{"id":"https://openalex.org/W4410858018","doi":"https://doi.org/10.1145/3708657.3708729","title":"Enhanced YOLO and RAFT for Real-Time Detection and Depth Estimation of Multiple Fruits in Orchard Environments","display_name":"Enhanced YOLO and RAFT for Real-Time Detection and Depth Estimation of Multiple Fruits in Orchard Environments","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4410858018","doi":"https://doi.org/10.1145/3708657.3708729"},"language":"en","primary_location":{"id":"doi:10.1145/3708657.3708729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708657.3708729","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708657.3708729","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Communication and Information Processing","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/10.1145/3708657.3708729","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yang Cheng","orcid":"https://orcid.org/0009-0006-7128-5105"},"institutions":[{"id":"https://openalex.org/I4210152816","display_name":"Chongqing Academy of Agricultural Sciences","ror":"https://ror.org/05hwakx34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210152816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Cheng","raw_affiliation_strings":["Chongqing Academy of Agricultural, ChongQing, ChongQing, China"],"raw_orcid":"https://orcid.org/0009-0006-7128-5105","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Agricultural, ChongQing, ChongQing, China","institution_ids":["https://openalex.org/I4210152816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103389970","display_name":"Rui Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Gong","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, BeiJing, BeiJing, China"],"raw_orcid":"https://orcid.org/0009-0005-9459-5432","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, BeiJing, BeiJing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076764016","display_name":"XianFeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152816","display_name":"Chongqing Academy of Agricultural Sciences","ror":"https://ror.org/05hwakx34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210152816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XianFeng Zhang","raw_affiliation_strings":["Chongqing Academy of Agricultural, ChongQing, ChongQing, China"],"raw_orcid":"https://orcid.org/0009-0008-3928-8490","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Agricultural, ChongQing, ChongQing, China","institution_ids":["https://openalex.org/I4210152816"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-0842-2334"},"institutions":[{"id":"https://openalex.org/I4210152816","display_name":"Chongqing Academy of Agricultural Sciences","ror":"https://ror.org/05hwakx34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210152816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Chongqing Academy of Agricultural, ChongQing, ChongQing, China"],"raw_orcid":"https://orcid.org/0000-0002-0842-2334","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Agricultural, ChongQing, ChongQing, China","institution_ids":["https://openalex.org/I4210152816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033064743","display_name":"Zha Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152816","display_name":"Chongqing Academy of Agricultural Sciences","ror":"https://ror.org/05hwakx34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210152816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zha","raw_affiliation_strings":["Chongqing Academy of Agricultural, ChongQing, ChongQing, China"],"raw_orcid":"https://orcid.org/0009-0001-7606-6722","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Agricultural, ChongQing, ChongQing, China","institution_ids":["https://openalex.org/I4210152816"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhonghua Cao","orcid":"https://orcid.org/0009-0005-6057-895X"},"institutions":[{"id":"https://openalex.org/I4210152816","display_name":"Chongqing Academy of Agricultural Sciences","ror":"https://ror.org/05hwakx34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210152816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Cao","raw_affiliation_strings":["Chongqing Academy of Agricultural, ChongQing, ChongQing, China"],"raw_orcid":"https://orcid.org/0009-0005-6057-895X","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Agricultural, ChongQing, ChongQing, China","institution_ids":["https://openalex.org/I4210152816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101620304","display_name":"Jiguang Zhang","orcid":"https://orcid.org/0000-0002-8212-1361"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Zhang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, BeiJing, BeiJing, China"],"raw_orcid":"https://orcid.org/0000-0002-8212-1361","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, BeiJing, BeiJing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065076166","display_name":"Weilong Ding","orcid":"https://orcid.org/0000-0001-6910-0075"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilong Ding","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, ZheJing, China"],"raw_orcid":"https://orcid.org/0000-0001-6910-0075","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, ZheJing, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011919230","display_name":"Shibiao Xu","orcid":"https://orcid.org/0000-0003-4037-9900"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibiao