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 …
Artificial neural networks approach in evapotranspiration modeling: a review
The use of artificial neural networks (ANNs) in estimation of evapotranspiration has received
enormous interest in the present decade. Several methodologies have been reported in the …
enormous interest in the present decade. Several methodologies have been reported in the …
Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran
J Shiri, AH Nazemi, AA Sadraddini, G Landeras… - … and Electronics in …, 2014 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) values is of crucial importance in
hydrology, agriculture and agro-meteorology issues. The present study reports a …
hydrology, agriculture and agro-meteorology issues. The present study reports a …
An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs
Precise estimation of evapotranspiration is crucial for accurate crop-water estimation.
Recently machine learning (ML) techniques like artificial neural network (ANN) are being …
Recently machine learning (ML) techniques like artificial neural network (ANN) are being …
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 …
Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an …
In this study, a hybrid model of least square support vector machine-gamma test (LSSVM-
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …
Generalizability of gene expression programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran
When dealing with climatic variables, the performance assessment of many Artificial
Intelligence (AI) and/or data mining applications is based on a single data set assignment of …
Intelligence (AI) and/or data mining applications is based on a single data set assignment of …
Modeling daily reference evapotranspiration (ET0) in the north of Algeria using generalized regression neural networks (GRNN) and radial basis function neural …
Estimation of reference evapotranspiration (ET 0) is needed to support irrigation design and
scheduling, and watershed hydrology studies. There are many available methods to …
scheduling, and watershed hydrology studies. There are many available methods to …
[HTML][HTML] Generalization Ability of Bagging and Boosting Type Deep Learning Models in Evapotranspiration Estimation
The potential of generalized deep learning models developed for crop water estimation was
examined in the current study. This study was conducted in a semiarid region of India, ie …
examined in the current study. This study was conducted in a semiarid region of India, ie …
Development of monthly reference evapotranspiration machine learning models and mapping of Pakistan—a comparative study
Accurate estimation of reference evapotranspiration (ETo) plays a vital role in irrigation and
water resource planning. The Penman–Monteith method recommended by the Food and …
water resource planning. The Penman–Monteith method recommended by the Food and …