{"id":"https://openalex.org/W4416934233","doi":"https://doi.org/10.1002/cpe.70460","title":"<scp>YOLOv8n</scp> \u2010 <scp>SLW</scp> : A Lightweight Ripe Yellow Peach Detection Algorithm","display_name":"<scp>YOLOv8n</scp> \u2010 <scp>SLW</scp> : A Lightweight Ripe Yellow Peach Detection Algorithm","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W4416934233","doi":"https://doi.org/10.1002/cpe.70460"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70460","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70460","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70460","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70460","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100731165","display_name":"Xiaobing Liu","orcid":"https://orcid.org/0000-0002-0680-1947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaobing Liu","raw_affiliation_strings":["Hunan Automotive Engineering Vocational University  Zhuzhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Automotive Engineering Vocational University  Zhuzhou China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058197881","display_name":"\u620e\u5d0e \u4fca\u4e00","orcid":"https://orcid.org/0009-0001-1005-557X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rong Yi","raw_affiliation_strings":["Hunan Automotive Engineering Vocational University  Zhuzhou China"],"raw_orcid":"https://orcid.org/0009-0001-1005-557X","affiliations":[{"raw_affiliation_string":"Hunan Automotive Engineering Vocational University  Zhuzhou China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103249657","display_name":"Ling TANG","orcid":"https://orcid.org/0000-0002-0131-0188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Tang","raw_affiliation_strings":["Hunan Automotive Engineering Vocational University  Zhuzhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Automotive Engineering Vocational University  Zhuzhou China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084948806","display_name":"Chenyan Li","orcid":"https://orcid.org/0009-0005-2165-9490"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chihong Li","raw_affiliation_strings":["School of Mechanical and Intelligent Manufacturing Central South University of Forestry and Technology  Changsha China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Intelligent Manufacturing Central South University of Forestry and Technology  Changsha China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058197881"],"corresponding_institution_ids":[],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23529072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"1","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":0.9871000051498413,"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":0.9871000051498413,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.0015999999595806003,"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":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5551999807357788},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.4569999873638153},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.36250001192092896},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.35740000009536743},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.3278000056743622},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.321399986743927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666000127792358},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5713000297546387},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4918000102043152},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.36250001192092896},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70460","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70460","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70460","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/cpe.70460","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70460","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70460","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416934233.pdf","grobid_xml":"https://content.openalex.org/works/W4416934233.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2087877962","https://openalex.org/W2193145675","https://openalex.org/W2543665758","https://openalex.org/W2884561390","https://openalex.org/W2911010841","https://openalex.org/W2936307272","https://openalex.org/W2962766617","https://openalex.org/W2972006294","https://openalex.org/W2997747012","https://openalex.org/W3004299129","https://openalex.org/W3026581226","https://openalex.org/W3108259217","https://openalex.org/W3146366485","https://openalex.org/W4229005449","https://openalex.org/W4318199961","https://openalex.org/W4361222489","https://openalex.org/W4378573919","https://openalex.org/W4381165959","https://openalex.org/W4386076325","https://openalex.org/W4389161824","https://openalex.org/W4390650730","https://openalex.org/W4398756379","https://openalex.org/W4399163844","https://openalex.org/W4399534198","https://openalex.org/W4400859202","https://openalex.org/W4401179260","https://openalex.org/W4403735158","https://openalex.org/W4406164208","https://openalex.org/W4414573797"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Accurate":[1],"and":[2,121,152,174,178,186,216,221],"efficient":[3],"detection":[4,21,48,62,153,243],"of":[5,54,64,83,93,117,176,226,245],"maturity\u2010stage":[6],"yellow":[7,19,31,46,95,119,164,246],"peach":[8,20,47,120,165,247],"is":[9,56],"critical":[10],"for":[11,241],"advancing":[12],"automated":[13,65],"harvesting":[14,66],"robotics.":[15],"However,":[16],"studies":[17],"on":[18,28,51,160],"remain":[22],"insufficient,":[23],"with":[24,107,134,211],"most":[25],"efforts":[26],"focused":[27],"detecting":[29],"unripe":[30],"peach.":[32,96],"To":[33],"address":[34],"this":[35,209],"research":[36],"gap":[37],"in":[38,102],"agricultural":[39],"vision":[40],"systems,":[41],"a":[42,69,143,223,237],"novel":[43],"lightweight":[44,70,199],"ripe":[45,94,118,163],"algorithm":[49],"based":[50],"architectural":[52],"optimizations":[53],"YOLOv8n":[55,84],"proposed":[57],"to":[58,85,90,196],"meet":[59],"the":[60,81,87,103,114,123,128,148,161,169,192,201,242],"real\u2010time":[61],"requirements":[63],"robots.":[67,249],"First,":[68],"attention":[71],"mechanism":[72],"module,":[73],"SimAM":[74],"(Simple":[75],"Attention":[76],"Mechanism),":[77],"was":[78,132,206,230],"integrated":[79],"into":[80],"backbone":[82,104],"enhance":[86],"model's":[88,124,149],"ability":[89],"extract":[91],"features":[92],"Subsequently,":[97],"all":[98],"standard":[99],"convolutional":[100],"layers":[101],"were":[105,180,184],"replaced":[106],"LDConv":[108],"(Linear":[109],"Deformable":[110],"Convolution),":[111],"which":[112,183,234],"accommodates":[113],"geometric":[115],"deformations":[116],"reduces":[122],"parameter":[125],"count.":[126],"Finally,":[127],"original":[129],"loss":[130],"function":[131],"substituted":[133],"WIoUv3":[135],"(Wise":[136],"Intersection":[137],"over":[138],"Union":[139],"version":[140],"3).":[141],"Through":[142],"dynamic":[144],"non\u2010monotonic":[145],"focusing":[146],"mechanism,":[147],"generalization":[150],"performance":[151,229],"localization":[154],"accuracy":[155],"are":[156],"improved.":[157],"Experimental":[158],"results":[159],"self\u2010built":[162],"dataset":[166],"indicated":[167],"that":[168],"mean":[170,203],"Average":[171],"Precision":[172],"(mAP)":[173],"recall":[175],"95.49%":[177],"90.56%":[179],"achieved,":[181],"respectively,":[182],"4.09":[185],"2.00":[187],"percentage":[188],"points":[189],"higher":[190],"than":[191],"baseline":[193],"model.":[194],"Compared":[195],"other":[197],"mainstream":[198],"models,":[200],"highest":[202],"average":[204],"precision":[205],"attained":[207],"by":[208,232],"model,":[210],"only":[212],"2.62":[213],"M":[214],"parameters":[215],"7.51G":[217],"FLOPs":[218],"(floating\u2010point":[219],"operations),":[220],"achieved":[222],"maximum":[224],"FPS":[225],"92.7.":[227],"Efficient":[228],"demonstrated":[231],"YOLOv8n\u2010SLW,":[233],"could":[235],"provide":[236],"reliable":[238],"technical":[239],"foundation":[240],"system":[244],"picking":[248]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-03T00:00:00"}