{"id":"https://openalex.org/W4405602164","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794462","title":"Evaluating Accuracy and Efficiency of Fruit Image Generation Using Generative AI Diffusion Models for Agricultural Robotics","display_name":"Evaluating Accuracy and Efficiency of Fruit Image Generation Using Generative AI Diffusion Models for Agricultural Robotics","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405602164","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794462"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz64857.2024.10794462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5113476830","display_name":"Kun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Kun Zhao","raw_affiliation_strings":["Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand"],"affiliations":[{"raw_affiliation_string":"Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034116029","display_name":"Minh Nguyen","orcid":"https://orcid.org/0000-0002-1445-3700"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Minh Nguyen","raw_affiliation_strings":["Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand"],"affiliations":[{"raw_affiliation_string":"Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100962224","display_name":"WeiQi Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Weiqi Yan","raw_affiliation_strings":["Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand"],"affiliations":[{"raw_affiliation_string":"Auckland University of Technology,Department of Computer Science &#x0026; Software Engineering,Auckland,New Zealand","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113476830"],"corresponding_institution_ids":["https://openalex.org/I39854758"],"apc_list":null,"apc_paid":null,"fwci":6.3399,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96240908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9735000133514404,"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":0.9735000133514404,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7526816129684448},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.6569147109985352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687220096588135},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5537204742431641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5008080005645752},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4479238986968994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4280683398246765},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.398503839969635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.355889230966568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34403979778289795},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.18161335587501526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17079195380210876},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09927579760551453}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7526816129684448},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.6569147109985352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687220096588135},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5537204742431641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5008080005645752},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4479238986968994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4280683398246765},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.398503839969635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.355889230966568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34403979778289795},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.18161335587501526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17079195380210876},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09927579760551453},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz64857.2024.10794462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1543182946","https://openalex.org/W2047412445","https://openalex.org/W3128607711","https://openalex.org/W3136869208","https://openalex.org/W3168997536","https://openalex.org/W3176644294","https://openalex.org/W4200171560","https://openalex.org/W4210598935","https://openalex.org/W4287848462","https://openalex.org/W4296917339","https://openalex.org/W6810023147"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W1508899372","https://openalex.org/W2355956201","https://openalex.org/W2012658348","https://openalex.org/W2039460805","https://openalex.org/W4250956039","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W4240485100","https://openalex.org/W4254970379"],"abstract_inverted_index":{"The":[0,102],"automation":[1],"of":[2,22,33,104,171,207,226],"fruit":[3,23,41,77,92,125,181],"picking":[4],"using":[5],"robotic":[6],"systems":[7],"is":[8],"rapidly":[9],"advancing":[10],"within":[11],"precision":[12],"agriculture,":[13],"relying":[14],"heavily":[15],"on":[16,45,110,193],"the":[17,31,120,169,213,223],"accurate":[18,159],"detection":[19,183],"and":[20,50,68,113,163,184,209,211,218],"segmentation":[21,100,185],"objects":[24],"through":[25],"computer":[26],"vision.":[27],"This":[28,165],"study":[29],"explores":[30],"use":[32],"generative":[34,53,173],"artificial":[35],"intelligence":[36],"(AI)":[37],"to":[38,72,89,98,197,203,221],"create":[39],"extensive":[40],"image":[42,216],"datasets,":[43],"concentrating":[44],"cherries,":[46],"bananas,":[47],"oranges,":[48],"apples,":[49],"pineapples.":[51],"Five":[52],"models\u2014Stable":[54],"Diffusion":[55,58,61,64,136,151],"v1.4,":[56],"Stable":[57,60,63,135,150],"v1.5,":[59],"v2,":[62],"XL":[65,137],"Refiner":[66,138],"1.0,":[67],"SDXL":[69,116],"Turbo\u2014were":[70],"employed":[71],"generate":[73],"1000":[74],"images":[75,160],"per":[76,133],"type,":[78],"each":[79],"set":[80],"against":[81],"a":[82,204],"white":[83],"background.":[84],"Thresholding":[85],"techniques":[86],"were":[87,95],"used":[88],"automatically":[90],"extract":[91],"boundaries,":[93],"which":[94],"then":[96],"utilized":[97],"train":[99],"models.":[101],"performance":[103,146],"these":[105,195],"models":[106,174,196],"was":[107],"evaluated":[108],"based":[109],"their":[111,201],"accuracy":[112,122,143],"processing":[114,131],"speed.":[115],"Turbo":[117],"consistently":[118],"delivered":[119],"highest":[121],"across":[123],"all":[124],"types,":[126],"though":[127],"it":[128],"required":[129],"more":[130],"time":[132],"image.":[134],"1.0":[139],"also":[140],"exhibited":[141],"strong":[142],"but":[144],"balanced":[145],"differently.":[147],"In":[148],"contrast,":[149],"v2":[152],"showed":[153],"significant":[154],"shortcomings,":[155],"particularly":[156],"in":[157,175,186],"producing":[158],"for":[161,180],"cherries":[162],"oranges.":[164],"comparative":[166],"analysis":[167],"highlights":[168],"potential":[170],"advanced":[172],"enhancing":[176],"synthetic":[177],"dataset":[178],"creation":[179],"object":[182],"agricultural":[187,227],"robotics.":[188],"Future":[189],"research":[190],"will":[191],"focus":[192],"refining":[194],"improve":[198],"accuracy,":[199],"broaden":[200],"applicability":[202],"wider":[205],"variety":[206],"fruits":[208],"environments,":[210],"optimize":[212],"trade-off":[214],"between":[215],"quality":[217],"generation":[219],"speed":[220],"meet":[222],"practical":[224],"needs":[225],"automation.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
