Estimation of daily soil temperature via data mining techniques in semi-arid climate conditions

Estimation of daily soil temperature via data mining techniques in semi-arid climate conditions

This paper investigates the potential of data mining techniques to predict daily soil temperatures at 5-100 cm depths for agricultural purposes. Climatic and soil temperature data from Isfahan province located in central Iran with a semi-arid climate was used for the modeling process. A subtractive...

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Bibliographic Details
Main Authors:	Mohammad Taghi Sattari, Esmaeel Dodangeh, John Abraham
Format:	Article
Language:	English
Published:	Universidad Nacional de Colombia 2017-04-01
Series:	Earth Sciences Research Journal
Subjects:	Soil temperature Data mining M5 tree model ANFIS ANN
Online Access:	https://revistas.unal.edu.co/index.php/esrj/article/view/49829

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