Forecasting daily potential evapotranspiration using machine learning and limited climatic data-Reference-Cited by-同舟云学术

Forecasting daily potential evapotranspiration using machine learning and limited climatic data

Published:2011-02 Issue:4 Volume:98 Page:553-562
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Torres Alfonso F.,Walker Wynn R.,McKee Mac

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference31 articles.

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2. Neural Networks for Pattern Recognition;Bishop,1995

3. Pan evaporation and evapotranspiration from climatic data;Christiansen;Proc. Am. Soc. Civil Eng., Journal of Irrigation and Drainage Engineering, ASCE,1968

4. Soil moisture prediction using support vector machines;Gill;American Water Resources Association,2006

5. Moisture availability and crop production;Hargreaves;Transactions, ASAE,1974

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