Estimation reference crop evapotranspiration (ET0) using artificial intelligence model in an arid climate with external data
Abstract Water resource management and crop growth control require the calculation of reference evapotranspiration (ET0), but meteorological data can often be incomplete, necessitating models with minimal inputs. This study was conducted in Iran’s arid synoptic stations of Sirjan and Kerman, where d...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
SpringerOpen
2023-12-01
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| Serie: | Applied Water Science |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/s13201-023-02058-2 |