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...
- 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