Author:
Hadadi Fatemeh,Moazenzadeh Roozbeh,Mohammadi Babak
Subject
Water Science and Technology
Reference70 articles.
1. Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation;Ahmadi;Agric. Water Manag.,2021
2. Allen, R.G., Pereira, L.S., Raes, D., Smith, M. 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements - FAO Irrigation and Drainage Paper 56, Irrigation and Drainage. FAO.
3. Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables;Antonopoulos;Comput. Electron. Agric.,2017
4. A remote sensing-based two-leaf canopy conductance model: Global optimization and applications in modeling gross primary productivity and evapotranspiration of crops;Bai;Remote Sens. Environ.,2018
5. On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient;Bai;Agric. For. Meteorol.,2021
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