{"id":"https://openalex.org/W2765845002","doi":"https://doi.org/10.1109/whispers.2015.8075445","title":"Nondestructive monitoring of chicken meat freshness using hyperspectral imaging technology","display_name":"Nondestructive monitoring of chicken meat freshness using hyperspectral imaging technology","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2765845002","doi":"https://doi.org/10.1109/whispers.2015.8075445","mag":"2765845002"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2015.8075445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5002160639","display_name":"Xujun Ye","orcid":"https://orcid.org/0000-0001-8409-2202"},"institutions":[{"id":"https://openalex.org/I146516829","display_name":"Hirosaki University","ror":"https://ror.org/02syg0q74","country_code":"JP","type":"education","lineage":["https://openalex.org/I146516829"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xujun Ye","raw_affiliation_strings":["Faculty of Agriculture and Life Science, Hirosaki University, Aomori, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Agriculture and Life Science, Hirosaki University, Aomori, Japan","institution_ids":["https://openalex.org/I146516829"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019386375","display_name":"Kanako Iino","orcid":null},"institutions":[{"id":"https://openalex.org/I146516829","display_name":"Hirosaki University","ror":"https://ror.org/02syg0q74","country_code":"JP","type":"education","lineage":["https://openalex.org/I146516829"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kanako Iino","raw_affiliation_strings":["Hirosaki Daigaku, Hirosaki, Aomori, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hirosaki Daigaku, Hirosaki, Aomori, JP","institution_ids":["https://openalex.org/I146516829"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110446158","display_name":"Shuhuai Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I146516829","display_name":"Hirosaki University","ror":"https://ror.org/02syg0q74","country_code":"JP","type":"education","lineage":["https://openalex.org/I146516829"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhuai Zhang","raw_affiliation_strings":["Faculty of Agriculture and Life Science, Hirosaki University, Aomori, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Agriculture and Life Science, Hirosaki University, Aomori, Japan","institution_ids":["https://openalex.org/I146516829"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070234970","display_name":"Seiichi Oshita","orcid":"https://orcid.org/0000-0003-0078-8662"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Oshita","raw_affiliation_strings":["Laboratory of Bioprocess Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Bioprocess Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2326,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87799791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"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":0.9993000030517578,"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":0.9993000030517578,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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":0.945732831954956},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6629322171211243},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.49766209721565247},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49124306440353394},{"id":"https://openalex.org/keywords/imaging-spectroscopy","display_name":"Imaging spectroscopy","score":0.47623708844184875},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4613523483276367},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.4602772891521454},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4264174699783325},{"id":"https://openalex.org/keywords/chemical-imaging","display_name":"Chemical imaging","score":0.4158819615840912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36915451288223267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34542930126190186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31177279353141785},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.23676759004592896},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.2161407470703125},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12549638748168945},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12230631709098816},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12128117680549622},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10686156153678894}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.945732831954956},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6629322171211243},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.49766209721565247},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49124306440353394},{"id":"https://openalex.org/C158479148","wikidata":"https://www.wikidata.org/wiki/Q609991","display_name":"Imaging spectroscopy","level":3,"score":0.47623708844184875},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4613523483276367},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.4602772891521454},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4264174699783325},{"id":"https://openalex.org/C65597285","wikidata":"https://www.wikidata.org/wiki/Q5090469","display_name":"Chemical imaging","level":3,"score":0.4158819615840912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36915451288223267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34542930126190186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31177279353141785},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.23676759004592896},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.2161407470703125},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12549638748168945},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12230631709098816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12128117680549622},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10686156153678894}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2015.8075445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1990706958","https://openalex.org/W2007447166","https://openalex.org/W2051789183","https://openalex.org/W2051888483","https://openalex.org/W2068536139","https://openalex.org/W2084965444","https://openalex.org/W2115121540","https://openalex.org/W2118609299","https://openalex.org/W6663825396"],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2076134148","https://openalex.org/W163927463","https://openalex.org/W2082586825","https://openalex.org/W2125664143","https://openalex.org/W4386427838","https://openalex.org/W2058549613","https://openalex.org/W2553040330","https://openalex.org/W2514046700","https://openalex.org/W2015356488"],"abstract_inverted_index":{"This":[0],"study":[1],"investigated":[2],"the":[3,11,48,72,81,92,100,103,107,115,129,146,170,173,180,188],"capability":[4],"of":[5,13,118,183,190],"hyperspectral":[6,184],"imaging":[7,185],"technology":[8,186],"for":[9,31,41,53,65,135,149,160,187],"monitoring":[10],"freshness":[12],"chicken":[14,19],"meat":[15,42,67,121,139,161,193],"during":[16],"storage.":[17],"Fresh":[18],"meats":[20],"were":[21,36,56,88,133,142,163],"prepared":[22],"and":[23,47,80,111,141,166],"stored":[24],"in":[25,60],"a":[26,154],"refrigerator":[27],"at":[28],"4":[29],"\u00b0C":[30],"8":[32],"days.":[33],"Hyperspectral":[34],"images":[35],"obtained":[37],"every":[38],"24":[39],"hours":[40],"samples":[43,162],"with":[44,102],"ImSpector":[45],"V10E,":[46],"average":[49],"spectral":[50],"reflectance":[51],"data":[52],"each":[54,66],"sample":[55,68],"extracted.":[57],"The":[58,124,157,177],"bacteria":[59,191],"colony":[61],"forming":[62],"unit":[63],"(CFU)":[64],"was":[69],"measured":[70],"by":[71,144,168],"basic":[73],"bacterial":[74],"cultivation":[75],"techniques.":[76],"Simple":[77],"correlation":[78],"analysis":[79],"two":[82,131],"band":[83],"vegetation":[84],"index":[85],"(TBVI)":[86],"methods":[87],"used":[89],"to":[90],"develop":[91],"spectra-based":[93],"CFU":[94,119,159],"prediction":[95],"models.":[96],"Results":[97],"indicated":[98],"that":[99],"model":[101,171],"TBVI":[104,125,147,175],"based":[105,127],"on":[106,120,128,138,153,192],"wavelengths":[108,132],"700":[109],"nm":[110,113],"650":[112],"achieved":[114],"optimal":[116],"estimation":[117],"surface":[122],"(R2=0.9328).":[123],"values":[126,148],"above":[130],"calculated":[134,165],"all":[136,150],"pixels":[137,152],"images,":[140],"visualized":[143,167],"displaying":[145],"corresponding":[151],"new":[155,174],"image.":[156,176],"predicted":[158],"then":[164],"incorporating":[169],"into":[172],"results":[178],"demonstrated":[179],"promising":[181],"potential":[182],"detection":[189],"surface.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}