Xu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, BeiJing, BeiJing, China"],"raw_orcid":"https://orcid.org/0000-0003-4037-9900","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, BeiJing, BeiJing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27171207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9940999746322632,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9923999905586243,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/orchard","display_name":"Orchard","score":0.8326034545898438},{"id":"https://openalex.org/keywords/raft","display_name":"Raft","score":0.7799318432807922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5900236964225769},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4451354444026947},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12890684604644775},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09203028678894043},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08304464817047119},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0642472505569458}],"concepts":[{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.8326034545898438},{"id":"https://openalex.org/C9132879","wikidata":"https://www.wikidata.org/wiki/Q17100313","display_name":"Raft","level":4,"score":0.7799318432807922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5900236964225769},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4451354444026947},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12890684604644775},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09203028678894043},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08304464817047119},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0642472505569458},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C521977710","wikidata":"https://www.wikidata.org/wiki/Q81163","display_name":"Polymer","level":2,"score":0.0},{"id":"https://openalex.org/C15920480","wikidata":"https://www.wikidata.org/wiki/Q421281","display_name":"Copolymer","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708657.3708729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708657.3708729","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708657.3708729","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3708657.3708729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708657.3708729","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708657.3708729","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Communication and Information Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2573920917","display_name":null,"funder_award_id":"62162044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5946919625","display_name":null,"funder_award_id":"32271983","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6579916853","display_name":null,"funder_award_id":"62302052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7090326123","display_name":null,"funder_award_id":"62071157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8311886428","display_name":null,"funder_award_id":"62171321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8316038559","display_name":null,"funder_award_id":"62271074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410858018.pdf","grobid_xml":"https://content.openalex.org/works/W4410858018.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2585123518","https://openalex.org/W2942094220","https://openalex.org/W2952813711","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963523428","https://openalex.org/W3017615038","https://openalex.org/W3034971973","https://openalex.org/W3082841037","https://openalex.org/W3087980862","https://openalex.org/W3106250896","https://openalex.org/W3172573759","https://openalex.org/W3179888767","https://openalex.org/W4205138939","https://openalex.org/W4214627427","https://openalex.org/W4312652803","https://openalex.org/W4386038363","https://openalex.org/W4386076325"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2357290554","https://openalex.org/W2334468155","https://openalex.org/W1949830826","https://openalex.org/W2795856745","https://openalex.org/W194711897","https://openalex.org/W2372554067","https://openalex.org/W2366815386"],"abstract_inverted_index":{"In":[0],"the":[1,34,81,86,133],"modern":[2],"fruit":[3],"and":[4,17,20,29,36,39,43,64,83,88,98,111,127,147],"vegetable":[5],"industry,":[6],"manual":[7],"harvesting":[8,125],"incurs":[9],"significant":[10],"costs.Harvesting":[11],"robots":[12],"can":[13],"reduce":[14],"labor":[15],"costs":[16],"improve":[18],"efficiency":[19],"economic":[21],"benefits.However,":[22],"challenges":[23],"such":[24],"as":[25],"occlusion,":[26],"uneven":[27],"lighting,":[28],"adverse":[30],"weather":[31],"conditions":[32],"complicate":[33],"rapid":[35],"accurate":[37,65],"identification":[38],"localization":[40,89],"of":[41,85,106,144],"fruits":[42,146],"vegetables.To":[44],"address":[45],"these":[46],"issues,":[47],"we":[48,136],"propose":[49],"a":[50,142],"solution":[51],"that":[52,117],"integrates":[53],"an":[54],"enhanced":[55],"YOLO":[56],"(You":[57],"Only":[58],"Look":[59],"Once)":[60],"network":[61],"for":[62,74,122],"real-time":[63,123],"object":[66],"detection":[67,87],"with":[68],"RAFT":[69],"(Recurrent":[70],"All-Pairs":[71],"Field":[72],"Transforms)":[73],"depth":[75,112],"estimation.This":[76],"combination":[77],"significantly":[78],"improves":[79],"both":[80],"speed":[82],"accuracy":[84],"process.We":[90],"conducted":[91],"experiments":[92,139],"on":[93],"our":[94,118,138],"own":[95],"orchard":[96,124,152],"dataset":[97],"public":[99],"datasets,":[100],"demonstrating":[101],"good":[102],"performance":[103,156],"in":[104],"terms":[105],"average":[107],"precision,":[108],"frame":[109],"rate,":[110],"estimation":[113],"error.The":[114],"results":[115],"show":[116],"method":[119],"is":[120],"suitable":[121],"tasks":[126],"has":[128],"practical":[129],"value.Additionally,":[130],"to":[131,140],"enhance":[132],"model's":[134],"generalizability,":[135],"extended":[137],"include":[141],"variety":[143],"other":[145],"vegetables":[148],"across":[149],"multiple":[150],"natural":[151],"environments,":[153],"confirming":[154],"robust":[155],"under":[157],"different":[158],"conditions.":[159]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
