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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2008
    • vol. 1, nº 1, december 2008
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2008
    • vol. 1, nº 1, december 2008
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    Software fires detection and extinction for forest

    Autor: 
    Utande González de la Higuera, Nuria
    García Seco, Juan Carlos
    Fecha: 
    12/2008
    Palabra clave: 
    bayesian network; ontologies; wildfire detection; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/9326
    Dirección web: 
    https://ijimai.org/journal/node/27
    Open Access
    Resumen:
    This article shows the most usual fire detection and forest extinction application technologies at present. We will see all different methods used by these applications that can be found in the Market and some examples. Also, some basic questions about the most influent parameters when a fire must be extinct are shown. Finally, after having shown all the technologies, we will build a model about an intelligent system which not only detects, but also extinguish wildfires
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    Nombre: IJIMAI1-1-6.pdf
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