Multilayer perceptron for reference evapotranspiration estimation in a semiarid region

H Tabari, P Hosseinzadeh Talaee - Neural Computing and Applications, 2013 - Springer
Calculation of reference evapotranspiration (ET o) is essential in hydrology and agriculture.
ET o plays an important role in planning and management of water resources and irrigation …

Development of monthly reference evapotranspiration machine learning models and mapping of Pakistan—a comparative study

J Wang, A Raza, Y Hu, NA Buttar, M Shoaib, K Saber… - Water, 2022 - mdpi.com
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 …

[PDF][PDF] Application of artificial neural network to predict reference evapotranspiration in Famagusta, North Cyprus

J Abdullahi, G Elkiran, V Nourani - 11th International Scientific …, 2017 - researchgate.net
Accuracy in reference evapotranspiration (ETo) estimation is required for agricultural
production, water resources management and planning. To this effect, a three layered Feed …

Modelling reference evapotranspiration using principal component analysis and machine learning methods under different climatic environments

A Raza, K Saber, Y Hu, R L. Ray… - Irrigation and …, 2023 - Wiley Online Library
Reference evapotranspiration (ETo) is a complex process in the hydrologic cycle that
influences several hydrologic parameters. Although several methods have been developed …

[PDF][PDF] Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso

YM Wang, S Traore, T Kerh - WSEAS Transactions on Computers, 2008 - researchgate.net
The well known Penman-Monteith (PM) equation always performs the highest accuracy
results of estimating reference evapotranspiration (ETo) among the existing methods is …

Estimation of reference evapotranspiration using data driven techniques under limited data conditions

PK Pandey, T Nyori, V Pandey - Modeling Earth Systems and Environment, 2017 - Springer
Estimation of reference evapotranspiration (E T_0)(ET 0) is a major task in irrigation and
water resources development and management. In this context, the FAO56 Penman …

Model for prediction of evapotranspiration using MLP neural network

J Khoshhal, M Mokarram - International Journal of …, 2012 - indianjournals.com
Evapotranspiration is one of the main components of the hydrologic cycle. This complex
process is dependent on climatic factors. There are different methods to predict Reference …

Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models

D Sabanci, K Yurekli, MM Comert… - Hydrological …, 2023 - Taylor & Francis
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 …

Performance evaluation of five machine learning algorithms for estimating reference evapotranspiration in an arid climate

A Raza, R Fahmeed, NR Syed, OM Katipoğlu, M Zubair… - Water, 2023 - mdpi.com
The Food and Agriculture Organization recommends that the Penman–Monteith Method
contains Equation 56 (PMF) as a widely accepted standard for reference evapotranspiration …

Comparison of predictions of daily evapotranspiration based on climate variables using different data mining and empirical methods in various climates of Iran

S Sharafi, MM Ghaleni, M Scholz - Heliyon, 2023 - cell.com
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 …