Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning-Reference-Cited by-同舟云学术

Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning

Published:2023 Issue:2 Volume:36 Page:1915-1930
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Nawaz Bashir Rab,Sarwar Bajwa Imran,Waseem Iqbal Muhammad,Usman Ashraf Muhammad,Mohammed Alghamdi Ahmed,A. Bahaddad Adel,Ali Almarhabi Khalid

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v36n2/51114/pdf

Reference51 articles.

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3. Internet of things and machine-learning-based leaching requirements estimation for saline soils;Bashir;IEEE Internet of Things Journal,2019

4. Diurnal evapotranspiration and its controlling factors of alpine ecosystems during the growing season in northeast qinghai-tibet plateau;Liao;Water (Switzerland),2022

5. Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change;Lai;Agricultural Water Management,2022

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