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 …
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 …
Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
Accurate precipitation (P) short-term forecasts are important for engineering studies and
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
Development of boosted machine learning models for estimating daily reference evapotranspiration and comparison with empirical approaches
S Mehdizadeh, B Mohammadi, QB Pham, Z Duan - Water, 2021 - mdpi.com
Proper irrigation scheduling and agricultural water management require a precise
estimation of crop water requirement. In practice, reference evapotranspiration (ETo) is firstly …
estimation of crop water requirement. In practice, reference evapotranspiration (ETo) is firstly …
Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models
S Zhao, L Wu, Y Xiang, J Dong, Z Li, X Liu, Z Tang… - Renewable Energy, 2022 - Elsevier
The simulation of solar radiation is of great significance to the sustainable development of
energy, engineering, and many other fields. The Himawari series of satellites has the …
energy, engineering, and many other fields. The Himawari series of satellites has the …
Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference evapotranspiration in Hetao Irrigation District of China
H He, L Liu, X Zhu - Engineering Applications of Computational …, 2022 - Taylor & Francis
Due to frequent drought events, increased water demand for agricultural production and
limited, accurate estimation of reference evapotranspiration (ETo) is necessary for …
limited, accurate estimation of reference evapotranspiration (ETo) is necessary for …
Simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting
Dew point temperature (T dew) plays an important role in hydrology, meteorology, and other
related research. This study evaluated the ability of a new machine learning model (hybrid …
related research. This study evaluated the ability of a new machine learning model (hybrid …
Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation
L Gao, D Gong, N Cui, M Lv, Y Feng - Computers and Electronics in …, 2021 - Elsevier
Reference crop evapotranspiration (ET o) is a determinant factor in agricultural water
resource management. Therefore, accurate ET o information is critical to quantify crop water …
resource management. Therefore, accurate ET o information is critical to quantify crop water …
A novel hybrid GOA-XGB model for estimating wheat aboveground biomass using UAV-based multispectral vegetation indices
Y Han, R Tang, Z Liao, B Zhai, J Fan - Remote Sensing, 2022 - mdpi.com
The rapid and nondestructive determination of wheat aboveground biomass (AGB) is
important for accurate and efficient agricultural management. In this study, we established a …
important for accurate and efficient agricultural management. In this study, we established a …
Analysis of spatial-temporal trends and causes of vapor pressure deficit in China from 1961 to 2020
Understanding the spatial-temporal trends and variability of vapor pressure deficit (VPD) is
important for promoting climate protection and water management. This study was based on …
important for promoting climate protection and water management. This study was based on …