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...

Full description

Autores:
Sattari, Mohammad Taghi
Dodangeh, Esmaeel
Abraham, John
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/63579
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/63579
http://bdigital.unal.edu.co/64025/
Palabra clave:
55 Ciencias de la tierra / Earth sciences and geology
Soil temperature
Data mining
M5 tree model
ANFIS
ANN
Temperatura del suelo
minería de datos
modelo tipo árbol M5
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional