{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/19067"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/19067","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Near-infrared reflectance soil organic matter sensor","abstract":"In-field sensing of soil organic matter content would be desirable to provide a control input for the variation of soil-applied herbicide application rates. Control based on organic matter content could eliminate overapplication on less productive areas within a field, thereby improving profitability and reducing the potential for groundwater contamination.","abstract_html":"In-field sensing of soil organic matter content would be desirable to provide a control input for the variation of soil-applied herbicide application rates. Control based on organic matter content could eliminate overapplication on less productive areas within a field, thereby improving profitability and reducing the potential for groundwater contamination.","abstract_has_math":false,"creators":["Sudduth, Kenneth Alan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Engineering","degree_department":null,"school":null,"contributors":["Hummel, John W."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T11:55:58Z","date_published":"2011-05-07T11:55:58Z","updated_at":"2026-07-22T22:25:12Z","subjects":["Engineering, Agricultural"],"languages":["eng"],"rights":["Copyright 1989 Sudduth, Kenneth Alan"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9015736","(UMI)AAI9015736"],"render_values":[{"text":"AAI9015736","href":null,"code":true},{"text":"(UMI)AAI9015736","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/19067","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hummel, John W."]},{"key":"dc:creator","label":"Author","values":["Sudduth, Kenneth Alan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T11:55:58Z","10000-01-01","1989"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Agricultural"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1989 Sudduth, Kenneth Alan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9015736","(UMI)AAI9015736","http://hdl.handle.net/2142/19067"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In-field sensing of soil organic matter content would be desirable to provide a control input for the variation of soil-applied herbicide application rates. Control based on organic matter content could eliminate overapplication on less productive areas within a field, thereby improving profitability and reducing the potential for groundwater contamination.","Color coordinate data and spectral reflectance data in the visible and near infrared (NIR) regions were correlated with organic carbon contents of 30 Illinois mineral soils, using multiple linear regression, stepwise multiple linear regression, principal components regression, and partial least squares regression. The combination of NIR spectral reflectance and partial least squares regression was the most predictive, and was chosen for implementation.","The prototype NIR soil organic matter sensor, designed and fabricated to withstand field use, was tested both in the laboratory and in the field. Laboratory calibration of the sensor was accomplished with a test set of thirty Illinois mineral soils prepared at soil moisture tensions ranging from 1.5 MPa to 0.033 MPa. Laboratory predictions yielded an r$\\sp2$ of 0.89 and a standard error of prediction of 0.23 percent organic carbon (0.40 percent organic matter). The sensor was also able to predict soil moisture and cation exchanges capacity. Limited in-furrow field operation of the sensor produced a much higher standard error (0.53 percent carbon), due to the movement of the soil past the sensor as scanning was accomplished.","Made available in DSpace on 2011-05-07T11:55:58Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9015736.pdf: 11722094 bytes, checksum: a155da964780fde0231c8891d2506c13 (MD5) Previous issue date: 1989","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:34:26Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:13:08-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Near-infrared reflectance soil organic matter sensor"]}]}],"canonical_facts":{"dc:contributor":["Hummel, John W."],"dc:creator":["Sudduth, Kenneth Alan"],"dc:date":["2011-05-07T11:55:58Z","10000-01-01","1989"],"dc:description":["In-field sensing of soil organic matter content would be desirable to provide a control input for the variation of soil-applied herbicide application rates. Control based on organic matter content could eliminate overapplication on less productive areas within a field, thereby improving profitability and reducing the potential for groundwater contamination.","Color coordinate data and spectral reflectance data in the visible and near infrared (NIR) regions were correlated with organic carbon contents of 30 Illinois mineral soils, using multiple linear regression, stepwise multiple linear regression, principal components regression, and partial least squares regression. The combination of NIR spectral reflectance and partial least squares regression was the most predictive, and was chosen for implementation.","The prototype NIR soil organic matter sensor, designed and fabricated to withstand field use, was tested both in the laboratory and in the field. Laboratory calibration of the sensor was accomplished with a test set of thirty Illinois mineral soils prepared at soil moisture tensions ranging from 1.5 MPa to 0.033 MPa. Laboratory predictions yielded an r$\\sp2$ of 0.89 and a standard error of prediction of 0.23 percent organic carbon (0.40 percent organic matter). The sensor was also able to predict soil moisture and cation exchanges capacity. Limited in-furrow field operation of the sensor produced a much higher standard error (0.53 percent carbon), due to the movement of the soil past the sensor as scanning was accomplished.","Made available in DSpace on 2011-05-07T11:55:58Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9015736.pdf: 11722094 bytes, checksum: a155da964780fde0231c8891d2506c13 (MD5) Previous issue date: 1989","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:34:26Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:13:08-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"],"dc:identifier":["AAI9015736","(UMI)AAI9015736","http://hdl.handle.net/2142/19067"],"dc:language":["eng"],"dc:rights":["Copyright 1989 Sudduth, Kenneth Alan"],"dc:subject":["Engineering, Agricultural"],"dc:title":["Near-infrared reflectance soil organic matter sensor"],"dc:type":["text"],"thesis:degree_discipline":["Agricultural Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:12Z"}