{"id":"https://openalex.org/W2534218080","doi":"https://doi.org/10.1109/whispers.2012.6874234","title":"SVM-based feature extraction and classification of aflatoxin contaminated corn using fluorescence hyperspectral data","display_name":"SVM-based feature extraction and classification of aflatoxin contaminated corn using fluorescence hyperspectral data","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2534218080","doi":"https://doi.org/10.1109/whispers.2012.6874234","mag":"2534218080"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027637869","display_name":"Haibo Yao","orcid":"https://orcid.org/0000-0003-2967-0051"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haibo Yao","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012263792","display_name":"Zuzana Hruska","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuzana Hruska","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010764251","display_name":"Russell Kincaid","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell Kincaid","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061305604","display_name":"Robert L. Brown","orcid":"https://orcid.org/0000-0002-2294-5721"},"institutions":[{"id":"https://openalex.org/I4210092201","display_name":"Southern Regional Research Center","ror":"https://ror.org/01cghcn81","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210092201","https://openalex.org/I4210122704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert L. Brown","raw_affiliation_strings":["Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA","institution_ids":["https://openalex.org/I4210092201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106123975","display_name":"Deepak Bhatnagar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092201","display_name":"Southern Regional Research Center","ror":"https://ror.org/01cghcn81","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210092201","https://openalex.org/I4210122704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Bhatnagar","raw_affiliation_strings":["Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA","institution_ids":["https://openalex.org/I4210092201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026426093","display_name":"Thomas E. Cleveland","orcid":"https://orcid.org/0000-0003-1992-8450"},"institutions":[{"id":"https://openalex.org/I4210092201","display_name":"Southern Regional Research Center","ror":"https://ror.org/01cghcn81","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210092201","https://openalex.org/I4210122704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas E. Cleveland","raw_affiliation_strings":["Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Regional Research Center, USDA-ARS, New Orleans, LA, USA","institution_ids":["https://openalex.org/I4210092201"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027637869"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39441832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8655259609222412},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.787986159324646},{"id":"https://openalex.org/keywords/aflatoxin","display_name":"Aflatoxin","score":0.7399243116378784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6080837249755859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005697846412659},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.5869707465171814},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4634769856929779},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45588430762290955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37524670362472534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32441115379333496},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15000423789024353},{"id":"https://openalex.org/keywords/biotechnology","display_name":"Biotechnology","score":0.12190952897071838}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8655259609222412},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.787986159324646},{"id":"https://openalex.org/C40758303","wikidata":"https://www.wikidata.org/wiki/Q212936","display_name":"Aflatoxin","level":2,"score":0.7399243116378784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6080837249755859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005697846412659},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.5869707465171814},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4634769856929779},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45588430762290955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37524670362472534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32441115379333496},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15000423789024353},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.12190952897071838},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W164439786","https://openalex.org/W2014173938","https://openalex.org/W2018629356","https://openalex.org/W2038492635","https://openalex.org/W2045540557","https://openalex.org/W2063907334","https://openalex.org/W2098057602","https://openalex.org/W2101246835","https://openalex.org/W2149746105","https://openalex.org/W2153534417","https://openalex.org/W2159716791","https://openalex.org/W3023540311","https://openalex.org/W6662101596","https://openalex.org/W6675520270"],"related_works":["https://openalex.org/W27164774","https://openalex.org/W2593609407","https://openalex.org/W4285393250","https://openalex.org/W2012565509","https://openalex.org/W2093882081","https://openalex.org/W1604346844","https://openalex.org/W2131673502","https://openalex.org/W2531389236","https://openalex.org/W1974771118","https://openalex.org/W2006253631"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"(SVM)":[3],"was":[4,24,53,82],"used":[5,54,67],"in":[6,36,135,144],"the":[7,31,44,48,70,85,92,101,112,116,145],"Genetic":[8],"Algorithms":[9],"(GA)":[10],"process":[11],"to":[12,26,68,111],"select":[13],"and":[14,63,76,89,106,139,149],"classify":[15],"a":[16],"subset":[17,117],"of":[18,33,118,147],"hyperspectral":[19,28],"image":[20,119,129],"bands.":[21],"The":[22,79,96],"method":[23],"applied":[25],"fluorescence":[27],"data":[29,137],"for":[30,84,91,153],"detection":[32],"aflatoxin":[34,59],"contamination":[35,154],"Aspergillus":[37],"flavus":[38],"infected":[39],"single":[40,71],"corn":[41,72],"kernels.":[42],"In":[43],"band":[45],"selection":[46],"process,":[47],"training":[49],"sample":[50],"classification":[51],"accuracy":[52,81],"as":[55],"fitness":[56],"function.":[57],"Two":[58],"thresholds,":[60],"20":[61,86],"ppb":[62,87,94],"100":[64,93],"ppb,":[65],"were":[66,98],"divide":[69],"kernels":[73],"into":[74],"clean":[75],"contaminated":[77],"samples.":[78],"validation":[80],"87.7%":[83],"threshold":[88],"90.5%":[90],"threshold.":[95],"results":[97],"generated":[99],"from":[100],"GA":[102],"selected":[103],"36":[104],"bands":[105,120],"11":[107],"bands,":[108],"respectively.":[109],"Compared":[110],"full":[113],"wavelength":[114],"classification,":[115],"had":[121],"slightly":[122],"better":[123],"or":[124],"similar":[125],"performance.":[126],"A":[127],"reduced":[128],"space":[130],"could":[131],"save":[132],"time":[133],"both":[134],"spectral":[136],"acquisition":[138],"analysis,":[140],"which":[141],"is":[142],"crucial":[143],"development":[146],"rapid":[148],"none":[150],"invasive":[151],"methods":[152],"detection.":[155]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}