Author:
Jia Yue,Su Yongjun,Zhang Ran,Zhang Zhaona,Lu Yukuo,Shi Dongxu,Xu Chaoqian,Huang Dongfeng
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference65 articles.
1. Extreme learning machines: a new approach for prediction of reference evapotranspiration;Abdullah;J. Hydrol.,2015
2. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration. Guide Lines for Computing Crop Evapotranspiration. FAO Irrigation and Drainage Paper no. 56, Rome, Italy.
3. Evapotranspiration information reporting: I. Factors governing measurement accuracy;Allen;Agric. Water Manage.,2011
4. Daily reference evapotranspiration estimates by artifcial neural networks technique and empirical equations using limited input climate variables;Antonopoulos;Comput. Electron. Agric.,2017
5. Combining stable isotopes, Eddy Covariance system and meteorological measurements for partitioning evapotranspiration, of winter wheat, into soil evaporation and plant transpiration in a semi-arid region;Aouade;Agric. Water Manage.,2016
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