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 …
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …
impact on efficient water resource planning and long-term management. The Penman …
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …
in optimizing agricultural water consumption and water resources management. In the …
Evaluation of machine learning versus empirical models for monthly reference evapotranspiration estimation in Uttar Pradesh and Uttarakhand States, India
Reference evapotranspiration (ETo) plays an important role in agriculture applications such
as irrigation scheduling, crop simulation, water budgeting, and reservoir operations …
as irrigation scheduling, crop simulation, water budgeting, and reservoir operations …
Ensemble learning-based estimation of reference evapotranspiration (ETo)
Reference Evapotranspiration (ET o) is crucial and influential in irrigation water
management. Precise ET o rate estimation is vital for successful agriculture water …
management. Precise ET o rate estimation is vital for successful agriculture water …
Evaporation prediction with wavelet-based hyperparameter optimized K-nearest neighbors and extreme gradient boosting algorithms in a semi-arid environment
OM Katipoğlu - Environmental Processes, 2023 - Springer
The study aims to reveal which mother wavelet type performs best in evaporation prediction.
This study used a hybrid algorithm that combined K-Nearest Neighbors (KNN), Extreme …
This study used a hybrid algorithm that combined K-Nearest Neighbors (KNN), Extreme …
Establishment of Dynamic Evolving Neural‐Fuzzy Inference System Model for Natural Air Temperature Prediction
Air temperature (AT) prediction can play a significant role in studies related to climate
change, radiation and heat flux estimation, and weather forecasting. This study applied and …
change, radiation and heat flux estimation, and weather forecasting. This study applied and …
High Resolution Reference Evapotranspiration for Arid Egypt: Comparative analysis and evaluation of empirical and artificial intelligence models
Accurate estimation of evapotranspiration has crucial importance in arid regions like Egypt,
which suffers from the scarcity of precipitation and water shortages. This study provides an …
which suffers from the scarcity of precipitation and water shortages. This study provides an …
Development of a temperature-based model using machine learning algorithms for the projection of Evapotranspiration of Peninsular Malaysia
Reliable projections of evapotranspiration (ET) are important for agricultural and water
resources development, planning, and management. However, ET projections using well …
resources development, planning, and management. However, ET projections using well …
Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine …
P Majumdar, D Bhattacharya, S Mitra - Theoretical and Applied …, 2023 - Springer
Rice cultivation demands adequate soil water balance in each growth stage and estimation
of evapotranspiration and soil moisture are the most contributing factors for determining this …
of evapotranspiration and soil moisture are the most contributing factors for determining this …