{"id":"https://openalex.org/W7165690911","doi":"https://doi.org/10.1007/s42979-026-05189-w","title":"Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching","display_name":"Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165690911","doi":"https://doi.org/10.1007/s42979-026-05189-w"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-026-05189-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-05189-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-05189-w.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-05189-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139184892","display_name":"Naoya Tsuruta","orcid":"https://orcid.org/0009-0006-9175-0609"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoya Tsuruta","raw_affiliation_strings":["School of Engineering, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan"],"raw_orcid":"https://orcid.org/0009-0006-9175-0609","affiliations":[{"raw_affiliation_string":"School of Engineering, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139173508","display_name":"Keito Ohara","orcid":null},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keito Ohara","raw_affiliation_strings":["Graduate School of Regional Development and Creativity, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Regional Development and Creativity, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086599298","display_name":"Madoka Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Madoka Hasegawa","raw_affiliation_strings":["School of Engineering, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Utsunomiya University, Yoto 7-1-2, Utsunomiya, Tochigi, 3218585, Japan","institution_ids":["https://openalex.org/I207399273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5139184892"],"corresponding_institution_ids":["https://openalex.org/I207399273"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72552577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11641","display_name":"Insect and Pesticide Research","score":0.628000020980835,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T11641","display_name":"Insect and Pesticide Research","score":0.628000020980835,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T10702","display_name":"Insect and Arachnid Ecology and Behavior","score":0.11169999837875366,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11386","display_name":"Bee Products Chemical Analysis","score":0.03720000013709068,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/matching","display_name":"Matching (statistics)","score":0.5769000053405762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5386999845504761},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5386000275611877},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49630001187324524},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.47279998660087585},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47029998898506165},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46709999442100525},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.460999995470047}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6917999982833862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793000102043152},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5769000053405762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5386999845504761},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5386000275611877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5256999731063843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.28299999237060547},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-026-05189-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-05189-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-05189-w.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-026-05189-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-05189-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-05189-w.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6368240423","display_name":null,"funder_award_id":"18K11346 and 21K11931","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7803328897","display_name":"Development of image processing algorithm  to assist beekeeping","funder_award_id":"21K11931","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8133931494","display_name":"Image-based analysis of brood condition in honey bee combs","funder_award_id":"18K11346","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7165690911.pdf","grobid_xml":"https://content.openalex.org/works/W7165690911.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2222512263","https://openalex.org/W2520723410","https://openalex.org/W2734511492","https://openalex.org/W2981918755","https://openalex.org/W3005363112","https://openalex.org/W3012106938","https://openalex.org/W3013987429","https://openalex.org/W3093414036","https://openalex.org/W3120822260","https://openalex.org/W3196870724","https://openalex.org/W4313361576","https://openalex.org/W4381856322","https://openalex.org/W4390151148","https://openalex.org/W4401590399"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Inspection":[1],"of":[2,13,19,30,56,91,115,174,188,198,236],"combs":[3,57],"is":[4,32,228],"a":[5,24,33,256],"critical":[6],"task":[7],"in":[8,117],"beekeeping":[9,260],"where":[10],"the":[11,14,17,20,63,92,95,120,155,175,180,196,208,224,237],"condition":[12],"comb":[15,118,252,261],"and":[16,39,100,123,132,140,182,230],"size":[18],"bee":[21,79,189,248],"population":[22],"within":[23],"hive":[25],"are":[26],"assessed.":[27],"Manual":[28],"counting":[29,249],"bees":[31,200],"cumbersome":[34],"process":[35],"that":[36,52,162,223],"compromises":[37],"efficiency":[38],"accuracy.":[40],"To":[41],"address":[42],"this":[43],"issue,":[44],"we":[45],"propose":[46],"an":[47],"automated,":[48],"machine-learning-based":[49],"inspection":[50,262],"method":[51,61,157,245],"uses":[53],"single":[54,251],"images":[55],"with":[58,128],"bees.":[59],"This":[60,254],"eliminates":[62],"need":[64],"for":[65,78,160,259],"specialized":[66],"equipment,":[67],"such":[68],"as":[69],"optical":[70],"sensors,":[71],"video":[72],"cameras,":[73],"or":[74],"additional":[75],"entrance":[76],"modifications":[77],"traffic":[80],"monitoring.":[81],"The":[82,125,191,241],"research":[83],"question":[84],"was":[85],"to":[86,136,149,158,167,179,202,211],"determine":[87],"which":[88],"anatomical":[89],"region":[90],"honeybee":[93],"provides":[94],"most":[96],"accurate":[97],"detection":[98,104,142,204,219,239],"results,":[99],"whether":[101],"combining":[102],"multiple":[103],"approaches":[105],"could":[106],"improve":[107],"accuracy":[108,173],"overall.":[109],"We":[110,146],"annotated":[111],"three":[112],"distinct":[113],"parts":[114],"honeybees":[116],"images:":[119],"abdomen,":[121],"head,":[122],"whole-body.":[124],"SSD":[126],"models":[127],"VGG16":[129],"pretrained":[130],"backbones":[131],"YOLOv11":[133,212],"were":[134,144,163],"fine-tuned":[135],"detect":[137],"each":[138],"part,":[139],"their":[141],"accuracies":[143],"compared.":[145],"also":[147],"attempted":[148],"combine":[150],"predicted":[151],"bounding":[152],"boxes":[153],"using":[154],"Hungarian":[156],"compensate":[159],"those":[161],"not":[164],"detected":[165],"due":[166],"occlusions.":[168],"Experimental":[169],"results":[170],"showed":[171],"superior":[172],"abdomen":[176],"detector":[177],"compared":[178,201],"head":[181],"whole-body":[183,218],"detectors":[184],"across":[185],"different":[186],"densities":[187],"images.":[190,253],"integrated":[192],"approach":[193],"effectively":[194],"reduced":[195],"number":[197],"undetected":[199],"individual":[203],"methods.":[205],"Furthermore,":[206],"applying":[207],"matching":[209,226],"framework":[210],"yielded":[213],"consistent":[214],"recall":[215],"improvements":[216],"over":[217],"alone,":[220],"empirically":[221],"demonstrating":[222],"proposed":[225,242],"strategy":[227],"detector-agnostic":[229],"addresses":[231],"occlusion-induced":[232],"false":[233],"negatives":[234],"independently":[235],"underlying":[238],"architecture.":[240],"machine":[243],"learning-based":[244],"successfully":[246],"automates":[247],"from":[250],"offers":[255],"simple":[257],"solution":[258],"automation.":[263]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-06-24T00:00:00"}