Journal article Open Access

Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques

B. Sridhar; K. Lalitha Divya Sindhu; N. Ragasudha; M. Mounika; K. Premnath Chakri


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  <identifier identifierType="URL">https://zenodo.org/record/5533459</identifier>
  <creators>
    <creator>
      <creatorName>B. Sridhar</creatorName>
      <affiliation>Professor ECE department, LIET, Vizianagaram, India</affiliation>
    </creator>
    <creator>
      <creatorName>K. Lalitha Divya Sindhu</creatorName>
      <affiliation>Final year UG Students, ECE department  LIET Vizianagaram, India. N. Ragasudha, Final</affiliation>
    </creator>
    <creator>
      <creatorName>N. Ragasudha</creatorName>
      <affiliation>Final year UG Students, ECE department  LIET Vizianagaram, India. N. Ragasudha, Final</affiliation>
    </creator>
    <creator>
      <creatorName>M. Mounika</creatorName>
      <affiliation>Final year UG Students, ECE department  LIET Vizianagaram, India. N. Ragasudha, Final</affiliation>
    </creator>
    <creator>
      <creatorName>K. Premnath Chakri</creatorName>
      <affiliation>Final year UG Students, ECE department  LIET Vizianagaram, India. N. Ragasudha, Final</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Development of Raspberry-Pi Based IoT  Agricultural System using Fuzzy Techniques</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>IOT, agricultural system, Fuzzy logic, Raspberry pi, Sensor nodes.</subject>
    <subject subjectScheme="issn">2231-2307</subject>
    <subject subjectScheme="handle">F3402039620/2020©BEIESP</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Sponsor">
      <contributorName>Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)</contributorName>
      <affiliation>Publisher</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020-07-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5533459</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="ISSN" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">2231-2307</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.35940/ijsce.F3402.0710120</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In India, agriculture plays an important role in national development. Agricultural problems have always hindered the country&amp;#39;s development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.&lt;/p&gt;</description>
  </descriptions>
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