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Performance Evaluation of Reference Evapotranspiration Estimation Using Climate Based Methods and Artificial Neural Networks

✍ Scribed by Seema Chauhan; R. K. Shrivastava

Publisher
Springer Netherlands
Year
2008
Tongue
English
Weight
323 KB
Volume
23
Category
Article
ISSN
0920-4741

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✍ Xiaoqin Dai; Haibin Shi; Yunsheng Li; Zhu Ouyang; Zailin Huo πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 178 KB πŸ‘ 1 views

## Abstract Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. In this study, an artificial neural network (ANN) model for reference evapotranspiration (ET~0~) calculation was investigated. ANNs were trained