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        <identifier>oai:www.ideals.illinois.edu:2142/95517</identifier>
        <datestamp>2023-07-11</datestamp>
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        <setSpec>col_2142_14847</setSpec>
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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>Grift, Tony E.</dc:contributor>
          <dc:creator>Tate, Brandon Lee</dc:creator>
          <dc:date>2017-03-01T16:37:10Z</dc:date>
          <dc:date>2017-03-01T16:37:10Z</dc:date>
          <dc:date>2019-03-02T10:15:18Z</dc:date>
          <dc:date>2016-12-08</dc:date>
          <dc:date>2016-12</dc:date>
          <dc:description>Soil texture is an important soil property, contributing to many aspects of soil performance, ranging from productivity to ease of tillage. Currently, textural analysis is either estimated in the field with limited accuracy, or analyzed in a laboratory setting through a time consuming and labor intensive process.
This study outlines the development of a new system for in-situ soil textural analysis using an automated cone penetrometer outfitted with a microphone, where the resulting sound produced from the cone-soil interface is used to determine soil texture. The system was tested in a laboratory setting using soil samples with well defined textural compositions. Correlations between the textural breakdown of the samples, and the power for certain frequency ranges were made. The prediction model for clay that was developed had an adjusted R2 of 0.950, while the models for silt and sand had lower adjusted R2 values. Future research should look into the effects of soil moisture content, bulk density, and organic matter content on the acoustic signal.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-12-01</dc:description>
          <dc:description>The student, Brandon Tate, accepted the attached license on 2016-12-06 at 17:31.</dc:description>
          <dc:description>The student, Brandon Tate, submitted this Thesis for approval on 2016-12-06 at 17:40.</dc:description>
          <dc:description>This Thesis was approved for publication on 2016-12-08 at 16:11.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #10462 on 2017-02-28 at 14:37:30</dc:description>
          <dc:description>Made available in DSpace on 2017-03-01T16:37:10Z (GMT). No. of bitstreams: 2
TATE-THESIS-2016.pdf: 33085243 bytes, checksum: 2fce6486b50b338e0a242a2f57cd08d8 (MD5)
LICENSE.txt: 4209 bytes, checksum: 6283ea1748384502f8b7bc847e7c7e4a (MD5)
  Previous issue date: 2016-12-08</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 98633
Lift date: 2019-03-01T16:37:19Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 98633 on 2019-03-02T10:15:18Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/95517</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2016 Brandon L. Tate</dc:rights>
          <dc:subject>Soil texture</dc:subject>
          <dc:title>Soil texture determination by an acoustic cone penetrometer method</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Engineering Administration</department>
            <discipline>Agricultural and Biological Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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