| contributor author | Shabani, Ali | |
| contributor author | Shahabi Zad, Vahid | |
| contributor author | Sepaskhah, Ali Reza | |
| contributor author | Mahmoudi, Mohammad Reza | |
| contributor author | Roshanzamir, Mohamad | |
| date accessioned | 2026-08-20T11:09:33Z | |
| date available | 2026-08-20T11:09:33Z | |
| date copyright | 2025/09/24 | |
| date issued | 2025 | |
| identifier other | JIDEDH.IRENG-10607.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311772 | |
| description abstract | AbstractThis study investigated the wetting patterns of surface and buried drip irrigation
systems across three distinct soil textures: sandy loam, loam, and clay loam. The
research employed analytical methods, multiple polynomial regression analysis, and
... | |
| publisher | American Society of Civil Engineers | |
| title | Comparison of Analytical, Multiple Polynomial Regression, and Artificial Neural Networks to Estimate Wetting Parameters for Surface and Buried Drip Irrigation across Three Different Soil Textures | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 6 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/JIDEDH.IRENG-10607 | |
| journal fristpage | 04025041-1 | |
| journal lastpage | 04025041-16 | |
| page | 16 | |
| tree | Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006 | |
| contenttype | Fulltext | |
