Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods
S Bayram, H Çıtakoğlu - Environmental Monitoring and Assessment, 2023 - Springer
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models
This paper aimed to estimate the reference evapotranspiration (ET0) due to some limitations
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
Comparison of predictions of daily evapotranspiration based on climate variables using different data mining and empirical methods in various climates of Iran
To accurately manage water resources, a precise prediction of reference evapotranspiration
(ET ref) is necessary. The best empirical equations to determine ET ref are usually the …
(ET ref) is necessary. The best empirical equations to determine ET ref are usually the …
Estimation of reference evapotranspiration based on machine learning models and timeseries analysis: a case study in an arid climate
Water scarcity is a major challenge for irrigated agriculture, particularly in developing
countries where access to meteorological data for calculating reference evapotranspiration …
countries where access to meteorological data for calculating reference evapotranspiration …
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 …
Estimation of reference evapotranspiration using spatial and temporal machine learning approaches
Evapotranspiration (ET) is widely employed to measure amounts of total water loss between
land and atmosphere due to its major contribution to water balance on both regional and …
land and atmosphere due to its major contribution to water balance on both regional and …
General and regional cross-station assessment of machine learning models for estimating reference evapotranspiration
Y Zouzou, H Citakoglu - Acta Geophysica, 2023 - Springer
Significant research has been done on estimating reference evapotranspiration (ET 0) from
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
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 …
Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data
The estimation of reference evapotranspiration (ET0) is important in hydrology research,
irrigation scheduling design and water resources management. This study explored the …
irrigation scheduling design and water resources management. This study explored the …