{"id":"https://openalex.org/W4408689936","doi":"https://doi.org/10.1145/3716895.3716960","title":"Research on object detection algorithm of tea bud classification recognition based on YOLOv7","display_name":"Research on object detection algorithm of tea bud classification recognition based on YOLOv7","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4408689936","doi":"https://doi.org/10.1145/3716895.3716960"},"language":"en","primary_location":{"id":"doi:10.1145/3716895.3716960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Haoyuan Li","orcid":"https://orcid.org/0009-0005-6044-2905"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Li","raw_affiliation_strings":["School of Information Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-6044-2905","affiliations":[{"raw_affiliation_string":"School of Information Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113943282","display_name":"Yuqi Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Zeng","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0009-7209-322X","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103458819","display_name":"Xiameng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiameng Yu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0009-2424-3852","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Na Zhang","orcid":"https://orcid.org/0009-0007-0810-9333"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0007-0810-9333","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongkang Hu","orcid":"https://orcid.org/0009-0002-9943-3350"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkang Hu","raw_affiliation_strings":["School of Information Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0002-9943-3350","affiliations":[{"raw_affiliation_string":"School of Information Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103079281","display_name":"Xinxin Chen","orcid":"https://orcid.org/0009-0005-1421-8005"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Chen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-1421-8005","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.6532999873161316,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.6532999873161316,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6974215507507324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5218959450721741},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4995846748352051},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4748252332210541},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4435043931007385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42213425040245056},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4217420816421509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4110986590385437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974215507507324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5218959450721741},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4995846748352051},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4748252332210541},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4435043931007385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42213425040245056},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4217420816421509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4110986590385437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716895.3716960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935","https://openalex.org/W2109550041"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,12,41,45,53,59,70,74,87,91,100,115,119,124,131,139,142,151,168,176],"problems":[4],"of":[5,11,76,118,150,171,179],"low":[6],"accuracy":[7,149,170],"and":[8,27,48,84,105,123,146,160,182,198,203],"poor":[9],"robustness":[10],"algorithm":[13,154,185],"caused":[14],"by":[15,157],"tea":[16,30,77,133,172,180,195,199],"bud":[17,78,134,173],"classification":[18,174],"recognition":[19,80,169],"in":[20,29,44,69,81,175],"complex":[21,82,177],"environments":[22,83],"such":[23],"as":[24,114],"light":[25],"reflection":[26],"occlusion":[28],"gardens.":[31],"In":[32],"this":[33],"paper,":[34],"an":[35],"attention":[36],"module":[37],"is":[38,50,67,96,112,127],"added":[39],"to":[40,72,98],"convolutional":[42,93],"layer":[43],"YOLOv7":[46,153],"algorithm,":[47],"PConv":[49],"introduced":[51,68],"into":[52],"detection":[54,88],"head,":[55],"which":[56],"effectively":[57],"improves":[58,167],"spatial":[60],"feature":[61,79,101],"extraction":[62],"ability.":[63],"The":[64],"CARAFE":[65],"operator":[66],"upsampling":[71],"reduce":[73],"influence":[75],"further":[85],"accelerate":[86],"speed.":[89],"Secondly,":[90],"hole":[92],"SPPF":[94],"model":[95],"used":[97,113],"reconstruct":[99],"pyramid":[102,108],"network":[103],"structure":[104],"pool":[106],"space":[107],"pooling.":[109],"Finally,":[110],"EIOU":[111],"loss":[116],"function":[117],"target":[120],"prediction":[121],"frame,":[122],"ablation":[125],"experiment":[126],"carried":[128],"out":[129],"on":[130],"self-made":[132],"image":[135],"dataset.":[136],"Compared":[137],"with":[138],"original":[140],"model,":[141],"accuracy,":[143],"recall":[144],"rate,":[145],"mean":[147],"average":[148],"improved":[152,156],"are":[155],"1.14,":[158],"3.46,":[159],"3.68":[161],"percentage":[162],"points,":[163],"respectively.":[164],"It":[165,187],"greatly":[166],"environment":[178],"gardens":[181],"has":[183,188],"good":[184],"robustness.":[186],"certain":[189],"reference":[190],"value":[191],"for":[192],"subsequent":[193],"intelligent":[194],"harvesting":[196],"robots":[197],"garden":[200],"agricultural":[201],"research":[202],"application.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
