An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …

ZM Yaseen, SO Sulaiman, RC Deo, KW Chau - Journal of Hydrology, 2019 - Elsevier
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …

Data-driven water need estimation for IoT-based smart irrigation: A survey

R Togneri, R Prati, H Nagano, C Kamienski - Expert Systems with …, 2023 - Elsevier
Precision irrigation plays an important socio-economic and environmental role in our
society, reducing water and electricity consumption and increasing food production. An …

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

G Huang, L Wu, X Ma, W Zhang, J Fan, X Yu, W Zeng… - Journal of …, 2019 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is critical for water resource
management and irrigation scheduling. This study evaluated the potential of a new machine …

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …

J Fan, W Yue, L Wu, F Zhang, H Cai, X Wang… - Agricultural and forest …, 2018 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …

Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods

Z Chen, Z Zhu, H Jiang, S Sun - Journal of Hydrology, 2020 - Elsevier
To evaluate the performance of deep learning methods (DL) for reference
evapotranspiration estimation and to assess the applicability of the developed DL models …

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

J Fan, X Ma, L Wu, F Zhang, X Yu, W Zeng - Agricultural water management, 2019 - Elsevier
Accurate estimation of reference evapotranspiration (ETo) is required in many fields, eg
irrigation scheduling design, agricultural water management, crop growth modeling and …

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach

LB Ferreira, FF da Cunha, RA de Oliveira… - Journal of …, 2019 - Elsevier
Reference evapotranspiration (ET o) is a variable of great importance for several purposes,
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

T Wu, W Zhang, X Jiao, W Guo, YA Hamoud - Computers and Electronics in …, 2021 - Elsevier
Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

MK Saggi, S Jain - Computers and Electronics in Agriculture, 2019 - Elsevier
Over the last decade, the combination of both big data and machine learning research
area's receiving considerable attention and expedite the prospect of the agricultural industry …