Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Time series prediction in agroecosystems
Year:2012
Research Areas
  • Engineering
Information
Abstract
his work proposes a novel model to predict time series such as frost, precipitation, temperature, solar radiation, all of them important variables for the agriculture process. In the proposed model, Artificial Neural Networks (ANN) combined with clustering algorithms and sensor data fusion are used. The real time series are obtained from different sensors. The clustering algorithms find relationships between variables, clustering involves the task of dividing data sets, which assigns the same label to members who belong to the same ...
International
Si
Congress
EGU General Assembly Conference
960
Place
Reviewers
Si
ISBN/ISSN
1029-7006
Start Date
22/04/2012
End Date
24/04/2012
From page
1
To page
1
Geophysical Research Abstracts
Participants
  • Autor: María Guadalupe Cortina Januchs (UPM)
  • Autor: Joel Quintanilla Dominguez (UPM)
  • Autor: Antonio Vega-Corona (Univ. Gto.)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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