<?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>Computer vision-based agriculture engineering</title>
  </titleInfo>
  <name type="personal">
    <namePart>Zhongzhi, Han</namePart>
    <namePart type="date">1981-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nyu</placeTerm>
    </place>
    <dateIssued encoding="marc">2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvii, 329 pages : illustrations </extent>
  </physicalDescription>
  <abstract>"Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in the book of all 25 chapters. This unique work provides student, engineers and technologists working in research, development, and operations in the agricultural engineering with critical, comprehensive and readily accessible information. The book applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing"--</abstract>
  <note type="statement of responsibility">Han Zhongzhi.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Agricultural engineering</topic>
    <topic>Technological innovations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Agriculture</topic>
    <topic>Remote sensing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Quality control</topic>
    <topic>Optical methods</topic>
  </subject>
  <classification authority="lcc">S675 .Z49 2020</classification>
  <classification authority="ddc">631.5233 Z637 2020</classification>
  <relatedItem type="otherFormat" displayLabel="Online version:">
    <titleInfo>
      <title>Computer vision-based agriculture engineering</title>
    </titleInfo>
    <name>
      <namePart>Zhongzhi, Han,</namePart>
    </name>
    <originInfo>
      <publisher>Boca Raton : Taylor &amp; Francis, 2019.</publisher>
    </originInfo>
    <identifier type="local">(DLC) 2019025857</identifier>
  </relatedItem>
  <identifier type="isbn">9780367254308</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="lccn">2019025856</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">190619</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251027205636.0</recordChangeDate>
    <recordIdentifier>21025711</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
