| contributor author | Sahoo, Bibhuti Bhusan | |
| contributor author | Najafzadeh, Mohammad | |
| contributor author | DT, Santosh | |
| contributor author | Jithendra, Thandra | |
| contributor author | Panigrahi, Banamali | |
| contributor author | Mishra, Shuchi | |
| contributor author | Gupta, Sushindra Kumar | |
| contributor author | Bhushan, Mani | |
| date accessioned | 2026-08-20T11:08:41Z | |
| date available | 2026-08-20T11:08:41Z | |
| date copyright | 2025/06/28 | |
| date issued | 2025 | |
| identifier other | JIDEDH.IRENG-10441.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311752 | |
| description abstract | AbstractAccurate determination of reference evapotranspiration (ET0) is crucial for optimizing irrigation scheduling in greenhouse environments, ensuring
optimal plant growth and resource management. This study aims to identify the most
accurate method for ... | |
| publisher | American Society of Civil Engineers | |
| title | Comparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 5 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/JIDEDH.IRENG-10441 | |
| journal fristpage | 04025024-1 | |
| journal lastpage | 04025024-15 | |
| page | 15 | |
| tree | Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 005 | |
| contenttype | Fulltext | |
