Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables

Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables

The amount of water allocated to irrigation systems is significantly greater than the amount allocated to other sectors. Thus, irrigation water demand management is at the center of the attention of the Ministry of Agriculture and Forestry in Turkey. To plan more effective irrigation systems in agri...

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Bibliographic Details
Main Authors: Mohammad Taghi Sattari, Halit Apaydin, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Mathematics
Subjects:
reference evapotranspiration
deep learning
M5 tree model
random forest
random tree
regression tree
Online Access:https://www.mdpi.com/2227-7390/8/6/972

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