Cite

Estimation of Daily Reference Evapotranspiration Without the Need for Wind Speed Using Machine Learning and Hybrid Models in Tabriz and Urmia Synoptic Stations.

MLA

Garebagh, H.Aghamohammadpoor, et al. “Estimation of Daily Reference Evapotranspiration Without the Need for Wind Speed Using Machine Learning and Hybrid Models in Tabriz and Urmia Synoptic Stations.” Water & Soil Science, vol. 34, no. 3, Sept. 2024, pp. 71–87. EBSCOhost, https://doi.org/10.22034/ws.2023.54488.2536.



APA

Garebagh, H. A., Behmanesh, J., & Besharat, S. (2024). Estimation of Daily Reference Evapotranspiration Without the Need for Wind Speed Using Machine Learning and Hybrid Models in Tabriz and Urmia Synoptic Stations. Water & Soil Science, 34(3), 71–87. https://doi.org/10.22034/ws.2023.54488.2536



Chicago

Garebagh, H. Aghamohammadpoor, J. Behmanesh, and S. Besharat. 2024. “Estimation of Daily Reference Evapotranspiration Without the Need for Wind Speed Using Machine Learning and Hybrid Models in Tabriz and Urmia Synoptic Stations.” Water & Soil Science 34 (3): 71–87. doi:10.22034/ws.2023.54488.2536.