{"id":"https://openalex.org/W4391096170","doi":"https://doi.org/10.1109/icecet58911.2023.10389485","title":"Supervised Learning Models for Tomato Quality Prediction Using Electronic Nose Data","display_name":"Supervised Learning Models for Tomato Quality Prediction Using Electronic Nose Data","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4391096170","doi":"https://doi.org/10.1109/icecet58911.2023.10389485"},"language":"en","primary_location":{"id":"doi:10.1109/icecet58911.2023.10389485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5070691285","display_name":"Lionel Affognon","orcid":"https://orcid.org/0000-0003-2811-0466"},"institutions":[{"id":"https://openalex.org/I4210119417","display_name":"Universit\u00e9 d'Abomey-Calavi","ror":"https://ror.org/03gzr6j88","country_code":"BJ","type":"education","lineage":["https://openalex.org/I4210119417"]}],"countries":["BJ"],"is_corresponding":true,"raw_author_name":"Lionel Affognon","raw_affiliation_strings":["Institut de Mathématiques et de Sciences Physiques, University of Abomey-Calavi,Dangbo,Benin"],"affiliations":[{"raw_affiliation_string":"Institut de Mathématiques et de Sciences Physiques, University of Abomey-Calavi,Dangbo,Benin","institution_ids":["https://openalex.org/I4210119417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056803295","display_name":"Abdoulaye Diallo","orcid":"https://orcid.org/0000-0003-0591-4525"},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Abdoulaye Diallo","raw_affiliation_strings":["UFR des Sciences Appliquées et de Technologies, University of Gaston Berger,Saint-Louis,Senegal"],"affiliations":[{"raw_affiliation_string":"UFR des Sciences Appliquées et de Technologies, University of Gaston Berger,Saint-Louis,Senegal","institution_ids":["https://openalex.org/I112713213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016796799","display_name":"Ch\u00e9rif Diallo","orcid":"https://orcid.org/0000-0001-6606-7337"},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Ch\u00e9rif Diallo","raw_affiliation_strings":["UFR des Sciences Appliquées et de Technologies, University of Gaston Berger,Saint-Louis,Senegal"],"affiliations":[{"raw_affiliation_string":"UFR des Sciences Appliquées et de Technologies, University of Gaston Berger,Saint-Louis,Senegal","institution_ids":["https://openalex.org/I112713213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015058936","display_name":"Eug\u00e8ne C. Ezin","orcid":"https://orcid.org/0000-0002-7850-8600"},"institutions":[{"id":"https://openalex.org/I4210119417","display_name":"Universit\u00e9 d'Abomey-Calavi","ror":"https://ror.org/03gzr6j88","country_code":"BJ","type":"education","lineage":["https://openalex.org/I4210119417"]}],"countries":["BJ"],"is_corresponding":false,"raw_author_name":"Eug\u00e9ne C. Ezin","raw_affiliation_strings":["Institut de Mathématiques et de Sciences Physiques, University of Abomey-Calavi,Dangbo,Benin"],"affiliations":[{"raw_affiliation_string":"Institut de Mathématiques et de Sciences Physiques, University of Abomey-Calavi,Dangbo,Benin","institution_ids":["https://openalex.org/I4210119417"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070691285"],"corresponding_institution_ids":["https://openalex.org/I4210119417"],"apc_list":null,"apc_paid":null,"fwci":0.5619,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63144892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9993000030517578,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T10616","display_name":"Smart Agriculture and AI","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.8914480805397034},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7469435930252075},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.675130307674408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806107521057129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716717839241028},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5108498930931091},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5006363391876221},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49493497610092163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4946241080760956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46283936500549316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35973286628723145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19763511419296265}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.8914480805397034},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7469435930252075},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.675130307674408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806107521057129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716717839241028},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5108498930931091},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5006363391876221},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49493497610092163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4946241080760956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46283936500549316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35973286628723145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19763511419296265},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet58911.2023.10389485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2042838633","https://openalex.org/W2117482268","https://openalex.org/W2126131095","https://openalex.org/W2136132422","https://openalex.org/W2561758244","https://openalex.org/W2766585573","https://openalex.org/W2887370532","https://openalex.org/W2888046261","https://openalex.org/W2901217160","https://openalex.org/W2952523812","https://openalex.org/W2996331621","https://openalex.org/W3027277555","https://openalex.org/W3048848678","https://openalex.org/W3104128335","https://openalex.org/W3159752368","https://openalex.org/W4320062274","https://openalex.org/W4385624261","https://openalex.org/W6730896198"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W4394984040","https://openalex.org/W3161976747","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4399290976","https://openalex.org/W4285328440"],"abstract_inverted_index":{"The":[0,67,83,97],"goal":[1],"of":[2,10,19,22,37,53,107],"this":[3],"study":[4],"is":[5],"to":[6,46,73],"evaluate":[7],"the":[8,16,102,156,163],"feasibility":[9],"using":[11],"an":[12,94,123],"electronic":[13,124],"nose":[14,125],"for":[15,57,65,81,138],"quality-based":[17],"classification":[18,157],"two":[20],"varieties":[21,143],"tomatoes,":[23],"Tounvi":[24],"and":[25,79,110,115,159],"Akikon,":[26],"mostly":[27],"cultivated":[28],"in":[29,126,162],"Benin.":[30],"To":[31],"achieve":[32],"this,":[33],"a":[34,129,135,150],"device":[35],"consisting":[36],"8":[38],"semiconductor":[39],"metal":[40],"oxide":[41],"gas":[42],"sensors":[43],"was":[44,63,70],"used":[45],"collect":[47],"olfactory":[48],"data":[49,69],"on":[50,93,112,145],"five":[51],"fruits":[52],"each":[54,61],"tomato":[55,142,164],"variety":[56],"70":[58],"days,":[59],"until":[60],"fruit":[62],"unfit":[64],"consumption.":[66],"collected":[68],"then":[71],"utilized":[72],"train":[74],"Random":[75],"Forest,":[76],"k-NN,":[77],"SVM":[78],"MLP":[80],"classification.":[82],"obtained":[84,90],"results":[85],"showed":[86],"that,":[87],"generally,":[88],"performances":[89],"were":[91],"better":[92],"oversampled":[95,116],"dataset.":[96],"random":[98],"forest":[99],"algorithm":[100],"exhibited":[101],"highest":[103],"performance,":[104],"achieving":[105],"accuracies":[106],"0.92,":[108],"0.94,":[109],"0.98":[111],"undersampled,":[113],"normal,":[114],"data,":[117],"respectively.":[118],"Findings":[119],"indicate":[120],"that":[121,153],"utilizing":[122],"combination":[127],"with":[128],"supervised":[130],"learning":[131],"model":[132],"can":[133,154],"be":[134],"successful":[136],"approach":[137],"classifying":[139],"different":[140],"post-harvested":[141],"based":[144],"quality.":[146],"This":[147],"method":[148],"offers":[149],"valuable":[151],"solution":[152],"expedite":[155],"process":[158],"enhance":[160],"decision-making":[161],"industry.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}