Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms-Reference-Cited by-同舟云学术

Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms

Published:2022-07 Issue: Volume:269 Page:107679
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Jamei Mehdi,Karbasi Masoud,Malik Anurag,Jamei Mozhdeh,Kisi Ozgur,Yaseen Zaher Mundher

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference75 articles.

1. Modelling of soil moisture retention curve using machine learning techniques: artificial and deep neural networks vs support vector regression models;Achieng;Comput. Geosci.,2019

2. Estimating soil moisture using remote sensing data: a machine learning approach;Ahmad;Adv. Water Resour.,2010

3. A novel hybrid wavelet-locally weighted linear regression (W-LWLR) model for electrical conductivity (EC) prediction in water surface;Ahmadianfar;J. Contam. Hydrol.,2020

4. LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4. 5 and RCP8. 5 global warming scenarios;Ahmed;Stoch. Environ. Res. Risk Assess.,2021

5. Al-Yaari, A., 2014. Global-scale Evaluation of a Hydrological Variable Measured from Space: SMOS Satellite Remote Sensing Soil Moisture Products (Doctoral thesis), Pierre and Marie Curie University.

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of the gully erosion susceptibility by using UAV and hybrid models based on machine learning;Soil and Tillage Research;2024-12

2. Application of machine learning and fuzzy AHP for identification of suitable groundwater potential zones using field based hydrogeophysical and soil hydraulic factors in a complex hydrogeological terrain;Groundwater for Sustainable Development;2024-11

3. Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm;Scientific Reports;2024-07-01

4. Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature;Air Quality, Atmosphere & Health;2024-06-29

5. Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning;Computers and Electronics in Agriculture;2024-06