{"id":"https://openalex.org/W4414229478","doi":"https://doi.org/10.1109/access.2025.3609839","title":"Accurate Detection Algorithm of Diaphorina Citri Based on YOLOv10s-C2M","display_name":"Accurate Detection Algorithm of Diaphorina Citri Based on YOLOv10s-C2M","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414229478","doi":"https://doi.org/10.1109/access.2025.3609839"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3609839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609839","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3609839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102361297","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-3493-4584"},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Big Data and Artificial Intelligence, Anhui Xinhua University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Artificial Intelligence, Anhui Xinhua University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210156464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102361297"],"corresponding_institution_ids":["https://openalex.org/I4210156464"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32728522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"162238","last_page":"162248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.3174000084400177,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.3174000084400177,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/diaphorina-citri","display_name":"Diaphorina citri","score":0.9750000238418579},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/effi","display_name":"Effi","score":0.37630000710487366},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.35530000925064087},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.32850000262260437},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3172000050544739}],"concepts":[{"id":"https://openalex.org/C2779564476","wikidata":"https://www.wikidata.org/wiki/Q5271771","display_name":"Diaphorina citri","level":3,"score":0.9750000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602999806404114},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43389999866485596},{"id":"https://openalex.org/C2780707294","wikidata":"https://www.wikidata.org/wiki/Q27795853","display_name":"Effi","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26600000262260437}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3609839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609839","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d4b1a818862549a3bb3a78dd134251ab","is_oa":true,"landing_page_url":"https://doaj.org/article/d4b1a818862549a3bb3a78dd134251ab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 162238-162248 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3609839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609839","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Huanglong":[0],"disease":[1,5],"is":[2,26],"a":[3,58,89,117],"devastating":[4],"that":[6],"seriously":[7],"threatens":[8],"the":[9,12,16,34,70,75,84,103,153,165],"safety":[10],"of":[11,19,36,91,156,167],"citrus":[13,142],"industry,":[14],"and":[15,30,49,65,74,80,93,132,138,179],"accurate":[17],"detection":[18,98,130,170],"Diaphorina":[20,37,96,157],"Citri,":[21,38,158],"as":[22,40],"its":[23],"main":[24],"vector,":[25],"crucial":[27],"for":[28,52,152,164],"prevention":[29],"control.":[31],"Aiming":[32],"at":[33],"challenges":[35],"such":[39],"small":[41],"size,":[42],"easy":[43],"background":[44],"interference,":[45],"complex":[46],"orchard":[47,143],"environment,":[48],"limited":[50],"resources":[51],"deploying":[53],"equipment,":[54],"this":[55],"paper":[56],"proposes":[57],"novel":[59],"lightweight":[60,92,168],"composite":[61],"attention":[62,72],"module,":[63],"MBCAM,":[64],"innovatively":[66],"integrates":[67],"it":[68,82],"with":[69,102],"SE":[71],"mechanism":[73],"adaptive":[76],"downsampling":[77],"module":[78],"(ADown),":[79],"introduces":[81],"into":[83],"YOLOv10s":[85],"architecture,":[86],"to":[87],"construct":[88],"set":[90],"highly":[94],"efficient":[95],"Citri":[97],"model,":[99,105],"YOLOv10s-C2M.":[100],"Compared":[101],"benchmark":[104],"YOLOv10s-C2M":[106],"has":[107,173],"improved":[108,123],"inference":[109],"speed":[110],"by":[111,124],"25.50%,":[112],"reaching":[113,126],"3.8ms,":[114],"while":[115],"achieving":[116],"significant":[118],"breakthrough":[119],"in":[120,140],"accuracy,":[121],"mAP@0.5":[122],"4.53%,":[125],"89.77%.This":[127],"method":[128],"balances":[129],"accuracy":[131],"deployment":[133],"efficiency,":[134],"demonstrating":[135],"good":[136],"adaptability":[137],"practicality":[139],"actual":[141],"scenarios.":[144],"This":[145],"study":[146],"not":[147],"only":[148],"provides":[149,161],"technical":[150],"support":[151],"intelligent":[154,176],"monitoring":[155],"but":[159],"also":[160],"new":[162],"ideas":[163],"design":[166],"pest":[169],"models,":[171],"which":[172],"important":[174],"agricultural":[175],"application":[177],"value":[178],"promotion":[180],"prospects.":[181]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}