{"id":"https://openalex.org/W4389352591","doi":"https://doi.org/10.1109/access.2023.3340148","title":"Citrus Diseases and Pests Detection Model Based on Self-Attention YOLOV8","display_name":"Citrus Diseases and Pests Detection Model Based on Self-Attention YOLOV8","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389352591","doi":"https://doi.org/10.1109/access.2023.3340148"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3340148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3340148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345622.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103032362","display_name":"Dehuan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehuan Luo","raw_affiliation_strings":["College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-4163-2855","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112746051","display_name":"Yueju Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueju Xue","raw_affiliation_strings":["College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114148076","display_name":"Xinru Deng","orcid":"https://orcid.org/0000-0002-0477-2521"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Deng","raw_affiliation_strings":["College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111727985","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0003-0168-1074"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950408","display_name":"Haifei Chen","orcid":"https://orcid.org/0000-0003-1062-2818"},"institutions":[{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifei Chen","raw_affiliation_strings":["Guangzhou Tianhui Technology Company Ltd., Guangzhou, China","Guangzhou Tianhui Technology Company Limited, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Tianhui Technology Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Guangzhou Tianhui Technology Company Limited, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113063460","display_name":"Zhujiang Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145393","display_name":"Hainan Agricultural School","ror":"https://ror.org/04p8ncq94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145393"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhujiang Mo","raw_affiliation_strings":["Lianzhou Haicheng Agricultural Science and Technology Development Company Ltd., Qingyuan, China","Lianzhou Haicheng Agricultural Science and Technology Development Company Limited, Lianzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lianzhou Haicheng Agricultural Science and Technology Development Company Ltd., Qingyuan, China","institution_ids":["https://openalex.org/I4210145393"]},{"raw_affiliation_string":"Lianzhou Haicheng Agricultural Science and Technology Development Company Limited, Lianzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":19.5642,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":{"value":0.99448251,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"139872","last_page":"139881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9567999839782715,"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/T10494","display_name":"Plant Virus Research Studies","score":0.9391000270843506,"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/computer-science","display_name":"Computer science","score":0.655533492565155},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5898600816726685},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5594329833984375},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.49442124366760254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4659845232963562},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4142230153083801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39870569109916687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27958834171295166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20663613080978394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655533492565155},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5898600816726685},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5594329833984375},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.49442124366760254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4659845232963562},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4142230153083801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39870569109916687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27958834171295166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20663613080978394},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3340148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3340148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f128057286b542a19a81b9791c630646","is_oa":true,"landing_page_url":"https://doaj.org/article/f128057286b542a19a81b9791c630646","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 139872-139881 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3340148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3340148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389352591.pdf","grobid_xml":"https://content.openalex.org/works/W4389352591.