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Abstract
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| 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 ... | |
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International
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Si |
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Congress
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EGU General Assembly Conference |
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960 |
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Place
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Reviewers
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Si |
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ISBN/ISSN
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1029-7006 |
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Start Date
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22/04/2012 |
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End Date
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24/04/2012 |
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From page
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1 |
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To page
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1 |
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Geophysical Research Abstracts |