Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects
Neurocomputing methods have contributed significantly to the advancement of modelling
techniques in surface water hydrology and hydraulics in the last couple of decades, primarily …
techniques in surface water hydrology and hydraulics in the last couple of decades, primarily …
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 …
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
Accurate estimation of reference evapotranspiration (ETo) is required in many fields, eg
irrigation scheduling design, agricultural water management, crop growth modeling and …
irrigation scheduling design, agricultural water management, crop growth modeling and …
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 …
Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions
Evapotranspiration is an important quantity required in many applications, such as
hydrology and agricultural and irrigation planning. Reference evapotranspiration is …
hydrology and agricultural and irrigation planning. Reference evapotranspiration is …
Evaluation of data-driven hybrid machine learning algorithms for modelling daily reference evapotranspiration
Reference evapotranspiration (ET0) is one of the crucial variables used for irrigation
scheduling, agricultural production, and water balance studies. This study compares six …
scheduling, agricultural production, and water balance studies. This study compares six …
New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain
JA Bellido-Jiménez, J Estévez… - Agricultural Water …, 2021 - Elsevier
Abstract The estimation of Reference Evapotranspiration (ET 0) is crucial to estimate crop
water requirements, especially in developing countries and areas with scarce water …
water requirements, especially in developing countries and areas with scarce water …
Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration
Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial
for irrigation scheduling design and agricultural water management. This study evaluated …
for irrigation scheduling design and agricultural water management. This study evaluated …
Parameter optimisation-based hybrid reference evapotranspiration prediction models: A systematic review of current implementations and future research directions
HE Khairan, SL Zubaidi, YR Muhsen, N Al-Ansari - Atmosphere, 2022 - mdpi.com
A hybrid machine learning (ML) model is becoming a common trend in predicting reference
evapotranspiration (ETo) research. This study aims to systematically review ML models that …
evapotranspiration (ETo) research. This study aims to systematically review ML models that …
Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT
Accurate estimation of Reference Evapotranspiration (ET 0) is important for efficient
management and conservation of irrigation water. Existing methods of ET 0 rate …
management and conservation of irrigation water. Existing methods of ET 0 rate …