A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
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 …
[HTML][HTML] Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models
Predicting crop yield is an important issue for farmers. Food security is important for decision-
makers. The agriculture industry can more accurately supply human demand for food if the …
makers. The agriculture industry can more accurately supply human demand for food if the …
Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach
Pan evaporation (E p) is an efficient and practical tool for planning and managing water
resources, understanding the water balance in hydrological processes, and developing …
resources, understanding the water balance in hydrological processes, and developing …
Artificial neural networks for the prediction of the reference evapotranspiration of the Peloponnese Peninsula, Greece
S Dimitriadou, KG Nikolakopoulos - Water, 2022 - mdpi.com
The aim of the study was to investigate the utility of artificial neural networks (ANNs) for the
estimation of reference evapotranspiration (ETo) on the Peloponnese Peninsula in Greece …
estimation of reference evapotranspiration (ETo) on the Peloponnese Peninsula in Greece …
Advanced hybrid metaheuristic machine learning models application for reference crop evapotranspiration prediction
Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …
provides precise reference evapotranspiration (ETo) prediction that is highly important for …
[HTML][HTML] Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging
Streamflow prediction help the modelers to manage water resources in watersheds. It gives
essential information for flood control and reservoir operation. This study uses the copula …
essential information for flood control and reservoir operation. This study uses the copula …
Inclusive multiple model using hybrid artificial neural networks for predicting evaporation
Predicting evaporation is essential for managing water resources in basins. Improvement of
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …
Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR
The elemental composition of coal and biomass provides significant parameters used in the
design of almost all energy conversion systems and projects. The laboratory tests to …
design of almost all energy conversion systems and projects. The laboratory tests to …
Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm
For effective planning of irrigation scheduling, water budgeting, crop simulation, and water
resources management, the accurate estimation of reference evapotranspiration (ET o) is …
resources management, the accurate estimation of reference evapotranspiration (ET o) is …