{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/50416"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/50416","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Automated soybean cyst nematode extraction unit","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Whitmore Stanley, Allante"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Agricultural & Biological Engr","degree_department":null,"school":null,"contributors":["Bhalerao, Kaustubh"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-09-16T17:12:46Z","date_published":"2014-09-16T17:12:46Z","updated_at":"2026-07-22T22:25:40Z","subjects":["Soybean Cyst Nematode (SCN)","Extraction","Automation","Design"],"languages":["en"],"rights":["Copyright 2014 Allante Whitmore Stanley"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/50416","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bhalerao, Kaustubh"]},{"key":"dc:creator","label":"Author","values":["Whitmore Stanley, Allante"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-09-16T17:12:46Z","2016-09-22T20:59:28Z","2014-08","2014-09-16"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural & Biological Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Soybean Cyst Nematode (SCN)","Extraction","Automation","Design"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Allante Whitmore Stanley"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/50416"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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The automated unit will provide a more efficient SCN extraction method for monitoring the SCN population.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-07-24T17:06:47Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Whitmore_Allante.tex: 5322 bytes, checksum: fec23ff7d7281771c0f3df67f9525016 (MD5) Whitmore_Allante.pdf: 29377176 bytes, checksum: 214d9a00686ecfdca91552bddf59e187 (MD5)","Made available in DSpace on 2014-09-16T17:12:46Z (GMT). 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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. 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