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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="issn">2583-7214</journal-id>
      <journal-title-group>
        <journal-title>TMP Universal Journal of Research and Review Archives</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2583-7214</issn>
      <publisher>
        <publisher-name>Ms Ashvi Jain</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.69557/ujrra.v2i2.48</article-id>
      <title-group>
        <article-title>BENEFITS AND DRAWBACKS OF DIFFERENT SOIL TYPES</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Abdullahi</surname>
            <given-names>Abdulrahman Yusuf</given-names>
          </name>
          <xref ref-type="aff" rid="aff-1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Muhammad</surname>
            <given-names>Abubakarsadiq Ali</given-names>
          </name>
          <xref ref-type="aff" rid="aff-2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sani</surname>
            <given-names>Sadiku Aminu</given-names>
          </name>
          <xref ref-type="aff" rid="aff-3"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ibrahim</surname>
            <given-names>Amina</given-names>
          </name>
          <xref ref-type="aff" rid="aff-4"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ahmad</surname>
            <given-names>Muhammad Baballe</given-names>
          </name>
          <xref ref-type="aff" rid="aff-5"/>
        </contrib>
      </contrib-group>
      <aff id="aff-1">Department of Electrical Engineering, Kano University of Science and Technology Wudil, Kano,Nigeria</aff>
      <aff id="aff-2">Department of Electrical Engineering, Kano University of Science and Technology Wudil, Kano,Nigeria</aff>
      <aff id="aff-3">Department of Architectural Technology, School of Environmental Studies Gwarzo, Kano State Polytechnic, Kano, Nigeria</aff>
      <aff id="aff-4">Department of Computer Science, School of Technology, Kano State Polytechnic, Kano, Nigeria</aff>
      <aff id="aff-5">Department of Computer Science, School of Technology, Kano State Polytechnic, Kano, Nigeria</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-07-31">
        <day>31</day>
        <month>07</month>
        <year>2023</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>Copyright © 2023 Abdulrahman Yusuf Abdullahi</copyright-statement>
        <copyright-year>2023</copyright-year>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>
            This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
            <uri xlink:href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</uri>
          </license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://tmp.twistingmemoirs.com/index.php/ujrra/article/view/48"/>
      <abstract>
        <p>Traditional methods for classifying soil have several drawbacks, including the fact that they take a long time, are expensive, and are intrusive, to name a few. Soil monitoring and Internet of Things (IoT) technology assist enhance agriculture by increasing production by precisely tracking soil parameters like moisture, temperature, humidity, PH, and nutrient content and fertility. The data is then collected in cloud storage with the aid of the appropriate data operations, enabling us to enhance agricultural strategies and generate trend analyses. This allows us to precisely allocate resources and manage our farming operations in order to enhance yield. We have read a large number of articles in this study that discuss different classification systems and strategies for soils.</p>
      </abstract>
      <kwd-group>
        <title>Keywords</title>
        <kwd>Sandy Soil</kwd>
        <kwd>Clay Soil</kwd>
        <kwd>Loamy Soil</kwd>
        <kwd>Soil Classification</kwd>
        <kwd>Machine learning</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>