{"id":"https://openalex.org/W4402261737","doi":"https://doi.org/10.1109/igarss53475.2024.10641396","title":"Detection and Classification of Plastic Contaminants on Chicken Meat using Color and Hyperspectral Imaging","display_name":"Detection and Classification of Plastic Contaminants on Chicken Meat using Color and Hyperspectral Imaging","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261737","doi":"https://doi.org/10.1109/igarss53475.2024.10641396"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107013328","display_name":"Rohini Maram","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":"Rohini Maram","raw_affiliation_strings":["Mississippi State University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019337252","display_name":"Sathishkumar Samiappan","orcid":"https://orcid.org/0000-0002-8443-883X"},"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":"Sathishkumar Samiappan","raw_affiliation_strings":["Mississippi State University,Geosystems Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University,Geosystems Research Institute","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062906060","display_name":"Seung-Chul Yoon","orcid":"https://orcid.org/0000-0001-8143-6559"},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I4210141533","display_name":"U.S. National Poultry Research Center","ror":"https://ror.org/03sc3bx43","country_code":"US","type":"facility","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210122704","https://openalex.org/I4210141533"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Chul Yoon","raw_affiliation_strings":["U.S. National Poultry Research Center, Agricultural Research Service,U.S. Department of Agriculture,Athens,GA,USA,30605"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. National Poultry Research Center, Agricultural Research Service,U.S. Department of Agriculture,Athens,GA,USA,30605","institution_ids":["https://openalex.org/I1312222531","https://openalex.org/I4210141533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0414,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91422737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9396","last_page":"9399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9398999810218811,"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":0.9398999810218811,"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/T10333","display_name":"Meat and Animal Product Quality","score":0.9143999814987183,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9034000039100647,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9296504259109497},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.528369665145874},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4097163677215576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3972506523132324},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39719492197036743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38836634159088135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35287943482398987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32807666063308716},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.153601735830307},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11553114652633667},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.052088141441345215}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9296504259109497},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.528369665145874},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4097163677215576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3972506523132324},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39719492197036743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38836634159088135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35287943482398987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32807666063308716},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.153601735830307},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11553114652633667},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.052088141441345215}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3112973298","https://openalex.org/W3121915942","https://openalex.org/W4200351238","https://openalex.org/W4384338599","https://openalex.org/W4385665668","https://openalex.org/W4385758992"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"This":[0,134],"paper":[1],"proposes":[2],"an":[3],"innovative":[4],"two-step":[5],"deep":[6],"learning":[7],"methodology":[8],"for":[9,40,51,103,158],"detecting":[10,82],"and":[11,22,43,65,72,78,145,160,164],"classifying":[12,124],"various":[13],"small":[14],"plastic":[15,85,127],"contaminants":[16],"(5":[17],"mm":[18,21,24,84,105],"\u00d7":[19,25],"5":[20,83],"2":[23,26,104],"mm)":[27],"on":[28,130],"chicken":[29,131],"breast":[30],"fillets.":[31],"It":[32],"combines":[33],"YOLO":[34],"object":[35],"detection":[36,91,141],"with":[37,46,89],"RGB":[38],"images":[39,48,119],"precise":[41,149],"localization":[42],"1D-CNN":[44,115],"classification":[45,111],"hyperspectral":[47,74,118,146],"(600-1,700":[49],"nm)":[50],"accurate":[52],"material":[53,150],"identification,":[54],"utilizing":[55],"12":[56,125],"common":[57,126],"polymer":[58],"types":[59,129],"like":[60],"HDPE,":[61],"LDPE,":[62],"PET,":[63],"PVC,":[64],"PP.":[66],"The":[67,110,152],"study":[68,135,153],"employed":[69],"52":[70,73],"color":[71,137],"images.":[75],"Both":[76],"YOLOv7x":[77,97],"YOLOv8x":[79,99],"excelled":[80],"at":[81],"foreign":[86,143],"materials":[87,144],"(FMs)":[88],"a":[90],"accuracy":[92,112],"of":[93,113,142,166],"99":[94],"%.":[95],"However,":[96],"outperformed":[98],"by":[100],"15":[101],"%":[102,122],"FMs":[106],"(80%":[107],"vs.":[108],"65%).":[109],"the":[114,156],"model":[116],"using":[117],"was":[120],"97":[121],"in":[123,169],"contaminant":[128],"meat":[132],"surfaces.":[133],"demonstrates":[136],"imaging":[138,147],"facilitating":[139],"real-time":[140],"enabling":[148],"identification.":[151],"results":[154],"pave":[155],"way":[157],"efficient":[159],"automated":[161],"quality":[162],"control":[163],"enhancement":[165],"safety":[167],"standards":[168],"poultry":[170],"processing.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}