{"id":"https://openalex.org/W4399658994","doi":"https://doi.org/10.1145/3641584.3641626","title":"Plant Seedling Recognition Using Swin-Transformer Network Architecture","display_name":"Plant Seedling Recognition Using Swin-Transformer Network Architecture","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658994","doi":"https://doi.org/10.1145/3641584.3641626"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641626","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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/A5033049363","display_name":"Xuebin Xu","orcid":"https://orcid.org/0000-0002-5903-8818"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xuebin","raw_affiliation_strings":["School of Computing, Xi 'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-5903-8818","affiliations":[{"raw_affiliation_string":"School of Computing, Xi 'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101966426","display_name":"Xiang-dong Gao","orcid":"https://orcid.org/0009-0000-9431-8500"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Xiangdong","raw_affiliation_strings":["Xi 'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-9431-8500","affiliations":[{"raw_affiliation_string":"Xi 'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099124792","display_name":"Wang Ruizhe","orcid":"https://orcid.org/0009-0004-4169-6785"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Ruizhe","raw_affiliation_strings":["Xi 'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0004-4169-6785","affiliations":[{"raw_affiliation_string":"Xi 'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09528088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.8648999929428101,"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":0.8648999929428101,"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/architecture","display_name":"Architecture","score":0.6472738981246948},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6192027926445007},{"id":"https://openalex.org/keywords/seedling","display_name":"Seedling","score":0.5967062711715698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.551947832107544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22618183493614197},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.21692445874214172},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.15710309147834778},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10023075342178345},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09201732277870178},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08477121591567993},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06157195568084717}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6472738981246948},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6192027926445007},{"id":"https://openalex.org/C2776096895","wikidata":"https://www.wikidata.org/wiki/Q1385709","display_name":"Seedling","level":2,"score":0.5967062711715698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.551947832107544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22618183493614197},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21692445874214172},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.15710309147834778},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10023075342178345},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09201732277870178},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08477121591567993},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06157195568084717}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641626","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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":3,"referenced_works":["https://openalex.org/W4200320221","https://openalex.org/W6748314208","https://openalex.org/W6792155083"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2388922981","https://openalex.org/W2376588297","https://openalex.org/W2043993394","https://openalex.org/W2379020407","https://openalex.org/W2366809278","https://openalex.org/W2111376716","https://openalex.org/W2257276718","https://openalex.org/W2378658865"],"abstract_inverted_index":{"The":[0,27,65,88],"study":[1,31,89],"proposes":[2],"a":[3,16,97],"novel":[4],"method":[5,104,132],"for":[6,84],"plant":[7,42,116],"seedling":[8,43,86,117],"image":[9],"recognition":[10,47,118],"using":[11,96,133],"the":[12,23,30,35,69,120,127,130],"Swin-Transformer":[13,70],"network":[14,19,71],"architecture,":[15],"convolutional":[17],"neural":[18],"architecture":[20],"developed":[21],"by":[22],"Microsoft":[24],"Research":[25],"Institute.":[26],"aim":[28],"of":[29,37,41,52],"is":[32],"to":[33,48,77,140],"overcome":[34],"limitations":[36],"traditional":[38],"manual":[39],"methods":[40],"classification":[44,112],"through":[45],"machine-based":[46],"achieve":[49,78],"precise":[50],"identification":[51],"crops":[53],"during":[54],"field":[55],"nursery,":[56],"fertilizer":[57],"management,":[58],"and":[59,63,72,81,101],"enhance":[60],"crop":[61],"yield":[62],"quality.":[64],"proposed":[66,131],"approach":[67],"leverages":[68],"various":[73],"data":[74],"processing":[75],"techniques":[76],"higher":[79],"accuracy":[80,113],"generalization":[82],"ability":[83],"fine-grained":[85],"classification.":[87],"includes":[90],"extensive":[91],"experiments":[92],"on":[93],"relevant":[94],"datasets":[95],"high-performance":[98],"GPU":[99],"environment":[100],"compares":[102],"its":[103],"with":[105],"other":[106],"state-of-the-art":[107],"approaches,":[108],"which":[109],"demonstrate":[110],"better":[111],"results.":[114],"Besides":[115],"research,":[119],"paper":[121,128],"also":[122],"has":[123],"practical":[124],"applications.":[125],"Finally,":[126],"evaluates":[129],"commonly":[134],"used":[135],"machine":[136],"learning":[137],"evaluation":[138],"metrics":[139],"assess":[141],"model":[142],"performance.":[143]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}