{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/86042"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/86042","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Vision based guidance of an agricultural combine","abstract":"A machine vision based guidance system for agricultural combines was developed at the University of Illinois. Three machine vision guidance algorithms were developed and evaluated for guidance. The first algorithm, the Low Head Mounted Camera Algorithm (LHMCA), utilized images from a head mounted camera that directly viewed the cut/uncut crop edge. The LHMCA was used under actual field conditions in 1999; however, shadows and poor crop condition compromised performance of the algorithm. The High Head Mounted Camera Algorithm (HHMCA) used a camera mounted on the head directly above the cut/uncut edge to image the scene. The HHMCA performed well in the laboratory; poor image quality in the field restricted the use of the algorithm. The Cab Mounted Camera Algorithm (CMCA) processed images from a monochrome image sensor mounted above the cab of the combine. The CMCA closely mimics methodology used by the operator. The CMCA was used to automatically harvest 4.6 ha (12.0 a) of corn during both daylight and at night. The resulting accuracy of the guidance system (13.3 cm) was not statistically different from the accuracy of the GPS position recording system (11.0 cm).","abstract_html":"A machine vision based guidance system for agricultural combines was developed at the University of Illinois. Three machine vision guidance algorithms were developed and evaluated for guidance. The first algorithm, the Low Head Mounted Camera Algorithm (LHMCA), utilized images from a head mounted camera that directly viewed the cut/uncut crop edge. The LHMCA was used under actual field conditions in 1999; however, shadows and poor crop condition compromised performance of the algorithm. The High Head Mounted Camera Algorithm (HHMCA) used a camera mounted on the head directly above the cut/uncut edge to image the scene. The HHMCA performed well in the laboratory; poor image quality in the field restricted the use of the algorithm. The Cab Mounted Camera Algorithm (CMCA) processed images from a monochrome image sensor mounted above the cab of the combine. The CMCA closely mimics methodology used by the operator. The CMCA was used to automatically harvest 4.6 ha (12.0 a) of corn during both daylight and at night. The resulting accuracy of the guidance system (13.3 cm) was not statistically different from the accuracy of the GPS position recording system (11.0 cm).","abstract_has_math":false,"creators":["Benson, Eric Randolph"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Engineering","degree_department":null,"school":null,"contributors":["Reid, John F."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-28T14:53:43Z","date_published":"2015-09-28T14:53:43Z","updated_at":"2026-07-22T22:26:26Z","subjects":["Engineering, Mechanical"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3017023"],"render_values":[{"text":"(MiAaPQ)AAI3017023","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/86042","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Reid, John F."]},{"key":"dc:creator","label":"Author","values":["Benson, Eric Randolph"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-28T14:53:43Z","10000-01-01","2001"]},{"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, Mechanical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/86042","(MiAaPQ)AAI3017023"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A machine vision based guidance system for agricultural combines was developed at the University of Illinois. Three machine vision guidance algorithms were developed and evaluated for guidance. The first algorithm, the Low Head Mounted Camera Algorithm (LHMCA), utilized images from a head mounted camera that directly viewed the cut/uncut crop edge. The LHMCA was used under actual field conditions in 1999; however, shadows and poor crop condition compromised performance of the algorithm. The High Head Mounted Camera Algorithm (HHMCA) used a camera mounted on the head directly above the cut/uncut edge to image the scene. The HHMCA performed well in the laboratory; poor image quality in the field restricted the use of the algorithm. The Cab Mounted Camera Algorithm (CMCA) processed images from a monochrome image sensor mounted above the cab of the combine. The CMCA closely mimics methodology used by the operator. The CMCA was used to automatically harvest 4.6 ha (12.0 a) of corn during both daylight and at night. The resulting accuracy of the guidance system (13.3 cm) was not statistically different from the accuracy of the GPS position recording system (11.0 cm).","Made available in DSpace on 2015-09-28T14:53:43Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017023.pdf: 11285480 bytes, checksum: 45bc5338663938f560762cd66f45fe5d (MD5) Previous issue date: 2001","Embargo set by: Seth Robbins for item 87323 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","303 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001."]},{"key":"dc:title","label":"Title","values":["Vision based guidance of an agricultural combine"]}]}],"canonical_facts":{"dc:contributor":["Reid, John F."],"dc:creator":["Benson, Eric Randolph"],"dc:date":["2015-09-28T14:53:43Z","10000-01-01","2001"],"dc:description":["A machine vision based guidance system for agricultural combines was developed at the University of Illinois. Three machine vision guidance algorithms were developed and evaluated for guidance. The first algorithm, the Low Head Mounted Camera Algorithm (LHMCA), utilized images from a head mounted camera that directly viewed the cut/uncut crop edge. The LHMCA was used under actual field conditions in 1999; however, shadows and poor crop condition compromised performance of the algorithm. The High Head Mounted Camera Algorithm (HHMCA) used a camera mounted on the head directly above the cut/uncut edge to image the scene. The HHMCA performed well in the laboratory; poor image quality in the field restricted the use of the algorithm. The Cab Mounted Camera Algorithm (CMCA) processed images from a monochrome image sensor mounted above the cab of the combine. The CMCA closely mimics methodology used by the operator. The CMCA was used to automatically harvest 4.6 ha (12.0 a) of corn during both daylight and at night. The resulting accuracy of the guidance system (13.3 cm) was not statistically different from the accuracy of the GPS position recording system (11.0 cm).","Made available in DSpace on 2015-09-28T14:53:43Z (GMT). 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