{"id":"https://openalex.org/W4313854637","doi":"https://doi.org/10.1109/icsai57119.2022.10005522","title":"Automated Chicken Counting Using YOLO-v5x Algorithm","display_name":"Automated Chicken Counting Using YOLO-v5x Algorithm","publication_year":2022,"publication_date":"2022-12-10","ids":{"openalex":"https://openalex.org/W4313854637","doi":"https://doi.org/10.1109/icsai57119.2022.10005522"},"language":"en","primary_location":{"id":"doi:10.1109/icsai57119.2022.10005522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai57119.2022.10005522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084876996","display_name":"Xiangyuan Zhu","orcid":"https://orcid.org/0000-0001-8927-7628"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyuan Zhu","raw_affiliation_strings":["Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061"],"affiliations":[{"raw_affiliation_string":"Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111944900","display_name":"Chuhui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuhui Wu","raw_affiliation_strings":["Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061"],"affiliations":[{"raw_affiliation_string":"Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022684670","display_name":"Yefeng Yang","orcid":"https://orcid.org/0000-0002-8610-4016"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Yang","raw_affiliation_strings":["Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061"],"affiliations":[{"raw_affiliation_string":"Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084567573","display_name":"Yuelin Yao","orcid":"https://orcid.org/0000-0001-9868-2801"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelin Yao","raw_affiliation_strings":["Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061"],"affiliations":[{"raw_affiliation_string":"Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061174727","display_name":"Yanshan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshan Wu","raw_affiliation_strings":["Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061"],"affiliations":[{"raw_affiliation_string":"Zhaoqing University,School of Computer Science and Software,Zhaoqing,China,516061","institution_ids":["https://openalex.org/I183816158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084876996"],"corresponding_institution_ids":["https://openalex.org/I183816158"],"apc_list":null,"apc_paid":null,"fwci":1.3336,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83366719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9722999930381775,"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/intersection","display_name":"Intersection (aeronautics)","score":0.7172490358352661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5953698754310608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5710948705673218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5284411907196045},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5260082483291626},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5247480869293213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.492936372756958},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48294156789779663},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4649241268634796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4213676452636719},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41357824206352234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801906704902649},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08343076705932617}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7172490358352661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953698754310608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5710948705673218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5284411907196045},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5260082483291626},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5247480869293213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.492936372756958},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48294156789779663},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4649241268634796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4213676452636719},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41357824206352234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801906704902649},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08343076705932617},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai57119.2022.10005522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai57119.2022.10005522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1908321067","https://openalex.org/W2161969291","https://openalex.org/W2463631526","https://openalex.org/W2807025966","https://openalex.org/W2899128648","https://openalex.org/W2913901817","https://openalex.org/W2946211694","https://openalex.org/W2950288321","https://openalex.org/W3118288473","https://openalex.org/W3194775834","https://openalex.org/W4200108852","https://openalex.org/W4206433107"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2090985514","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985"],"abstract_inverted_index":{"Chicken":[0],"counting":[1,21,30],"is":[2,41,49],"an":[3,27],"essential":[4],"task":[5],"in":[6,118,141],"large-scale":[7],"farming":[8],"management.":[9],"Due":[10],"to":[11,86],"dense":[12],"distribution,":[13],"uneven":[14,143],"illumination,":[15],"and":[16,55,79,115,127],"partial":[17],"occlusion,":[18],"accurate":[19],"chicken":[20,29],"remains":[22],"challenging.":[23],"In":[24],"this":[25],"paper,":[26],"automated":[28],"algorithm":[31],"based":[32],"on":[33,103],"You":[34],"Only":[35],"Look":[36],"Once":[37],"(YOLO)":[38],"v5x":[39],"model":[40],"implemented.":[42],"The":[43],"intersection":[44],"over":[45],"union":[46],"(IoU)":[47],"threshold":[48],"set":[50],"by":[51],"analyzing":[52],"the":[53,58,64,88,93,123],"width":[54],"height":[56],"of":[57,63,95,125,130],"ground":[59],"truth":[60],"(GT)":[61],"boxes":[62],"training":[65,89],"images.":[66],"Three":[67],"objective-oriented":[68],"data":[69],"enhancements,":[70],"i.e.,":[71],"Mosaic,":[72],"horizontal":[73],"flipping":[74],"combined":[75],"with":[76,112],"lightness":[77],"changing,":[78],"test":[80],"time":[81],"augmentation":[82],"(TTA),":[83],"are":[84,101,138],"applied":[85],"diversify":[87],"data.":[90],"To":[91],"validate":[92],"efficiency":[94],"our":[96],"proposed":[97],"method,":[98],"extensive":[99],"experiments":[100],"conducted":[102],"a":[104,109],"well-annotated":[105],"dataset":[106],"collected":[107],"from":[108],"real":[110],"farm":[111],"1,100":[113],"images":[114],"170,906":[116],"chickens":[117,137],"total.":[119],"Our":[120],"implementation":[121],"achieves":[122],"average_accuracy":[124],"95.87%":[126],"inference":[128],"speed":[129],"23":[131],"ms":[132],"per":[133],"image,":[134],"even":[135],"if":[136],"partially":[139],"occluded":[140],"extremely":[142],"illumination":[144],"perspectives.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}