<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Predictive analytics in smart agriculture</title>
  </titleInfo>
  <name type="personal">
    <namePart>Saravanan, Krishnan</namePart>
    <namePart type="date">1982-</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">flu</placeTerm>
    </place>
    <dateIssued encoding="marc">2023</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource</extent>
  </physicalDescription>
  <abstract>"This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Predictive Analysis in Smart Agriculture deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications"--</abstract>
  <note type="statement of responsibility">[edited by] Saravanan Krishnan, A. Jose Anand, Narayanan Prasanth, Sam Goundar, and Christo Ananth.</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Agricultural applications</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Predictive analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Agricultural innovations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Internet of things</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Agriculture / Crop Science</topic>
  </subject>
  <classification authority="lcc">S494.5.D3</classification>
  <identifier type="isbn">9781003391302</identifier>
  <identifier type="isbn">1003391303</identifier>
  <identifier type="isbn">9781000991482</identifier>
  <identifier type="isbn">1000991482</identifier>
  <identifier type="isbn">9781000991475</identifier>
  <identifier type="isbn">1000991474</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="uri">https://www.taylorfrancis.com/books/9781003391302</identifier>
  <identifier type="uri">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</identifier>
  <location>
    <url displayLabel="Taylor &amp; Francis">https://www.taylorfrancis.com/books/9781003391302</url>
  </location>
  <location>
    <url displayLabel="OCLC metadata license agreement">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">OCoLC-P</recordContentSource>
    <recordCreationDate encoding="marc">230719</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030122242.0</recordChangeDate>
    <recordIdentifier source="FlBoTFG">9781003391302</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
