Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia-Reference-Cited by-同舟云学术

Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia

Published:2022-11 Issue: Volume:202 Page:107403
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Azzam Abdullah,Zhang Wanchang,Akhtar Fazlullah,Shaheen Zubair,Elbeltagi Ahmed

Publisher

Elsevier BV

Subject

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

Reference85 articles.

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5. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998a. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome 300, D05109.

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