Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation

F Ahmadi, S Mehdizadeh, B Mohammadi… - Agricultural Water …, 2021 - Elsevier
Reference evapotranspiration (ET 0) is one of the most important parameters, which is
required in many fields such as hydrological, agricultural, and climatological studies …

Estimation of daily reference evapotranspiration (ETo) using artificial intelligence methods: Offering a new approach for lagged ETo data-based modeling

S Mehdizadeh - Journal of hydrology, 2018 - Elsevier
Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

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 …

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

Y Tikhamarine, A Malik, D Souag-Gamane… - … Science and Pollution …, 2020 - Springer
Accurate estimation of reference evapotranspiration (ET o) is profoundly crucial in crop
modeling, sustainable management, hydrological water simulation, and irrigation …

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

O Kisi, H Sanikhani, M Zounemat-Kermani… - … and Electronics in …, 2015 - Elsevier
In this study, the ability of four different data-driven methods, multilayer perceptron artificial
neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) with grid partition …

Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey …

S Maroufpoor, O Bozorg-Haddad, E Maroufpoor - Journal of Hydrology, 2020 - Elsevier
Reference Evapotranspiration (ET o) is one of the key components of the hydrological cycle
that is effective in water resources planning, irrigation and agricultural management and …

Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data

L Wu, Y Peng, J Fan, Y Wang - Hydrology Research, 2019 - iwaponline.com
The estimation of reference evapotranspiration (ET0) is important in hydrology research,
irrigation scheduling design and water resources management. This study explored the …

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 …

Empirical and learning machine approaches to estimating reference evapotranspiration based on temperature data

MM Reis, AJ da Silva, JZ Junior, LDT Santos… - … and electronics in …, 2019 - Elsevier
The precise estimation of reference evapotranspiration (ET 0) is crucial for the planning and
management of water resources and agricultural production. In this study, the applicability of …

Reference evapotranspiration prediction using neural networks and optimum time lags

M Gocić, M Arab Amiri - Water Resources Management, 2021 - Springer
The reference evapotranspiration (ET 0) plays a significant role especially in agricultural
water management and water resources planning for irrigation. It can be calculated using …