{"id":"https://openalex.org/W4411098841","doi":"https://doi.org/10.1145/3723178.3723291","title":"Towards Dry Fruit and Nut Sorting Automation: A Comparative Analysis of YOLO Models for Object Detection","display_name":"Towards Dry Fruit and Nut Sorting Automation: A Comparative Analysis of YOLO Models for Object Detection","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4411098841","doi":"https://doi.org/10.1145/3723178.3723291"},"language":"en","primary_location":{"id":"doi:10.1145/3723178.3723291","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723291","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723291","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723291","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117857383","display_name":"Md. Tanzid Ahsan","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Tanzid Ahsan","raw_affiliation_strings":["School of Science and Engineering, United International University, Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0007-8526-7052","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, United International University, Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113068477","display_name":"Raiyan Rahman","orcid":"https://orcid.org/0009-0007-8492-935X"},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Raiyan Rahman","raw_affiliation_strings":["School of Science and Engineering, United International University, Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0007-8492-935X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, United International University, Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5117857383"],"corresponding_institution_ids":["https://openalex.org/I63169043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16239985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"854","last_page":"861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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":0.9990000128746033,"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/T12486","display_name":"Food Supply Chain Traceability","score":0.986299991607666,"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":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.8344525098800659},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6633303761482239},{"id":"https://openalex.org/keywords/nut","display_name":"Nut","score":0.640911340713501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.624721348285675},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5440465807914734},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.419253408908844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2948352098464966},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16006436944007874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11554262042045593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08942350745201111}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.8344525098800659},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6633303761482239},{"id":"https://openalex.org/C206391251","wikidata":"https://www.wikidata.org/wiki/Q1186738","display_name":"Nut","level":2,"score":0.640911340713501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624721348285675},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5440465807914734},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.419253408908844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2948352098464966},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16006436944007874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11554262042045593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08942350745201111},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural 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:10.1145/3723178.3723291","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723291","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723291","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723178.3723291","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723291","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723291","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319006","display_name":"United International University","ror":"https://ror.org/01tqv1p28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411098841.pdf","grobid_xml":"https://content.openalex.org/works/W4411098841.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2131678886","https://openalex.org/W2501369945","https://openalex.org/W3122799380","https://openalex.org/W3160565250","https://openalex.org/W3177696923","https://openalex.org/W3202247627","https://openalex.org/W4210598935","https://openalex.org/W4221023897","https://openalex.org/W4291819654","https://openalex.org/W4315782998","https://openalex.org/W4386026773","https://openalex.org/W4390204374","https://openalex.org/W4391219168"],"related_works":["https://openalex.org/W2744908057","https://openalex.org/W2922185376","https://openalex.org/W2345825469","https://openalex.org/W2326061054","https://openalex.org/W4206650057","https://openalex.org/W2331573235","https://openalex.org/W4242983757","https://openalex.org/W2491170396","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Dry":[0],"fruit":[1],"and":[2,19,32,37,42,65,71,75,92,108,121,159,171,266,276,286],"nut":[3],"detection":[4,61,262,278],"is":[5,199],"an":[6,134,143],"important":[7],"part":[8],"of":[9,26,44,62,102,113,146,162,173,180,226,238,244,259],"the":[10,24,40,48,54,78,100,125,163,186,216,223,227,245,280],"food":[11,49,82,246],"processing":[12,50,247],"industry":[13],"for":[14,141,192,255,273,283],"product":[15,69],"sorting,":[16],"quality":[17,70],"control,":[18],"allergen":[20],"detection.This":[21],"study":[22,249],"presents":[23],"results":[25,161],"various":[27,63],"YOLO":[28,104,228],"models":[29,132,206,239],"to":[30,88],"detect":[31],"classify":[33],"common":[34],"dry":[35,66,119,274],"fruits":[36,67,120,275],"nuts.By":[38],"improving":[39],"accuracy":[41,140,202,265],"reliability":[43],"automated":[45],"systems":[46],"in":[47,149,194,203,234],"industry,":[51],"we":[52,98],"address":[53],"challenges":[55],"posed":[56],"by":[57],"visually":[58],"similar":[59],"objects.Accurate":[60],"nuts":[64,277],"ensures":[68],"enables":[72],"efficient":[73],"sorting":[74],"packaging":[76],"processes.At":[77],"same":[79],"time,":[80],"In":[81],"manufacturing":[83],"facilities":[84],"it":[85],"can":[86,250],"help":[87],"prevent":[89],"allergic":[90],"reactions":[91],"safeguard":[93],"consumer":[94],"health.In":[95],"our":[96],"research,":[97],"compared":[99],"performance":[101,127],"different":[103],"architectures-v5,":[105],"v8,":[106],"v9,":[107],"v10":[109],"on":[110,155,201],"a":[111,176,189,211,252,269],"dataset":[112,270],"3,776":[114],"annotated":[115,272],"images,":[116],"utilizing":[117],"mixed":[118],"nuts.Therefore,":[122],"This":[123],"identifies":[124],"best":[126],"model":[128,148,229],"among":[129],"these":[130],"four":[131],"under":[133],"industrial":[135],"setting":[136],"that":[137,166,185],"requires":[138],"high":[139,197],"detecting":[142,150],"object.The":[144],"capability":[145],"each":[147],"objects":[151],"was":[152],"analyzed":[153],"based":[154],"accuracy,":[156],"precision,":[157],"recall,":[158],"mAP.The":[160],"experiment":[164],"identified":[165],"YOLOv9":[167],"has":[168,219],"better":[169],"precision":[170,179],"recall":[172],"99.5%":[174],"with":[175,263],"mean":[177],"average":[178],"99.2%":[181],"per":[182],"class.This":[183],"shows":[184],"system":[187],"remains":[188],"preferable":[190],"option":[191],"application":[193],"cases":[195],"where":[196],"demand":[198],"placed":[200],"detection.Other":[204],"Yolo":[205],"also":[207,232],"performed":[208],"well,":[209],"but":[210,231],"bit":[212],"less":[213],"than":[214],"YOLOv9.Highlighting":[215],"comparative":[217],"analysis":[218],"shown":[220],"not":[221],"only":[222],"progressive":[224],"trend":[225],"architecture":[230],"assisted":[233],"seeking":[235],"out":[236],"optimizations":[237],"against":[240],"complex":[241],"operational":[242,267],"requirements":[243],"industry.The":[248],"provide":[251],"future":[253],"benchmark":[254],"developing":[256],"improved":[257],"technologies":[258],"automatic":[260],"object":[261],"enhanced":[264],"efficiencies.Creating":[268],"specially":[271],"highlights":[279],"study's":[281],"importance":[282],"real-world":[284],"applicability":[285],"efficiency.":[287]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}