Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

J Fan, X Ma, L Wu, F Zhang, X Yu, W Zeng - Agricultural water management, 2019 - Elsevier
Accurate estimation of reference evapotranspiration (ETo) is required in many fields, eg
irrigation scheduling design, agricultural water management, crop growth modeling 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 …

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 …

Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China

Y Feng, Y Jia, N Cui, L Zhao, C Li, D Gong - Agricultural Water …, 2017 - Elsevier
Accurate estimation of reference evapotranspiration is vital to hydrological and ecological
processes. The FAO-56 Penman–Monteith (PM) model has the higher accuracy for ET 0 …

A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions …

S Yan, L Wu, J Fan, F Zhang, Y Zou, Y Wu - Agricultural Water …, 2021 - Elsevier
The information of reference evapotranspiration (ET 0) is vital for optimizing irrigation
scheduling, planning water resources and assessing hydrological drought. However …

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 …

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands

D Tang, Y Feng, D Gong, W Hao, N Cui - Computers and electronics in …, 2018 - Elsevier
Although many studies have demonstrated the good performances of artificial intelligence
(AI) approaches for reference evapotranspiration modeling, the applicability of AI …

New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain

JA Bellido-Jiménez, J Estévez… - Agricultural Water …, 2021 - Elsevier
Abstract The estimation of Reference Evapotranspiration (ET 0) is crucial to estimate crop
water requirements, especially in developing countries and areas with scarce water …

Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data

F Salmasi, M Nouri, P Sihag, J Abraham - Water Supply, 2021 - iwaponline.com
Gates are commonly used to adjust water flow in open channels. By using an
oblique/inclined gate, the water transferring capacity of open irrigation canals can be …

Optimization of an extreme learning machine model with the sparrow search algorithm to estimate spring maize evapotranspiration with film mulching in the semiarid …

Y Jia, Y Su, R Zhang, Z Zhang, Y Lu, D Shi, C Xu… - … and Electronics in …, 2022 - Elsevier
Evapotranspiration (ET) is the crucial parameter of agricultural irrigation and the
hydrological cycle. To obtain the optimal estimation model of ET with film-mulching for spring …