Soil moisture estimation using novel bio-inspired soft computing approaches

Soil moisture estimation using novel bio-inspired soft computing approaches

Soil moisture (SM) is of paramount importance in irrigation scheduling, infiltration, runoff, and agricultural drought monitoring. This work aimed at evaluating the performance of the classical ANFIS (Adaptive Neuro-Fuzzy Inference System) model as well as ANFIS coupled with three bio-inspired metah...

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Bibliographic Details
Main Authors: Roozbeh Moazenzadeh, Babak Mohammadi, Mir Jafar Sadegh Safari, Kwok-wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
ANFIS
bio-inspired optimization algorithms
data-driven models
meteorological variables
soil moisture
Turkey
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2022.2037467

Internet

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

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