Crop evapotranspiration estimation with FAO56: Past and future

LS Pereira, RG Allen, M Smith, D Raes - Agricultural water management, 2015 - Elsevier
Abstract The FAO Irrigation and Drainage Paper No 56 on Crop Evapotranspiration has
been in publication for more than 15 years. The paper advanced the accuracy and …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang, L Zhao - Agricultural Water Management, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in …

L Wu, H Zhou, X Ma, J Fan, F Zhang - Journal of Hydrology, 2019 - Elsevier
Reliable and accurate prediction of reference evapotranspiration (ETo) is a precondition for
the efficient management and planning of agricultural water resources as well as the optimal …

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 …

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 …

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

AP Patil, PC Deka - Computers and Electronics in Agriculture, 2016 - Elsevier
Precise estimation of evapotranspiration is crucial for accurate crop-water estimation.
Recently machine learning (ML) techniques like artificial neural network (ANN) are being …

Generalizability of gene expression programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

J Shiri, AA Sadraddini, AH Nazemi, O Kisi… - Journal of …, 2014 - Elsevier
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 …

Modeling daily reference evapotranspiration (ET0) in the north of Algeria using generalized regression neural networks (GRNN) and radial basis function neural …

I Ladlani, L Houichi, L Djemili, S Heddam… - … and Atmospheric Physics, 2012 - Springer
Estimation of reference evapotranspiration (ET 0) is needed to support irrigation design and
scheduling, and watershed hydrology studies. There are many available methods to …

Using weather forecast data for irrigation scheduling under semi-arid conditions

IJ Lorite, JM Ramírez-Cuesta, M Cruz-Blanco… - Irrigation science, 2015 - Springer
A new methodology based on the use of weather forecast data from freely and easily
accessible online information for determining irrigation scheduling has been developed …

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 …