<?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>0253-5785</journal-id>
<journal-title><![CDATA[Centro Agrícola]]></journal-title>
<abbrev-journal-title><![CDATA[Ctro. Agr.]]></abbrev-journal-title>
<issn>0253-5785</issn>
<publisher>
<publisher-name><![CDATA[Editorial Feijóo, Universidad Central de Las Villas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0253-57852020000300023</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación de la materia orgánica en suelo Pardo mullido medianamente lavado mediante espectroscopia vis-NIR]]></article-title>
<article-title xml:lang="en"><![CDATA[Estimation of soil organic matter in Cambisol soil using vis-NIR spectroscopy]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Aguiar]]></surname>
<given-names><![CDATA[Diana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Colás-Sánchez]]></surname>
<given-names><![CDATA[Ariany]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez-López]]></surname>
<given-names><![CDATA[Oralia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez-Vázquez]]></surname>
<given-names><![CDATA[Delia Luisa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gattorno-Muñoz]]></surname>
<given-names><![CDATA[Sirley]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chacón-Iznaga]]></surname>
<given-names><![CDATA[Ahmed]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas (UCLV) Facultad de Ciencias Agropecuarias Departamento de Ingeniería Agrícola]]></institution>
<addr-line><![CDATA[Santa Clara Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas (UCLV) Facultad de Ciencias Agropecuarias Centro de Investigaciones Agropecuarias (CIAP)]]></institution>
<addr-line><![CDATA[Santa Clara Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas (UCLV) Facultad de Ciencias Agropecuarias Departamento de Agronomía]]></institution>
<addr-line><![CDATA[Santa Clara Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2020</year>
</pub-date>
<volume>47</volume>
<numero>3</numero>
<fpage>23</fpage>
<lpage>32</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0253-57852020000300023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0253-57852020000300023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0253-57852020000300023&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La investigación se desarrolló en la empresa agropecuaria Valle del Yabú, ubicada en el municipio Santa Clara, provincia Villa Clara. El objetivo fue estimar el contenido de materia orgánica del suelo con el uso de la técnica de espectroscopia de reflectancia en el visible e infrarrojo cercano (vis-NIR) en áreas de suelo Pardo mullido medianamente lavado. Se colectaron muestras de suelo en el paisaje edáfico para conformar el set de calibración y en dos campos específicos para constituir los sets de validación. Se utilizó un espectrofotómetro portátil en el rango de longitud de onda de 399 a 1697 nm. Para el desarrollo de los modelos se aplicó la técnica estadística multivariable de regresión por mínimos cuadrados parciales (PLSR). La fiabilidad de los modelos se determinó mediante el coeficiente de determinación R2. Los resultados mostraron que las lecturas de reflectancia espectral variaron con la longitud de onda y hubo un incremento de la misma desde la región visible (379 - 780 nm), a la del infrarrojo cercano (780 - 1700 nm). La precisión del modelo de calibración vis-NIR obtenido en el paisaje edáfico, se evaluó de bien y de muy bien con valores R2 de 0,89 y 0,90 respectivamente cuando se validó en los campos específicos seleccionados, lo que evidenció la correcta estimación del contenido de materia orgánica del suelo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The investigation was developed in the agricultural company &#8220;Valley del Yabú&#8221; located in Santa Clara, Villa Clara province. The objective was to estimate the soil organic matter content with the use of visible and near infrared (vis-NIR) reflectance spectroscopy technique in Cambisol soil. Soil samples were collected at the landscape level to conform the calibration set and in two specific fields to constitute the validation sets. A portable spectrophotometer was used in the wavelength range from 399 to 1697 nm. Reflectance data were related to soil organic matter using partial least squares regression (PLSR). The model accuracy was determined by means of the determination coefficient (R2). Results showed that the reflectance lectures varied with the wavelength and there was an increment from the visible region (379 - 780 nm), to the near infrared region (780 - 1700 nm). The vis-NIR calibration model accuracy obtained at the landscape level was evaluated of good and very good with R2 values of 0.89 and 0.90 respectively when it was validated in the selected specific fields, which showed the correct estimation of the soil organic matter content.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis de suelo]]></kwd>
<kwd lng="es"><![CDATA[infrarrojo cercano]]></kwd>
<kwd lng="es"><![CDATA[visible]]></kwd>
<kwd lng="en"><![CDATA[soil analysis]]></kwd>
<kwd lng="en"><![CDATA[near infrared]]></kwd>
<kwd lng="en"><![CDATA[visible]]></kwd>
</kwd-group>
</article-meta>
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<surname><![CDATA[GUO]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[GUO]]></surname>
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<article-title xml:lang=""><![CDATA[Deep Learning Application for Predicting Soil Organic Matter Content by VIS-NIR Spectroscopy]]></article-title>
<source><![CDATA[Computational Intelligence and Neuroscience]]></source>
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</article>
