Cite
Predicting wheat yield gap and its determinants combining remote sensing, machine learning, and survey approaches in rainfed Mediterranean regions of Morocco.
MLA
Devkota, Krishna Prasad, et al. “Predicting Wheat Yield Gap and Its Determinants Combining Remote Sensing, Machine Learning, and Survey Approaches in Rainfed Mediterranean Regions of Morocco.” European Journal of Agronomy, vol. 158, Aug. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.eja.2024.127195.
APA
Devkota, K. P., Bouasria, A., Devkota, M., & Nangia, V. (2024). Predicting wheat yield gap and its determinants combining remote sensing, machine learning, and survey approaches in rainfed Mediterranean regions of Morocco. European Journal of Agronomy, 158, N.PAG. https://doi.org/10.1016/j.eja.2024.127195
Chicago
Devkota, Krishna Prasad, Abdelkrim Bouasria, Mina Devkota, and Vinay Nangia. 2024. “Predicting Wheat Yield Gap and Its Determinants Combining Remote Sensing, Machine Learning, and Survey Approaches in Rainfed Mediterranean Regions of Morocco.” European Journal of Agronomy 158 (August): N.PAG. doi:10.1016/j.eja.2024.127195.