Soil moisture estimation using novel bio-inspired soft computing approaches-Reference-Cited by-同舟云学术

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Soil moisture estimation using novel bio-inspired soft computing approaches

Published:2022-03-22 Issue:1 Volume:16 Page:826-840
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Moazenzadeh Roozbeh¹^ORCID,Mohammadi Babak²^ORCID,Safari Mir Jafar Sadegh³^ORCID,Chau Kwok-wing⁴^ORCID

Affiliation:

1. Department of Water Engineering, Faculty of Agriculture, Shahrood University of Technology, Shahrood, Iran

2. Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden

3. Department of Civil Engineering, Yaşar University, Izmir, Turkey

4. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2022.2037467

Reference79 articles.

1. Estimating soil moisture using remote sensing data: A machine learning approach

2. Prediction of flood hazard map based on hybrid fuzzy geographic information system and its application for Ayamama watershed

3. Estimation of Soil Solution Electrical Conductivity from Bulk Soil Electrical Conductivity in Sandy Soils

4. Soil moisture prediction with the ensemble Kalman filter: Handling uncertainty of soil hydraulic parameters

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