Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models

Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models

Precise forecasting of reference evapotranspiration (ET<sub>0</sub>) is one of the critical initial steps in determining crop water requirements, which contributes to the reliable management and long-term planning of the world’s scarce water sources. This study provides daily prediction...

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Bibliographic Details
Main Authors: Dilip Kumar Roy, Tapash Kumar Sarkar, Sheikh Shamshul Alam Kamar, Torsha Goswami, Md Abdul Muktadir, Hussein M. Al-Ghobari, Abed Alataway, Ahmed Z. Dewidar, Ahmed A. El-Shafei, Mohamed A. Mattar
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Agronomy
Subjects:
deep learning
recurrent neural networks
machine learning algorithms
reference evapotranspiration
Online Access:https://www.mdpi.com/2073-4395/12/3/594

Internet

https://www.mdpi.com/2073-4395/12/3/594

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