| contributor author | Pinarlik, Murat | |
| contributor author | Bostancioglu, Burak | |
| contributor author | Adeloye, Adebayo J. | |
| contributor author | Selek, Bulent | |
| date accessioned | 2026-08-20T11:10:12Z | |
| date available | 2026-08-20T11:10:12Z | |
| date copyright | 2026/04/07 | |
| date issued | 2026 | |
| identifier other | JIDEDH.IRENG-10693.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311788 | |
| description abstract | AbstractAccurate estimation of reference evapotranspiration (ET0) is critical for efficient irrigation planning and water resource management, particularly
in semiarid regions where meteorological data are limited. This study compares the
performance of ...Practical ApplicationsThis study presents a practical solution for regions with limited weather data by
showing how ML can accurately estimate reference ET0, a key factor in managing water for agriculture, drought planning, and irrigation.
Traditional ... | |
| publisher | American Society of Civil Engineers | |
| title | Comparison of Machine Learning and Empirical Methods for Data-Efficient Estimation of Reference Evapotranspiration in a Semiarid Region | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 3 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/JIDEDH.IRENG-10693 | |
| journal fristpage | 04026006-1 | |
| journal lastpage | 04026006-12 | |
| page | 12 | |
| tree | Journal of Irrigation and Drainage Engineering:;2026:;Volume ( 152 ):;issue: 003 | |
| contenttype | Fulltext | |