{"id":"https://openalex.org/W4308094880","doi":"https://doi.org/10.1109/roedunet57163.2022.9921050","title":"Image-based Fruit Recognition and Classification","display_name":"Image-based Fruit Recognition and Classification","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4308094880","doi":"https://doi.org/10.1109/roedunet57163.2022.9921050"},"language":"en","primary_location":{"id":"doi:10.1109/roedunet57163.2022.9921050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roedunet57163.2022.9921050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)","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/A5035794341","display_name":"Alexandru Marin","orcid":"https://orcid.org/0000-0002-8221-1084"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandru Marin","raw_affiliation_strings":["University Politehnica of Bucharest"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006093696","display_name":"Emilian R\u01cedoi","orcid":"https://orcid.org/0000-0002-1177-5288"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Emilian Radoi","raw_affiliation_strings":["University Politehnica of Bucharest"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":4.3223,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94435352,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9190999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7789726257324219},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7489240169525146},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6174371242523193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.615362823009491},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6003567576408386},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5582649111747742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.509096086025238},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5073646903038025},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.49545300006866455},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4564402997493744},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44340813159942627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4198920726776123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41236698627471924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3567403256893158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08386266231536865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08188262581825256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06758320331573486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789726257324219},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7489240169525146},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6174371242523193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.615362823009491},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6003567576408386},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5582649111747742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.509096086025238},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5073646903038025},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.49545300006866455},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4564402997493744},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44340813159942627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4198920726776123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41236698627471924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3567403256893158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08386266231536865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08188262581825256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06758320331573486},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roedunet57163.2022.9921050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roedunet57163.2022.9921050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4287776258","https://openalex.org/W2912288872","https://openalex.org/W2406522397","https://openalex.org/W2767651786","https://openalex.org/W3020683561","https://openalex.org/W2940977206","https://openalex.org/W2738461075","https://openalex.org/W3156786002","https://openalex.org/W3005023910","https://openalex.org/W2135447498"],"abstract_inverted_index":{"Automatically":[0],"analysing":[1],"images":[2,53,94,117],"enables":[3],"a":[4,87,108,125],"range":[5],"of":[6,11,22,32,38,51,114,118,129,149],"applications":[7],"in":[8,29,45,93],"the":[9,20,23,30,49,98,133,139,147,152],"field":[10],"agriculture,":[12],"where":[13],"many":[14],"decisions":[15],"are":[16,26],"made":[17],"based":[18],"on":[19,85,97,107],"appearance":[21],"product.":[24],"There":[25],"significant":[27,43],"benefits":[28],"automation":[31],"these":[33],"decisions.":[34],"An":[35],"important":[36],"class":[37],"problems,":[39],"which":[40],"has":[41],"seen":[42],"attention":[44],"recent":[46],"years":[47],"is":[48],"analysis":[50],"agricultural":[52],"such":[54],"as":[55,76],"fruits":[56,75],"and":[57,61,105,111,151],"vegetables":[58],"for":[59,73,90],"recognition":[60],"classifications":[62],"purposes.":[63],"This":[64],"paper":[65],"proposes":[66],"solution":[67],"that":[68,95],"uses":[69],"Convolutional":[70],"Neural":[71],"Networks":[72],"classifying":[74],"either":[77],"healthy":[78,153],"or":[79,154],"damaged.":[80],"The":[81,101,122],"algorithm":[82,123],"was":[83,103],"built":[84],"YOLOv3,":[86],"state-of-the-art":[88],"network":[89,102],"objects":[91],"detection":[92],"runs":[96],"Darknet":[99],"architecture.":[100],"trained":[104],"evaluated":[106],"newly":[109],"collected":[110,140],"annotated":[112],"dataset":[113,141],"over":[115,130],"400":[116],"12":[119,134],"different":[120],"fruits.":[121],"obtained":[124],"good":[126],"classification":[127],"accuracy":[128],"75%,":[131],"considering":[132],"double-state":[135],"classes.":[136],"We":[137],"make":[138],"available":[142],"together":[143],"with":[144],"annotations":[145],"indicating":[146],"type":[148],"fruit":[150],"damaged":[155],"state.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
