{"id":"https://openalex.org/W4312648081","doi":"https://doi.org/10.1109/access.2022.3227712","title":"A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers","display_name":"A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312648081","doi":"https://doi.org/10.1109/access.2022.3227712"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3227712","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227712","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09975298.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09975298.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015215693","display_name":"Tri Huynh","orcid":"https://orcid.org/0000-0002-3143-5897"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tri Tran Minh Huynh","raw_affiliation_strings":["School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-3143-5897","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049198999","display_name":"Tuan Minh Le","orcid":"https://orcid.org/0000-0001-6979-1574"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuan Minh Le","raw_affiliation_strings":["School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-5917-3091","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110528167","display_name":"Long Ton That","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Long Ton That","raw_affiliation_strings":["School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-0775-4871","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015589169","display_name":"Ly Van Tran","orcid":"https://orcid.org/0000-0001-7621-7511"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ly Van Tran","raw_affiliation_strings":["School of Industrial Engineering and Management, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-7621-7511","affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087520757","display_name":"Son Vu Truong Dao","orcid":"https://orcid.org/0000-0001-9281-4869"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Son Vu Truong Dao","raw_affiliation_strings":["School of Industrial Engineering and Management, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-9281-4869","affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, International University, Vietnam National University Ho Chi Minh City, HCMC, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015215693"],"corresponding_institution_ids":["https://openalex.org/I123565023"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.0914,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96127555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"132260","last_page":"132270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9962999820709229,"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":0.9484000205993652,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.767929196357727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7524897456169128},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7099044919013977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6098044514656067},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5161188840866089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.484915554523468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4817464351654053},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4647001624107361},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.429263710975647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4043537974357605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767929196357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7524897456169128},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7099044919013977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6098044514656067},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5161188840866089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.484915554523468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4817464351654053},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4647001624107361},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.429263710975647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4043537974357605},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3227712","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227712","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09975298.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cba14806550046d0b0a53848dd26de47","is_oa":false,"landing_page_url":"https://doaj.org/article/cba14806550046d0b0a53848dd26de47","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 132260-132270 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27570225","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3227712","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227712","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09975298.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312648081.pdf","grobid_xml":"https://content.openalex.org/works/W4312648081.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1444952417","https://openalex.org/W1487321909","https://openalex.org/W1554646759","https://openalex.org/W1576660662","https://openalex.org/W1986566051","https://openalex.org/W1993885071","https://openalex.org/W2001422417","https://openalex.org/W2002979815","https://openalex.org/W2020089616","https://openalex.org/W2025535528","https://openalex.org/W2030363461","https://openalex.org/W2040895929","https://openalex.org/W2061438946","https://openalex.org/W2093305084","https://openalex.org/W2126185804","https://openalex.org/W2134090438","https://openalex.org/W2148633389","https://openalex.org/W2152195021","https://openalex.org/W2154086653","https://openalex.org/W2156571267","https://openalex.org/W2302877473","https://openalex.org/W2582636227","https://openalex.org/W2607690537","https://openalex.org/W2770073247","https://openalex.org/W2885770227","https://openalex.org/W2899564976","https://openalex.org/W2938183898","https://openalex.org/W2963912358","https://openalex.org/W2984432074","https://openalex.org/W2998450990","https://openalex.org/W3000011321","https://openalex.org/W3087155259","https://openalex.org/W3100776534","https://openalex.org/W3115324092","https://openalex.org/W3161496770","https://openalex.org/W3167033045","https://openalex.org/W3193844347","https://openalex.org/W4226178416","https://openalex.org/W4236137412","https://openalex.org/W6633096787","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4205762803","https://openalex.org/W4393624937","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Fruit":[0],"and":[1,4,10,26,164,187],"vegetable":[2],"identification":[3],"classification":[5,189],"system":[6],"is":[7,35,66,182],"always":[8],"necessary":[9,36],"advantageous":[11],"for":[12,107,129,142],"the":[13,16,23,45,48,52,80,83,87,91,103,111,114,131,176,188],"agriculture":[14],"business,":[15],"food":[17],"processing":[18],"sector,":[19],"as":[20,22],"well":[21],"convenience":[24],"shops":[25],"hypermarkets":[27],"where":[28],"these":[29],"products":[30],"are":[31,173],"sold.":[32],"Therefore,":[33],"it":[34],"to":[37,43,56,68,78,101,184],"build":[38],"an":[39],"effective":[40],"automated":[41],"tool":[42],"meet":[44],"needs":[46],"of":[47,113,179],"market":[49],"by":[50],"boosting":[51],"outcome,":[53],"in":[54,86],"order":[55],"improve":[57],"economic":[58],"efficiency.":[59],"In":[60,90,116],"this":[61,117],"paper,":[62],"a":[63,76,96],"two-stage":[64],"model":[65],"proposed":[67,169,180],"recognize":[69],"fruits":[70,84,109,144],"using":[71,145],"camera":[72],"images.":[73],"We":[74],"employed":[75],"Densnet121":[77],"get":[79],"features":[81,106],"from":[82,110],"dataset":[85],"first":[88],"module.":[89],"second":[92],"stage,":[93],"we":[94],"utilize":[95],"feature":[97,138],"subset":[98,137],"selection":[99],"method":[100],"choose":[102],"most":[104,132],"significant":[105],"recognizing":[108,143],"images":[112],"fruits.":[115],"study,":[118],"Adaptive":[119],"particle":[120],"-":[121],"Grey":[122],"Wolf":[123],"Optimization":[124],"(APGWO)":[125],"has":[126,139],"been":[127,140],"applied":[128],"choosing":[130],"pertinent":[133],"features.":[134],"The":[135,168],"final":[136],"used":[141],"several":[146],"machine":[147],"learning":[148],"classifiers,":[149],"namely":[150],"K-Nearest":[151],"Neighbor":[152],"(KNN),":[153],"Support":[154],"Vector":[155],"Machine":[156],"(SVM),":[157],"Decision":[158],"Tree":[159],"(DT),":[160],"Random":[161],"Forest":[162],"(RF),":[163],"Multilayer":[165],"Perceptron":[166],"(MLP).":[167],"research\u2019s":[170],"experimental":[171],"results":[172],"highly":[174],"effective;":[175],"training":[177],"time":[178],"models":[181],"reduced":[183],"over":[185],"50%,":[186],"accuracy":[190],"reaches":[191],"99%.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}