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        <identifier>oai:www.ideals.illinois.edu:2142/50416</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Bhalerao, Kaustubh</dc:contributor>
          <dc:creator>Whitmore Stanley, Allante</dc:creator>
          <dc:date>2014-09-16T17:12:46Z</dc:date>
          <dc:date>2014-09-16T17:12:46Z</dc:date>
          <dc:date>2016-09-22T20:59:28Z</dc:date>
          <dc:date>2014-08</dc:date>
          <dc:date>2014-09-16</dc:date>
          <dc:date>2014-08</dc:date>
          <dc:description>The soybean cyst nematode (SCN) is a plant parasitic roundworm of soybeans responsible for an estimated $0.7-1.2 billion reduction in annual yield loss. In order to manage yield loss due to SCN, soybean producers employ a nematode management plan which utilize extensive soil sampling to assess SCN population density. Even though the nematode management practices exist, they require greater spatial and temporal resolution in SCN field counts.
Currently, SCN extraction from soil samples is time consuming and highly laborious. This thesis produced a design and prototype of an automated extraction unit in order to simplify the soybean cyst and egg extraction process. The proposed automated extraction process will increase the recovery rate while consolidating nematode extraction steps eliminating much of the manual labor in the process. In order to improve extraction efficiency, the design maximized automation use, compacted unit size, used inexpensive materials, and offered the option to scale the unit. Prototyping established the technical feasibility of the unit. The automated unit will provide a more efficient SCN extraction method for monitoring the SCN population.</dc:description>
          <dc:description>Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-07-24T17:06:47Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:description>Embargo set by: Seth Robbins for item 50527
Lift date: 2016-09-16T17:13:01Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 50527 on 2016-09-22T20:59:28Z.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/50416</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2014 Allante Whitmore Stanley</dc:rights>
          <dc:subject>Soybean Cyst Nematode (SCN)</dc:subject>
          <dc:subject>Extraction</dc:subject>
          <dc:subject>Automation</dc:subject>
          <dc:subject>Design</dc:subject>
          <dc:title>Automated soybean cyst nematode extraction unit</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <name>M.S.</name>
            <program>MS: Agr &amp; Biol Engr -UIUC</program>
            <programCode>10KS5163MS</programCode>
            <department>Engineering Administration</department>
            <departmentCode>1227</departmentCode>
            <discipline>Agricultural &amp; Biological Engr</discipline>
            <disciplineCode>5163</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
          </degree>
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