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[00599] Advances on estimation of temperature and moisture of soil using sensor networks.

• Session Time & Room : 3C (Aug.23, 13:20-15:00) @G709
• Type : Industrial Contributed Talk
• Abstract : Given a sensor network set up on an agricultural field, we review methods based on PDE, regression and Principal Component Analysis algorithms to estimate the temperature and moisture of soil. With PCA it is possible to identify those sensors or groups of sensors which are influential at the time of measuring the temperature or moisture at a given point of the field. Validation results are provided based on real data from agricultural fields.
• Classification : 35Q79, PDE, regression, PCA
• Format : Talk at Waseda University
• Author(s) :
  • Carlos Fresneda-Portillo (Universidad Loyola Andalucía (Spain))
  • Carmelina Ierardi (Universidad Loyola Andalucía )
  • José Ramón Salvador-Ortiz (Universidad Loyola Andalucía)
  • Javier Pérez (Universidad Loyola Andalucía )
  • Diego Luis Orihuela (Universidad Loyola Andalucía )