Cite
Resolving data-hungry nature of machine learning reference evapotranspiration estimating models using inter-model ensembles with various data management schemes.
MLA
Chia, Min Yan, et al. “Resolving Data-Hungry Nature of Machine Learning Reference Evapotranspiration Estimating Models Using Inter-Model Ensembles with Various Data Management Schemes.” Agricultural Water Management, vol. 261, Mar. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.agwat.2021.107343.
APA
Chia, M. Y., Huang, Y. F., & Koo, C. H. (2022). Resolving data-hungry nature of machine learning reference evapotranspiration estimating models using inter-model ensembles with various data management schemes. Agricultural Water Management, 261, N.PAG. https://doi.org/10.1016/j.agwat.2021.107343
Chicago
Chia, Min Yan, Yuk Feng Huang, and Chai Hoon Koo. 2022. “Resolving Data-Hungry Nature of Machine Learning Reference Evapotranspiration Estimating Models Using Inter-Model Ensembles with Various Data Management Schemes.” Agricultural Water Management 261 (March): N.PAG. doi:10.1016/j.agwat.2021.107343.