{"id":"https://openalex.org/W4322628457","doi":"https://doi.org/10.1142/s0218126623502067","title":"YOLOv5s-Cherry: Cherry Target Detection in Dense Scenes Based on Improved YOLOv5s Algorithm","display_name":"YOLOv5s-Cherry: Cherry Target Detection in Dense Scenes Based on Improved YOLOv5s Algorithm","publication_year":2023,"publication_date":"2023-02-25","ids":{"openalex":"https://openalex.org/W4322628457","doi":"https://doi.org/10.1142/s0218126623502067"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623502067","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623502067","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5036125117","display_name":"Rongli Gai","orcid":"https://orcid.org/0000-0001-8826-7479"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongli Gai","raw_affiliation_strings":["School of Information Engineering, Dalian University, Dalian 116000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8826-7479","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Dalian University, Dalian 116000, P. R. China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109599662","display_name":"Mengke Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Li","raw_affiliation_strings":["School of Information Engineering, Dalian University, Dalian 116000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Dalian University, Dalian 116000, P. R. China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861808","display_name":"Zumin Wang","orcid":"https://orcid.org/0000-0003-1194-8203"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zumin Wang","raw_affiliation_strings":["School of Information Engineering, Dalian University, Dalian 116000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Dalian University, Dalian 116000, P. R. China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013322180","display_name":"Lingyan Hu","orcid":"https://orcid.org/0000-0002-9128-4277"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyan Hu","raw_affiliation_strings":["School of Information Engineering, Dalian University, Dalian 116000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Dalian University, Dalian 116000, P. R. China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101653962","display_name":"LI Xiao-mei","orcid":"https://orcid.org/0009-0003-8103-122X"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Li","raw_affiliation_strings":["School of Information Engineering, Dalian University, Dalian 116000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Dalian University, Dalian 116000, P. R. China","institution_ids":["https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036125117"],"corresponding_institution_ids":["https://openalex.org/I4210092944"],"apc_list":null,"apc_paid":null,"fwci":1.4435,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84231042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"32","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9997000098228455,"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":0.9997000098228455,"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/T12894","display_name":"Date Palm Research Studies","score":0.9657999873161316,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.939300000667572,"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/orchard","display_name":"Orchard","score":0.6941368579864502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486578583717346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223573684692383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.560558557510376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5216615200042725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3891880512237549},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.368394136428833}],"concepts":[{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.6941368579864502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486578583717346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223573684692383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.560558557510376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5216615200042725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3891880512237549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.368394136428833},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623502067","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623502067","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.75}],"awards":[{"id":"https://openalex.org/G7992565863","display_name":null,"funder_award_id":"2020JJ26SN058","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"}],"funders":[{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2072364589","https://openalex.org/W2098976163","https://openalex.org/W2255840091","https://openalex.org/W2412887352","https://openalex.org/W2501369945","https://openalex.org/W2543665758","https://openalex.org/W2611227133","https://openalex.org/W2802474463","https://openalex.org/W2909501706","https://openalex.org/W2911554103","https://openalex.org/W2912529902","https://openalex.org/W2913126466","https://openalex.org/W2936307272","https://openalex.org/W2952996512","https://openalex.org/W2953473428","https://openalex.org/W2972422394","https://openalex.org/W2993773149","https://openalex.org/W3014178869","https://openalex.org/W3026254524","https://openalex.org/W3044607523","https://openalex.org/W3085312663","https://openalex.org/W3114980642","https://openalex.org/W3138369710","https://openalex.org/W3167246903"],"related_works":["https://openalex.org/W2357290554","https://openalex.org/W2334468155","https://openalex.org/W2590060643","https://openalex.org/W2775631375","https://openalex.org/W2212575126","https://openalex.org/W2583834057","https://openalex.org/W2320141395","https://openalex.org/W2393971270","https://openalex.org/W2388554640","https://openalex.org/W2051487156"],"abstract_inverted_index":{"Intelligent":[0],"agriculture":[1,8],"has":[2,14,32,215],"become":[3,33],"the":[4,10,49,52,58,62,68,72,93,105,126,134,146,151,155,163,193,201,204,207,211,216],"development":[5],"trend":[6],"of":[7,18,60,92,108,145,154,165,203],"in":[9,42,51,71,142,175],"future,":[11],"and":[12,20,36,56,87,102,110,157,170,206,222],"it":[13],"a":[15,34,118],"wide":[16],"range":[17],"research":[19],"application":[21],"scenarios.":[22],"Using":[23],"machine":[24,43],"learning":[25,82],"to":[26,47,66,85,150,179,191,229],"complete":[27],"basic":[28],"tasks":[29],"for":[30,220],"people":[31],"reality,":[35],"this":[37,114],"ability":[38],"is":[39,64,130,168,173,189,227],"also":[40],"used":[41,65,190],"vision.":[44],"In":[45,113,161],"order":[46],"save":[48],"time":[50],"fruit":[53],"picking":[54,70],"process":[55],"reduce":[57],"cost":[59],"labor,":[61],"robot":[63],"achieve":[67],"automatic":[69],"orchard":[73],"environment.":[74],"Cherry":[75],"target":[76,194],"detection":[77,106,120,218],"algorithms":[78],"based":[79,122],"on":[80,123],"deep":[81],"are":[83,96],"proposed":[84],"identify":[86],"pick":[88],"cherries.":[89],"However,":[90],"most":[91],"existing":[94],"methods":[95],"aimed":[97],"at":[98],"relatively":[99],"sparse":[100],"fruits":[101],"cannot":[103],"solve":[104],"problem":[107],"small":[109,221],"dense":[111,223],"fruits.":[112],"paper,":[115],"we":[116],"propose":[117],"cherry":[119,224],"model":[121,149,214],"YOLOv5s.":[124],"First,":[125],"shallow":[127],"feature":[128,135,176,181],"information":[129],"enhanced":[131],"by":[132,138,197],"convolving":[133],"maps":[136],"sampled":[137],"two":[139],"times":[140],"down":[141],"BackBone":[143],"layer":[144],"original":[147],"network":[148],"input":[152],"end":[153],"second":[156],"third":[158],"CSP":[159,166],"modules.":[160],"addition,":[162],"depth":[164],"module":[167,172],"adjusted":[169],"RFB":[171],"added":[174],"extraction":[177,182],"stage":[178],"enhance":[180],"capability.":[183],"Finally,":[184],"Soft-":[185],"Non-Maximum":[186],"Suppression":[187],"(Soft-NMS)":[188],"minimize":[192],"loss":[195],"caused":[196],"occlusion.":[198],"We":[199],"test":[200],"performance":[202,219],"model,":[205],"results":[208],"show":[209],"that":[210],"improved":[212],"YOLOv5s-cherry":[213],"best":[217],"detection,":[225],"which":[226],"conducive":[228],"intelligent":[230],"picking.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}