Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model

An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the terrestrial ecosystem. Reliable ST prediction is...

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Bibliographic Details
Main Authors: Liu Penghui, Ahmed A. Ewees, Beste Hamiye Beyaztas, Chongchong Qi, Sinan Q. Salih, Nadhir Al-Ansari, Suraj Kumar Bhagat, Zaher Mundher Yaseen, Vijay P. Singh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Air temperature
soil temperature
hybrid intelligence model
metaheuristic
North Dakota region
Online Access:https://ieeexplore.ieee.org/document/9031319/

Internet

https://ieeexplore.ieee.org/document/9031319/

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