{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/72464"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/72464","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A Field Information System for Site-Specific Crop Management","abstract":"Site-specific crop management (SSCM) is an old idea which new technology has given renewed impetus within the last decade. In this thesis, several theoretical analyses on SSCM were done; these were the benefits and costs analysis, cell size selection, and the blocking of spatial soil data.","abstract_html":"Site-specific crop management (SSCM) is an old idea which new technology has given renewed impetus within the last decade. In this thesis, several theoretical analyses on SSCM were done; these were the benefits and costs analysis, cell size selection, and the blocking of spatial soil data.","abstract_has_math":false,"creators":["Han, Shufeng"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Engineering","degree_department":null,"school":null,"contributors":["Goering, Carroll E."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-17T22:51:34Z","date_published":"2014-12-17T22:51:34Z","updated_at":"2026-07-22T22:26:06Z","subjects":["Engineering, Agricultural","Computer Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI9314873"],"render_values":[{"text":"(UMI)AAI9314873","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/72464","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Goering, Carroll E."]},{"key":"dc:creator","label":"Author","values":["Han, Shufeng"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-17T22:51:34Z","10000-01-01","1993"]},{"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","Computer Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/72464","(UMI)AAI9314873"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Site-specific crop management (SSCM) is an old idea which new technology has given renewed impetus within the last decade. In this thesis, several theoretical analyses on SSCM were done; these were the benefits and costs analysis, cell size selection, and the blocking of spatial soil data.","Field information system (FIS) is a software system specifically for SSCM. The FIS can perform data input, data analysis, query, and generation of application rate maps. Many issues in designing the FIS were discussed.","The following conclusions were drawn: (1) Equations for predicting the maximum yield increases and the maximum material (fertilizer) savings by SSCM were developed. At high management levels, SSCM provides much greater potential for material savings than for yield increases. (2) A mean correlation distance (MCD) was developed for use in estimating the upper limit of cell size in SSCM. Theoretical guidelines were also developed which permit calculation of minimum cell size based on accuracy of the positioning system and the desired probability that the positioning system will always identify the correct cell. The lower limit of cell size appears to be in the range from 10 m to 20 m. For the example field at the University of Illinois Agricultural Engineering Research Farm, the upper limit of cell size would likely be in the range from 20 m to 50 m. (3) A general data blocking procedure was developed for converting soil sample data to cell values. A nonparametric algorithm was implemented in the procedure, which reduces computer time tremendously. Test results showed that the blocking errors of the nonparametic method are nearly the same as with the kriging method. (4) Four agronomic models for determining the optimum application rates of N, P, K, and lime were implemented in the FIS. For these applications, only eight base maps are identified. A large spatial database may not be required for SSCM. (5) A prototype FIS was developed for use in Illinois.","Made available in DSpace on 2014-12-17T22:51:34Z (GMT). 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In this thesis, several theoretical analyses on SSCM were done; these were the benefits and costs analysis, cell size selection, and the blocking of spatial soil data.","Field information system (FIS) is a software system specifically for SSCM. The FIS can perform data input, data analysis, query, and generation of application rate maps. Many issues in designing the FIS were discussed.","The following conclusions were drawn: (1) Equations for predicting the maximum yield increases and the maximum material (fertilizer) savings by SSCM were developed. At high management levels, SSCM provides much greater potential for material savings than for yield increases. (2) A mean correlation distance (MCD) was developed for use in estimating the upper limit of cell size in SSCM. Theoretical guidelines were also developed which permit calculation of minimum cell size based on accuracy of the positioning system and the desired probability that the positioning system will always identify the correct cell. The lower limit of cell size appears to be in the range from 10 m to 20 m. For the example field at the University of Illinois Agricultural Engineering Research Farm, the upper limit of cell size would likely be in the range from 20 m to 50 m. (3) A general data blocking procedure was developed for converting soil sample data to cell values. A nonparametric algorithm was implemented in the procedure, which reduces computer time tremendously. Test results showed that the blocking errors of the nonparametic method are nearly the same as with the kriging method. (4) Four agronomic models for determining the optimum application rates of N, P, K, and lime were implemented in the FIS. For these applications, only eight base maps are identified. A large spatial database may not be required for SSCM. (5) A prototype FIS was developed for use in Illinois.","Made available in DSpace on 2014-12-17T22:51:34Z (GMT). No. of bitstreams: 1 9314873.pdf: 6289906 bytes, checksum: 7155b0bea395fa7e42dd3e0e957fe7ae (MD5) Previous issue date: 1993","Embargo set by: Seth Robbins for item 72632 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","148 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993."],"dc:identifier":["http://hdl.handle.net/2142/72464","(UMI)AAI9314873"],"dc:subject":["Engineering, Agricultural","Computer Science"],"dc:title":["A Field Information System for Site-Specific Crop Management"],"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":"2026-07-22T22:26:06Z"}