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  <doi_batch_id>aspg-25-906-1791494024</doi_batch_id>
  <timestamp>20261008211344</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
    <abbrev_title>JCHCI</abbrev_title>
    <issn media_type="print">2771-1471</issn>
    <issn media_type="electronic">2771-1463</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <journal_volume>
     <volume>1</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ajith Krishna</given_name>
      <surname>R.</surname>
      <affiliations>
       <institution>
        <institution_name>Postgraduate, Department of Computer Science and Engineering, Boston University, Massachusetts, 02139, US</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ankit</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Swami Keshvan and Institute of Technology, Management &amp; Gramothan, Department of Computer Science and Engineering, Jaipur 302017, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Vijay</given_name>
      <surname>K.</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor (SG), Department of Computer Science and Engineering,Rajalakshmi Engineering College, Chennai, 502345, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Agriculture is the primary occupation in our country for ages. But now due to migration of people from rural to urban there is hindrance in agriculture. So, to overcome this problem we go for smart agriculture techniques using IoT. This paper includes various features like GPS based remote controlled monitoring, moisture &amp; temperature sensing, intruders scaring, security, leaf wetness and proper irrigation facilities. It makes use of wireless sensor networks for noting the soil properties and environmental factors continuously. Various sensor nodes are deployed at different locations in the farm. Controlling these parameters are through any remote device or internet services and the operations are performed by interfacing sensors, Wi-Fi, camera with microcontroller. This concept is created as a product and given to the farmer’s welfare. AI Solution for Farmers perform soil analysis, climate analysis, and productivity analysis using linear regression. It helps farmers to understand about the crop to be sown as well as the factors affecting their productivity with the help of different types of graphs and tables. Farmers need not to do anything on the application as it is highly interactive as by using speech API.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>37</first_page>
     <last_page>45</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">906</item_number>
    </publisher_item>
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     <doi>10.54216/JCHCI.010105</doi>
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