{"id":"https://openalex.org/W4318003238","doi":"https://doi.org/10.1109/gcaiot57150.2022.10019173","title":"Edge-AI Implementation for Milk Adulteration Detection","display_name":"Edge-AI Implementation for Milk Adulteration Detection","publication_year":2022,"publication_date":"2022-12-18","ids":{"openalex":"https://openalex.org/W4318003238","doi":"https://doi.org/10.1109/gcaiot57150.2022.10019173"},"language":"en","primary_location":{"id":"doi:10.1109/gcaiot57150.2022.10019173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcaiot57150.2022.10019173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","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/A5022080401","display_name":"Rahul Umesh Mhapsekar","orcid":"https://orcid.org/0000-0002-3420-3231"},"institutions":[{"id":"https://openalex.org/I4388891796","display_name":"Walton Institute for Information and Communications Systems Science","ror":"https://ror.org/05wvw0v54","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156359","https://openalex.org/I4388891796"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Rahul Umesh Mhapsekar","raw_affiliation_strings":["Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","institution_ids":["https://openalex.org/I4388891796"]},{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland","institution_ids":["https://openalex.org/I4388891796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067305313","display_name":"Lizy Abraham","orcid":"https://orcid.org/0000-0002-2217-0604"},"institutions":[{"id":"https://openalex.org/I4388891796","display_name":"Walton Institute for Information and Communications Systems Science","ror":"https://ror.org/05wvw0v54","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156359","https://openalex.org/I4388891796"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Lizy Abraham","raw_affiliation_strings":["Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","institution_ids":["https://openalex.org/I4388891796"]},{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland","institution_ids":["https://openalex.org/I4388891796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076891759","display_name":"Norah O\u2019Shea","orcid":"https://orcid.org/0000-0003-2681-2376"},"institutions":[{"id":"https://openalex.org/I141766778","display_name":"Teagasc - The Irish Agriculture and Food Development Authority","ror":"https://ror.org/03sx84n71","country_code":"IE","type":"facility","lineage":["https://openalex.org/I141766778"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Norah O'Shea","raw_affiliation_strings":["Food chemistry and technology Teagasc Food Research Centre,Cork,Ireland","Food chemistry and technology Teagasc Food Research Centre, Cork, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Food chemistry and technology Teagasc Food Research Centre,Cork,Ireland","institution_ids":["https://openalex.org/I141766778"]},{"raw_affiliation_string":"Food chemistry and technology Teagasc Food Research Centre, Cork, Ireland","institution_ids":["https://openalex.org/I141766778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047327377","display_name":"Steven Davy","orcid":"https://orcid.org/0000-0002-3300-1152"},"institutions":[{"id":"https://openalex.org/I4388891796","display_name":"Walton Institute for Information and Communications Systems Science","ror":"https://ror.org/05wvw0v54","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156359","https://openalex.org/I4388891796"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Steven Davy","raw_affiliation_strings":["Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU,Waterford,Ireland","institution_ids":["https://openalex.org/I4388891796"]},{"raw_affiliation_string":"Programmable Autonomous Systems (PAS) Walton Institute, SETU, Waterford, Ireland","institution_ids":["https://openalex.org/I4388891796"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9886000156402588,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9800000190734863,"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/computer-science","display_name":"Computer science","score":0.5704795122146606},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5665422677993774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084644556045532},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4723699688911438},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4416109323501587},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08337107300758362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5704795122146606},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5665422677993774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084644556045532},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4723699688911438},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4416109323501587},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08337107300758362},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcaiot57150.2022.10019173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcaiot57150.2022.10019173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2559848180","https://openalex.org/W2958941798","https://openalex.org/W3011279003","https://openalex.org/W3015817120","https://openalex.org/W3041971333","https://openalex.org/W3046289513","https://openalex.org/W3082245570","https://openalex.org/W3156599272","https://openalex.org/W3192932801","https://openalex.org/W3212233825","https://openalex.org/W4206099353","https://openalex.org/W4220950741","https://openalex.org/W4224009145","https://openalex.org/W6674330103","https://openalex.org/W6765390111"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Milk":[0],"is":[1,136,160],"an":[2,107],"important":[3],"source":[4],"of":[5,10,16,42,45,68,84,97],"nutrition":[6],"consumed":[7],"by":[8],"most":[9],"the":[11,36,43,66,73,82,114,127,140,151,155,164,178,183],"world's":[12],"population.":[13],"The":[14,40,78,100,143,158],"introduction":[15],"adulterants":[17,58,124,152],"(i.e.":[18],"starch,":[19],"sucrose,":[20],"formaldehyde,":[21],"etc)":[22],"into":[23],"milk,":[24],"impacts":[25],"quality":[26,67],"as":[27,29,170],"well":[28],"can":[30,52],"cause":[31],"severe":[32],"health":[33],"problems":[34],"in":[35,59,90,103,126,149,154,185,191],"people":[37],"consuming":[38],"it.":[39],"use":[41],"Internet":[44],"Things":[46],"(IoT)":[47],"with":[48],"Artificial":[49],"Intelligence":[50],"(AI)":[51],"help":[53],"predict":[54],"and":[55,173],"classify":[56,122],"milk":[57,69,86,98,128,156],"real-time":[60,95],"thereby":[61],"informing":[62],"dairy":[63,76,91],"processors":[64],"about":[65],"during":[70],"intake":[71],"to":[72,112,121,138],"plant":[74],"from":[75],"farms.":[77],"Edge-AI-based":[79],"architecture":[80,102],"allows":[81],"implementation":[83],"in-situ":[85],"adulteration":[87],"detection":[88],"techniques":[89],"processing,":[92],"hence":[93],"providing":[94,167],"monitoring":[96],"quality.":[99],"proposed":[101],"this":[104],"paper":[105],"uses":[106],"edge":[108,144,165,184],"device":[109,145,166],"(Jetson":[110],"Nano)":[111],"process":[113],"Fourier":[115],"Transformed":[116],"Infrared":[117],"(FTIR)":[118],"based":[119,188],"data":[120,171],"different":[123],"present":[125,153],"dataset.":[129,157],"A":[130],"Convolutional":[131],"Neural":[132],"Network":[133],"(CNN)":[134],"model":[135,159,181],"used":[137],"address":[139],"classification":[141],"problem.":[142],"achieved":[146],"94.87%":[147],"accuracy":[148],"classifying":[150],"successfully":[161],"trained":[162],"on":[163,189],"benefits":[168],"such":[169],"governance,":[172],"flexible":[174],"options":[175],"for":[176],"customizing":[177],"machine":[179],"learning":[180],"at":[182],"real":[186],"time":[187],"variations":[190],"adulterants.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}