<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1692-3324</journal-id>
<journal-title><![CDATA[Revista Ingenierías Universidad de Medellín]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. ing. univ. Medellín]]></abbrev-journal-title>
<issn>1692-3324</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Medellín]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1692-33242016000200081</article-id>
<article-id pub-id-type="doi">10.22395/rium.v15n29a5</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Expert system for crop disease based on graph pattern matching: a proposal]]></article-title>
<article-title xml:lang="es"><![CDATA[Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lasso]]></surname>
<given-names><![CDATA[Emmanuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corrales]]></surname>
<given-names><![CDATA[Juan Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>07</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>07</month>
<year>2016</year>
</pub-date>
<volume>15</volume>
<numero>29</numero>
<fpage>81</fpage>
<lpage>98</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1692-33242016000200081&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1692-33242016000200081&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1692-33242016000200081&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract For agroindustry, crop diseases constitute one of the most common prob lems that generate great economic losses and low production quality. On the other hand, from the field of computer science, several tools have emerged that may improve the prevention and treatment of these diseases. In this sense, recent research proposes the development of expert systems to solve this problem, making use of data mining and artificial intelligence techniques like rule-based inference, decision trees, Bayesian network, among others. Furthermore, graphs can be used to store different types of variables present in a crop environment, allowing the application of graph data mining techniques like graph pattern matching. In this paper, we present an overview of the above issues and the proposal of an expert system for crop disease based on graph pattern matching.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Para la agroindustria, las enfermedades en cultivos constituyen uno de los problemas más frecuentes que generan grandes pérdidas económicas y baja calidad en la producción. Por otro lado, desde las ciencias de la computación, han surgido diferentes herramientas cuya finalidad es mejo rar la prevención y el tratamiento de estas enfermedades. En este sentido, investigaciones recientes proponen el desarrollo de sistemas expertos para resolver este problema haciendo uso de técnicas de minería de datos e in teligencia artificial, como inferencia basada en reglas, árboles de decisión, redes bayesianas, entre otras. Además, los grafos pueden ser usados para el almacenamiento de los diferentes tipos de variables que se encuentran presentes en un ambiente de cultivos, permitiendo la aplicación de técnicas de minería de datos en grafos, como el emparejamiento de patrones en los mismos. En este artículo presentamos una visión general de las temáticas mencionadas y una propuesta de un sistema experto para enfermedades en cultivos, basado en emparejamiento de patrones en grafos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[expert system]]></kwd>
<kwd lng="en"><![CDATA[graph pattern matching]]></kwd>
<kwd lng="en"><![CDATA[data mining]]></kwd>
<kwd lng="en"><![CDATA[crop]]></kwd>
<kwd lng="en"><![CDATA[disease]]></kwd>
<kwd lng="en"><![CDATA[agriculture]]></kwd>
<kwd lng="es"><![CDATA[sistema experto]]></kwd>
<kwd lng="es"><![CDATA[grafo]]></kwd>
<kwd lng="es"><![CDATA[emparejamiento de patrón]]></kwd>
<kwd lng="es"><![CDATA[minería de datos]]></kwd>
<kwd lng="es"><![CDATA[cultivos]]></kwd>
<kwd lng="es"><![CDATA[enfermedad]]></kwd>
<kwd lng="es"><![CDATA[agricultura]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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