{"id":"https://openalex.org/W4390900827","doi":"https://doi.org/10.1145/3635638.3635651","title":"MS-YOLOv5: Improved YOLOv5 Based on Multi-Head Self-Attention for Citrus Leaf Disease Severity Estimation","display_name":"MS-YOLOv5: Improved YOLOv5 Based on Multi-Head Self-Attention for Citrus Leaf Disease Severity Estimation","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4390900827","doi":"https://doi.org/10.1145/3635638.3635651"},"language":"en","primary_location":{"id":"doi:10.1145/3635638.3635651","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635638.3635651","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635638.3635651","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3635638.3635651","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061292482","display_name":"Hongchun Qu","orcid":"https://orcid.org/0000-0001-7623-2383"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchun Qu","raw_affiliation_strings":["Institute of Ecological Safety, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-7623-2383","affiliations":[{"raw_affiliation_string":"Institute of Ecological Safety, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024109380","display_name":"Qilong Bian","orcid":"https://orcid.org/0009-0002-2462-3141"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyi Bian","raw_affiliation_strings":["Institute of Ecological Safety, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0002-2462-3141","affiliations":[{"raw_affiliation_string":"Institute of Ecological Safety, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.9925,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7898282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.998199999332428,"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":0.998199999332428,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9753999710083008,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5490421056747437},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5240806937217712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47741878032684326},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47713351249694824},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4156048893928528},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33633914589881897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32832539081573486},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.20193153619766235},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19801238179206848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16708949208259583},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10069242119789124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5490421056747437},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5240806937217712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47741878032684326},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47713351249694824},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4156048893928528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33633914589881897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32832539081573486},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.20193153619766235},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19801238179206848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16708949208259583},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10069242119789124},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635638.3635651","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635638.3635651","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635638.3635651","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3635638.3635651","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635638.3635651","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635638.3635651","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390900827.pdf","grobid_xml":"https://content.openalex.org/works/W4390900827.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1545766977","https://openalex.org/W2005543329","https://openalex.org/W2006274653","https://openalex.org/W2019870058","https://openalex.org/W2620147240","https://openalex.org/W2736026939","https://openalex.org/W3000877055","https://openalex.org/W3122173535","https://openalex.org/W3184166866","https://openalex.org/W3197413489","https://openalex.org/W4206990632","https://openalex.org/W4214518235","https://openalex.org/W4282588160","https://openalex.org/W4313414384","https://openalex.org/W6628973269","https://openalex.org/W6763417742","https://openalex.org/W6805708380"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W2898732673","https://openalex.org/W4249206767","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W2563559453","https://openalex.org/W3123203398","https://openalex.org/W2382330008","https://openalex.org/W1519970947"],"abstract_inverted_index":{"Accurate":[0],"disease":[1,9,23,94,107],"severity":[2,24],"estimation":[3,25],"is":[4],"vital":[5],"for":[6,20,71,91],"fruit":[7,21],"tree":[8,22],"prevention":[10],"and":[11,33,50,52,96,119,130,134],"control.":[12],"Most":[13],"of":[14,46,106],"the":[15,41,44,82,114,121],"existing":[16],"image":[17],"processing":[18],"methods":[19],"are":[26,35],"based":[27],"on":[28],"a":[29,66,87],"single":[30],"leaf":[31,53,61,73,93,100],"evaluation,":[32],"mostly,":[34],"done":[36],"in":[37,60,75,109,132],"laboratory":[38],"environment.":[39],"In":[40,63],"natural":[42,76],"environment,":[43],"effects":[45],"light":[47],"variations,":[48],"shape":[49],"size,":[51],"occlusion":[54],"can":[55],"lead":[56],"to":[57,85],"poor":[58],"accuracy":[59],"recognition.":[62],"this":[64],"study,":[65],"MS-YOLOv5":[67],"model":[68,90],"was":[69],"proposed":[70,126],"citrus":[72,92],"diseases":[74],"environments,":[77],"which":[78],"used":[79],"YOLOv5":[80],"as":[81,102,104],"main":[83],"body":[84],"build":[86],"deep":[88],"learning":[89],"detection,":[95],"achieved":[97],"more":[98],"accurate":[99],"localization":[101],"well":[103],"identification":[105],"sites":[108],"complex":[110],"environments":[111],"by":[112],"incorporating":[113],"multiple":[115],"attention":[116],"mechanism":[117],"(MHSA)":[118],"upgrading":[120],"Focal-EIoU":[122],"loss":[123],"function.":[124],"The":[125],"method":[127],"improved":[128],"2.2%":[129],"1.7%":[131],"precision":[133],"mAP.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
