Recent advances in evapotranspiration estimation using artificial intelligence approaches with a focus on hybridization techniques—a review
Difficulties are faced when formulating hydrological processes, including that of
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso
Abstract Reference Evapotranspiration (ETo) is one of the major components of the
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
[HTML][HTML] A novel methodology to predict monthly municipal water demand based on weather variables scenario
This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …
weather variables scenarios by using combined techniques including discrete wavelet …
Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches
In this research, five hybrid novel machine learning approaches, artificial neural network
(ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO) …
(ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO) …
Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies
This study investigates the potential of two evolutionary neuro-fuzzy inference systems,
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
A deep neural network architecture to model reference evapotranspiration using a single input meteorological parameter
SM Ravindran, SKM Bhaskaran, SKN Ambat - Environmental processes, 2021 - Springer
Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …
Optimization algorithms as training approaches for prediction of reference evapotranspiration using adaptive neuro fuzzy inference system
Abstract Reference evapotranspiration (ET 0), widely used in efficient and meaningful
scheduling of irrigation events, is an essential component of agricultural water management …
scheduling of irrigation events, is an essential component of agricultural water management …
Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine
Reference evapotranspiration (ET 0) is usually calculated as a pre-requisite to obtain the
actual evapotranspiration (ET). Estimation of ET 0 using extreme learning machine (ELM) is …
actual evapotranspiration (ET). Estimation of ET 0 using extreme learning machine (ELM) is …
Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology
J Shiri - Journal of Hydrology, 2018 - Elsevier
Among different reference evapotranspiration (ET o) modeling approaches, mass transfer-
based methods have been less studied. These approaches utilize temperature and wind …
based methods have been less studied. These approaches utilize temperature and wind …