Artificial neural networks approach in evapotranspiration modeling: a review

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A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives

P Goyal, S Kumar, R Sharda - Computers and Electronics in Agriculture, 2023 - Elsevier
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 …
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Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

M Zounemat-Kermani, E Matta, A Cominola, X **a… - Journal of …, 2020 - Elsevier
Neurocomputing methods have contributed significantly to the advancement of modelling
techniques in surface water hydrology and hydraulics in the last couple of decades, primarily …
Uložiť Citovať Citované 135-krát Súvisiace články Všetky verzie 10

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach

LB Ferreira, FF da Cunha, RA de Oliveira… - Journal of …, 2019 - Elsevier
Reference evapotranspiration (ET o) is a variable of great importance for several purposes,
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …
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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 …
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Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models

J Fan, J Zheng, L Wu, F Zhang - Agricultural Water Management, 2021 - Elsevier
Accurate measurement or estimation of plant transpiration (T) is of great significance for
understanding crop water use, predicting crop yield and designing irrigation schedule in …
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Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

MK Saggi, S Jain - Computers and Electronics in Agriculture, 2019 - Elsevier
Over the last decade, the combination of both big data and machine learning research
area's receiving considerable attention and expedite the prospect of the agricultural industry …
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New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning

LB Ferreira, FF da Cunha - Agricultural Water Management, 2020 - Elsevier
Computation of reference evapotranspiration (ETo) poses a challenge under limited
meteorological data availability. However, even in this case, hourly data may be available …
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Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

Y Feng, Y Peng, N Cui, D Gong, K Zhang - Computers and Electronics in …, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …
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Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

B Zhu, Y Feng, D Gong, S Jiang, L Zhao… - Computers and Electronics …, 2020 - Elsevier
Accurate prediction of reference evapotranspiration (ET o) is pivotal to the determination of
crop water requirement and irrigation scheduling in agriculture as well as water resources …
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Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model

X Han, Z Wei, B Zhang, Y Li, T Du, H Chen - Journal of hydrology, 2021 - Elsevier
Accurate prediction of crop evapotranspiration (ET c) can provide a scientific basis for
improving water use efficiency, rational allocation of water resources, and sustainable …
Uložiť Citovať Citované 107-krát Súvisiace články Všetky verzie 4