Short- and mid-term forecasts of actual evapotranspiration with deep learning

Author:

Babaeian Ebrahim,Paheding Sidike,Siddique Nahian,Devabhaktuni Vijay K.,Tuller Markus

Funder

U.S. Department of Agriculture

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference86 articles.

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4. Assessing integrity of weather data for use in reference evapotranspiration estimation;Allen;J. Irrig. Drain. Eng.,1996

5. A state-of-the-art survey on deep learning theory and architectures;Alom;Electronics.,2019

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