Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran

Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran

Estimating soil temperature (ST) profile is identified as essential knowledge for plants, crop growth, and germination in all agriculture regions. In this study, daily soil temperature (DST) was modeled using Multilayer perceptron (MLP) model, Gaussian Process (GP), Random Forest (RF), and the M5P m...

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Bibliographic Details
Main Authors: Parveen Sihag, Fatemeh Esmaeilbeiki, Balraj Singh, Siraj Muhammed Pandhiani
Format: Article
Language:English
Published: Taylor & Francis Group 2020-07-01
Series:Geology, Ecology, and Landscapes
Subjects:
daily soil temperature
multilayer perceptron model
gaussian process
random forest
m5p model
Online Access:http://dx.doi.org/10.1080/24749508.2019.1610841

Internet

http://dx.doi.org/10.1080/24749508.2019.1610841

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