Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables-Reference-Cited by-同舟云学术

Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables

Published:2017-01 Issue: Volume:132 Page:86-96
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Antonopoulos Vassilis Z.,Antonopoulos Athanasios V.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference55 articles.

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3. 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, Rome, Italy.

4. Comparison of different methods for the estimation of the reference crop evapotranspiration in the Florina region;Ampas;WSEAS Trans. Environ. Development,2007

5. Simulation of water temperature and dissolved oxygen distribution in Lake Vegoritis;Antonopoulos;Greece. Ecol. Model.,2003

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