{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/109441"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/109441","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Value of soil sampling and optimal sampling density for a variable rate seed application","abstract":"Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling density to generate the most statistically significant information on soil nutrients and physical conditions. The literature, however, does not describe whether the recommended sampling density is the optimal density in terms of farmers’ profit. A number of farmers and researchers criticize the cost inefficiency of grid soil sampling, while there is little research calibrating the monetary value of grid soil sampling by its density. This study evaluates the value of soil sampling in terms of estimated profit to farmers by comparing variable densities of sampling data from five samples per ha to quarter samples per hectare. To calibrate the net revenue difference of adopting different sampling densities, this research estimates the yield response functions of seed corresponding to the density of soil sampling data. The results of this study show that a point sampling per hectare could not be the most profitable density in an experiment. In addition, estimated optimal sampling density varies from field to field by the spatial distribution pattern of soil characteristics.","abstract_html":"Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling density to generate the most statistically significant information on soil nutrients and physical conditions. The literature, however, does not describe whether the recommended sampling density is the optimal density in terms of farmers’ profit. A number of farmers and researchers criticize the cost inefficiency of grid soil sampling, while there is little research calibrating the monetary value of grid soil sampling by its density. This study evaluates the value of soil sampling in terms of estimated profit to farmers by comparing variable densities of sampling data from five samples per ha to quarter samples per hectare. To calibrate the net revenue difference of adopting different sampling densities, this research estimates the yield response functions of seed corresponding to the density of soil sampling data. The results of this study show that a point sampling per hectare could not be the most profitable density in an experiment. In addition, estimated optimal sampling density varies from field to field by the spatial distribution pattern of soil characteristics.","abstract_has_math":false,"creators":["Hwang, Jaeseok"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Agricultural & Applied Econ","degree_department":null,"school":null,"contributors":["Bullock, David S","Mieno, Taro","Paulson, Nicholas","Martin, Nicolas"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-03-05T21:38:22Z","date_published":"2021-03-05T21:38:22Z","updated_at":"2026-07-22T22:24:50Z","subjects":["grid soil sampling","variable rate seed application","profit-maximizing density"],"languages":["en"],"rights":["Copyright 2020 Jaeseok Hwang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/109441","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bullock, David S","Mieno, Taro","Paulson, Nicholas","Martin, Nicolas"]},{"key":"dc:creator","label":"Author","values":["Hwang, Jaeseok"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-03-05T21:38:22Z","2020-12-09","2020-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural & Applied Econ"]},{"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":["grid soil sampling","variable rate seed application","profit-maximizing density"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Jaeseok Hwang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/109441"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling density to generate the most statistically significant information on soil nutrients and physical conditions. The literature, however, does not describe whether the recommended sampling density is the optimal density in terms of farmers’ profit. A number of farmers and researchers criticize the cost inefficiency of grid soil sampling, while there is little research calibrating the monetary value of grid soil sampling by its density. This study evaluates the value of soil sampling in terms of estimated profit to farmers by comparing variable densities of sampling data from five samples per ha to quarter samples per hectare. To calibrate the net revenue difference of adopting different sampling densities, this research estimates the yield response functions of seed corresponding to the density of soil sampling data. The results of this study show that a point sampling per hectare could not be the most profitable density in an experiment. In addition, estimated optimal sampling density varies from field to field by the spatial distribution pattern of soil characteristics.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-03-04 without embargo terms","The student, Jaeseok Hwang, accepted the attached license on 2020-12-04 at 14:58.","The student, Jaeseok Hwang, submitted this Thesis for approval on 2020-12-04 at 15:06.","This Thesis was approved for publication on 2020-12-09 at 13:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16076 on 2021-03-04 at 15:36:13","Made available in DSpace on 2021-03-05T21:38:22Z (GMT). No. of bitstreams: 2 HWANG-THESIS-2020.pdf: 5440384 bytes, checksum: 44403db69669c46188f79e35923c54fd (MD5) LICENSE.txt: 4210 bytes, checksum: 12fa108773ab1d6cf8b359fe84159d6a (MD5) Previous issue date: 2020-12-09"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Value of soil sampling and optimal sampling density for a variable rate seed application"]}]}],"canonical_facts":{"dc:contributor":["Bullock, David S","Mieno, Taro","Paulson, Nicholas","Martin, Nicolas"],"dc:creator":["Hwang, Jaeseok"],"dc:date":["2021-03-05T21:38:22Z","2020-12-09","2020-12"],"dc:description":["Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling density to generate the most statistically significant information on soil nutrients and physical conditions. The literature, however, does not describe whether the recommended sampling density is the optimal density in terms of farmers’ profit. A number of farmers and researchers criticize the cost inefficiency of grid soil sampling, while there is little research calibrating the monetary value of grid soil sampling by its density. This study evaluates the value of soil sampling in terms of estimated profit to farmers by comparing variable densities of sampling data from five samples per ha to quarter samples per hectare. To calibrate the net revenue difference of adopting different sampling densities, this research estimates the yield response functions of seed corresponding to the density of soil sampling data. The results of this study show that a point sampling per hectare could not be the most profitable density in an experiment. In addition, estimated optimal sampling density varies from field to field by the spatial distribution pattern of soil characteristics.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-03-04 without embargo terms","The student, Jaeseok Hwang, accepted the attached license on 2020-12-04 at 14:58.","The student, Jaeseok Hwang, submitted this Thesis for approval on 2020-12-04 at 15:06.","This Thesis was approved for publication on 2020-12-09 at 13:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16076 on 2021-03-04 at 15:36:13","Made available in DSpace on 2021-03-05T21:38:22Z (GMT). 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