<?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>1646-9895</journal-id>
<journal-title><![CDATA[RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação]]></journal-title>
<abbrev-journal-title><![CDATA[RISTI]]></abbrev-journal-title>
<issn>1646-9895</issn>
<publisher>
<publisher-name><![CDATA[AISTI - Associação Ibérica de Sistemas e Tecnologias de Informação]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1646-98952022000100064</article-id>
<article-id pub-id-type="doi">10.17013/risti.45.64-76</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Conteo de plantas de agave usando redes neuronales convolucionales e imágenes adquiridas desde un vehículo aéreo no tripulado]]></article-title>
<article-title xml:lang="en"><![CDATA[Counting of agave plants using convolutional neural networks with images acquired from an unmanned aerial vehicle.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Calvario]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Florián]]></surname>
<given-names><![CDATA[Frida]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[María Guadalupe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ávila-George]]></surname>
<given-names><![CDATA[Himer]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,TecNM - Instituto Tecnológico de Ciudad Guzmán Departamento de Sistemas y Computación ]]></institution>
<addr-line><![CDATA[Ciudad Guzmán ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Guadalajara Departamento de Ciencias Computacionales e Ingenierías ]]></institution>
<addr-line><![CDATA[Ameca ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>30</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>03</month>
<year>2022</year>
</pub-date>
<numero>45</numero>
<fpage>64</fpage>
<lpage>76</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1646-98952022000100064&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1646-98952022000100064&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1646-98952022000100064&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Esta investigación aporta nueva información aplicando técnicas de aprendizaje profundo en cultivos de agave. Se pretende el desarrollo de un algoritmo de aprendizaje profundo basado en redes neuronales convolucionales que automatice el conteo de las plantas de agave de un cultivo a partir de imágenes tomadas desde vehículo aéreo no tripulado, el conteo de las plantas de agave será obtenido de manera más eficiente, económico y en un lapso más breve que la forma tradicional. El Proyecto contribuye a la solución del tiempo de preprocesamiento de las imágenes, mejora la detección de plantas de agave con adversidades, mejorar los tiempos de entrenamiento del algoritmo, reduce costos computacionales.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This research provides new information by applying deep learning techniques in agave crops. The development of a deep learning algorithm based on convolutional neural networks that automates the count of agave plants in a crop from images taken from an unmanned aerial vehicle is intended, the count of agave plants will be obtained more efficient, economical and in a shorter period of time than the traditional way. The Project contributes to the solution of the preprocessing time of the images, improves the detection of agave plants with adversities, improves the training times of the algorithm, reduces computational costs.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[aprendizaje profundo]]></kwd>
<kwd lng="es"><![CDATA[redes neuronales convolucionales (CNN)]]></kwd>
<kwd lng="es"><![CDATA[YOLOv5]]></kwd>
<kwd lng="es"><![CDATA[agricultura de precisión]]></kwd>
<kwd lng="es"><![CDATA[VANT]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[convolutional neural networks (CNN)]]></kwd>
<kwd lng="en"><![CDATA[YOLOv5]]></kwd>
<kwd lng="en"><![CDATA[precision agriculture]]></kwd>
<kwd lng="en"><![CDATA[VANT]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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