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1964684327","https://openalex.org/W1996379420","https://openalex.org/W1999238555","https://openalex.org/W2097117768","https://openalex.org/W2944599236","https://openalex.org/W2962791118","https://openalex.org/W3048493999","https://openalex.org/W3154158677","https://openalex.org/W3171038842","https://openalex.org/W4293584584","https://openalex.org/W4296412923","https://openalex.org/W4297991949","https://openalex.org/W4313160444","https://openalex.org/W4386047745","https://openalex.org/W4386075524","https://openalex.org/W4386076493","https://openalex.org/W4386175477","https://openalex.org/W4391307079","https://openalex.org/W6750227808","https://openalex.org/W6796538260","https://openalex.org/W6804624231","https://openalex.org/W6843259600","https://openalex.org/W6853972953"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W1496225612","https://openalex.org/W2765338038","https://openalex.org/W4386191828","https://openalex.org/W1566843515","https://openalex.org/W4292850564","https://openalex.org/W1523500768","https://openalex.org/W2161045342","https://openalex.org/W2943002782"],"abstract_inverted_index":{"To":[0],"accurately":[1],"detect":[2,179],"citrus":[3,57,92,124,139,275],"diseases":[4,93,163,278],"and":[5,54,59,61,66,88,94,128,164,173,206,221,236,253,271,277,290],"pests":[6,165,276],"in":[7,11,40,203,214,219,225,246,279,293],"real":[8],"time,":[9],"even":[10],"complex":[12,48,267],"natural":[13,294],"environments,":[14],"this":[15],"study":[16],"proposes":[17],"a":[18,96,180,211,216,222],"Light-SA":[19,148,197,239,258],"YOLOV8":[20,149,198,240,259],"(Lightweight":[21],"Self-Attention":[22],"YOLOV8)":[23],"model.":[24],"Based":[25],"on":[26,56,166],"YOLOV8,":[27],"the":[28,31,37,41,70,77,81,103,113,138,147,159,184,193,196,238,263],"model":[29,150,199,241,260],"introduces":[30],"BRA":[32],"self-attention":[33],"mechanism":[34],"module":[35],"before":[36],"SPPF":[38],"layer":[39],"backbone":[42,78],"to":[43,79,85,178,231],"overcome":[44],"challenges":[45,264],"posed":[46,265],"by":[47,266],"backgrounds,":[49,268],"such":[50],"as":[51,102],"uneven":[52],"lighting":[53],"reflections":[55],"leaves":[58],"fruits,":[60],"achieve":[62],"flexible":[63],"computation":[64],"allocation":[65],"content":[67],"awareness.":[68],"And,":[69],"FasterNet":[71],"Block":[72],"is":[73,110,188],"also":[74],"introduced":[75],"into":[76],"decrease":[80],"computational":[82,89,207,226],"complexity.":[83],"Moreover,":[84,183],"enhance":[86],"precision":[87,248],"efficiency":[90],"for":[91,158,286],"pests,":[95],"new":[97],"feature":[98],"fusion":[99],"technique,":[100],"known":[101],"AFPN":[104],"(asymptotic":[105],"characteristic":[106],"pyramid":[107],"network)":[108],"structure,":[109],"employed":[111],"at":[112],"Neck.":[114],"The":[115,169,256],"constructed":[116],"dataset":[117],"includes":[118],"five":[119],"types":[120,161],"of":[121,135,156,162,249,274],"diseases:":[122],"anthracnose,":[123],"canker,":[125],"melanosis,":[126],"scab,":[127],"bacterial":[129],"brown":[130],"spot-along":[131],"with":[132,192,296],"one":[133],"type":[134],"insect":[136],"pest,":[137],"shallow":[140],"leaf":[141],"moth.":[142],"Experimental":[143],"results":[144],"demonstrate":[145],"that":[146],"achieves":[151,210,242],"an":[152,243],"average":[153,244],"detection":[154,204,247,273,292],"accuracy":[155,205],"92.6%":[157],"six":[160],"test":[167],"set.":[168],"mAP@0.5":[170],"reaches":[171],"92.5%,":[172],"it":[174],"takes":[175],"only":[176],"3.4ms":[177],"single":[181],"image.":[182],"model\u2019s":[185],"memory":[186],"consumption":[187],"just":[189],"4.5MB.":[190],"Compared":[191],"original":[194],"YOLOV8n,":[195,235],"exhibits":[200],"significant":[201],"improvements":[202],"efficiency.":[208],"It":[209],"2.8%":[212],"increase":[213,218,245],"precision(P),":[215],"0.9%":[217],"mAP@0.5,":[220],"20.7%":[223],"reduction":[224],"load.":[227],"Furthermore,":[228],"when":[229],"compared":[230],"Faster":[232],"RCNN,":[233],"YOLOV3-tiny,":[234],"YOLOV5n,":[237],"8.8%,":[250],"6%,":[251],"2.8%,":[252],"1.8%,":[254],"respectively.":[255],"proposed":[257],"effectively":[261],"mitigates":[262],"ensuring":[269],"accurate":[270],"fast":[272],"images.":[280],"This":[281],"research":[282],"offers":[283],"valuable":[284],"insights":[285],"real-time":[287],"plant":[288],"pest":[289],"disease":[291],"environments":[295],"unstructured":[297],"backgrounds.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":15}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}