ahmed Elbeltagi. 2024. “Securing China’s Rice Harvest: Unveiling Dominant Factors in Production Using Multi-Source Data and Hybrid Machine Learning Models.” Scientific Reports 14 (1): 1–16. doi:10.1038/s41598-024-64269-0.