{"id":"https://openalex.org/W4400450091","doi":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584227","title":"AI Solutions for Grilled Eggplants Sorting: A Comparative Analysis of Image-Based Techniques","display_name":"AI Solutions for Grilled Eggplants Sorting: A Comparative Analysis of Image-Based Techniques","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4400450091","doi":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584227"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot61288.2024.10584227","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/metroind4.0iot61288.2024.10584227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","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/A5064520148","display_name":"Paolo Brambilla","orcid":"https://orcid.org/0000-0002-4021-8456"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Brambilla","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049551915","display_name":"Emanuele Locatelli","orcid":"https://orcid.org/0000-0002-5507-1282"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Locatelli","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100282491","display_name":"Davide Mondin","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Mondin","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044663757","display_name":"Chiara Conese","orcid":"https://orcid.org/0009-0004-8605-1040"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Conese","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102807928","display_name":"Remo Sala","orcid":"https://orcid.org/0000-0003-4273-3766"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Remo Sala","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072914294","display_name":"Marco Tarabini","orcid":"https://orcid.org/0000-0002-2640-1764"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Tarabini","raw_affiliation_strings":["Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Mechanical Engineering Departement,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064520148"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.2916,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83745082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9690999984741211,"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":0.9690999984741211,"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/computer-science","display_name":"Computer science","score":0.711323618888855},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6910911202430725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5606147050857544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5340249538421631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4335549473762512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3961776793003082},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.214925616979599}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711323618888855},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6910911202430725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5606147050857544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5340249538421631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4335549473762512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3961776793003082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.214925616979599}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroind4.0iot61288.2024.10584227","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/metroind4.0iot61288.2024.10584227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1284972","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1284972","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2229155312","https://openalex.org/W2468213734","https://openalex.org/W2523246573","https://openalex.org/W2630837129","https://openalex.org/W2963037989","https://openalex.org/W2964309882","https://openalex.org/W3188595600","https://openalex.org/W4362703401","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4388823657","https://openalex.org/W6631190155","https://openalex.org/W6727249380","https://openalex.org/W6739696289","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"the":[1,6,15,29,69,95,117,149,164],"rapidly":[2],"evolving":[3],"food":[4,32,63,155,172],"industry,":[5],"sorting":[7,156],"process":[8],"plays":[9],"a":[10,49,66,82],"pivotal":[11],"role":[12],"in":[13,77,153],"maintaining":[14],"quality":[16],"and":[17,71,102,116,135],"efficiency":[18],"of":[19,31,52,73,84,97,151,166],"production":[20,91],"lines.":[21],"Traditional":[22],"methods,":[23],"reliant":[24],"on":[25,35,68],"human":[26],"operators":[27],"for":[28,62,170],"selection":[30,165],"items":[33],"based":[34],"external":[36],"characteristics,":[37],"are":[38],"increasingly":[39],"being":[40],"supplemented":[41],"by":[42],"advanced":[43],"technological":[44],"solutions.":[45],"This":[46,144],"study":[47,145],"presents":[48],"comprehensive":[50],"comparison":[51],"various":[53],"Artificial":[54],"Intelligence":[55],"(AI)":[56],"techniques":[57,169],"applied":[58,139],"to":[59],"image":[60],"analysis":[61,107],"sorting,":[64],"with":[65],"focus":[67],"detection":[70],"classification":[72],"non-conforming":[74],"eggplant":[75,90],"slices":[76],"an":[78,89],"industrial":[79],"setting.":[80],"Utilizing":[81],"dataset":[83],"1015":[85],"images":[86],"captured":[87],"from":[88],"line,":[92],"we":[93],"explore":[94],"application":[96],"object":[98],"detection,":[99],"semantic":[100],"segmentation,":[101],"instance":[103],"segmentation":[104],"techniques.":[105],"Our":[106],"includes":[108],"cutting-edge":[109],"AI":[110,152,168],"models":[111],"such":[112],"as":[113],"YOLOv8,":[114],"DeepLabV3+,":[115],"Real-Time":[118],"Detection":[119],"Transformer":[120],"(RT-DETR),":[121],"alongside":[122],"traditional":[123],"machine":[124],"learning":[125],"algorithms":[126],"like":[127],"Stochastic":[128],"Gradient":[129],"Descent":[130],"(SGD),":[131],"Decision":[132],"Trees":[133],"(DT),":[134],"Random":[136],"Forest":[137],"(RF),":[138],"across":[140],"different":[141],"colour":[142],"spaces.":[143],"not":[146],"only":[147],"highlights":[148],"potential":[150],"enhancing":[154],"processes":[157],"but":[158],"also":[159],"provides":[160],"valuable":[161],"insights":[162],"into":[163],"appropriate":[167],"specific":[171],"industry":[173],"applications.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
