{"id":"https://openalex.org/W4413213126","doi":"https://doi.org/10.1109/access.2025.3597539","title":"Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model","display_name":"Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413213126","doi":"https://doi.org/10.1109/access.2025.3597539"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3597539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597539","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.2025.3597539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Waqar Khalid","orcid":"https://orcid.org/0000-0002-2232-946X"},"institutions":[{"id":"https://openalex.org/I59225215","display_name":"Bahria University","ror":"https://ror.org/02v8d7770","country_code":"PK","type":"education","lineage":["https://openalex.org/I59225215"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Waqar Khalid","raw_affiliation_strings":["Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-2232-946X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I59225215"]},{"raw_affiliation_string":"Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan","institution_ids":["https://openalex.org/I59225215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005405031","display_name":"Yazeed Alkhrijah","orcid":"https://orcid.org/0000-0001-7352-003X"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Yazeed Alkhrijah","raw_affiliation_strings":["Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7352-003X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056889379","display_name":"Syed Muhammad Usman","orcid":"https://orcid.org/0000-0002-0504-3558"},"institutions":[{"id":"https://openalex.org/I59225215","display_name":"Bahria University","ror":"https://ror.org/02v8d7770","country_code":"PK","type":"education","lineage":["https://openalex.org/I59225215"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Usman","raw_affiliation_strings":["Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I59225215"]},{"raw_affiliation_string":"Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan","institution_ids":["https://openalex.org/I59225215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015169296","display_name":"Shehzad Khalid","orcid":"https://orcid.org/0000-0003-0899-7354"},"institutions":[{"id":"https://openalex.org/I59225215","display_name":"Bahria University","ror":"https://ror.org/02v8d7770","country_code":"PK","type":"education","lineage":["https://openalex.org/I59225215"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shehzad Khalid","raw_affiliation_strings":["Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-0899-7354","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I59225215"]},{"raw_affiliation_string":"Department of Computer Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Pakistan","institution_ids":["https://openalex.org/I59225215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59225215"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.9278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91117092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"141781","last_page":"141797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9842000007629395,"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":0.9842000007629395,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9115999937057495,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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/identification","display_name":"Identification (biology)","score":0.6869221925735474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028214693069458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4508032202720642},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3690716624259949},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07222405076026917}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6869221925735474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028214693069458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4508032202720642},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3690716624259949},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07222405076026917},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3597539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597539","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:e3693229b0dc49ec932d168764843d5c","is_oa":true,"landing_page_url":"https://doaj.org/article/e3693229b0dc49ec932d168764843d5c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 141781-141797 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3597539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597539","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":[{"id":"https://metadata.un.org/sdg/2","score":0.7400000095367432,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W3094502228","https://openalex.org/W3191441210","https://openalex.org/W4206337032","https://openalex.org/W4245957847","https://openalex.org/W4307871206","https://openalex.org/W4309919941","https://openalex.org/W4323644159","https://openalex.org/W4376129079","https://openalex.org/W4385756503","https://openalex.org/W4386423403","https://openalex.org/W4387677271","https://openalex.org/W4389732715","https://openalex.org/W4390551018","https://openalex.org/W4391690562","https://openalex.org/W4393450939","https://openalex.org/W4398209564","https://openalex.org/W4399307576","https://openalex.org/W4400158493","https://openalex.org/W4401071517","https://openalex.org/W4402316692","https://openalex.org/W4402536348","https://openalex.org/W4404521578","https://openalex.org/W4405898844","https://openalex.org/W4405908709","https://openalex.org/W4405975165","https://openalex.org/W4406739409","https://openalex.org/W4408399944","https://openalex.org/W4409475142","https://openalex.org/W6637373629","https://openalex.org/W6779823529","https://openalex.org/W6875759535"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"identification":[1],"of":[2,58,143,185],"wheat":[3,52,118],"diseases":[4],"is":[5,62,149,193,244],"an":[6,183],"essential":[7],"component":[8],"for":[9,50,72,117,175],"increasing":[10],"crop":[11],"yields":[12],"and":[13,22,45,68,75,112,145,160,221,230,254],"guaranteeing":[14],"global":[15],"food":[16],"security.":[17],"However,":[18],"subjective":[19],"opinions,":[20],"errors,":[21],"laborious":[23],"procedures":[24],"frequently":[25],"limit":[26],"traditional":[27],"approaches,":[28],"which":[29,192],"are":[30],"based":[31],"on":[32,187,233],"expert":[33],"knowledge.":[34],"To":[35],"address":[36],"these":[37],"challenges,":[38],"we":[39],"propose":[40],"a":[41,124,141,155,245],"Swin-Streamlined":[42],"High":[43],"Accuracy":[44],"Reduced":[46],"Parameters":[47],"(Swin-SHARP)":[48],"Transformer":[49,115,223],"classifying":[51],"diseases.":[53],"The":[54,78,121,133,204],"feature":[55,163],"extraction":[56],"capability":[57],"the":[59,70,82,105,113,138,188,197,234,241],"Swin-SHARP":[60,95,106],"model":[61,80,99,122,181,206,243],"enhanced":[63],"by":[64,84,151,169,200,224],"optimizing":[65],"hierarchical":[66],"representations":[67],"eliminating":[69],"requirement":[71],"intricate":[73],"layers":[74],"attention":[76],"heads.":[77],"proposed":[79,180,205],"reduces":[81,167],"parameters":[83],"82.5%,":[85],"from":[86],"48.9":[87],"to":[88,158,248],"8.5":[89],"million,":[90],"without":[91],"compromising":[92],"accuracy.":[93,203],"A":[94],"Vision":[96,114],"Hybrid":[97],"(SVH)":[98],"integrates":[100],"two":[101],"powerful":[102],"transformer":[103,107],"architectures,":[104],"that":[108,129,153,240],"uses":[109],"shifted":[110],"windows,":[111],"(ViT)":[116],"disease":[119,177,253],"classification.":[120],"features":[123],"customized":[125],"convolutional":[126,135],"auto-encoder":[127],"decoder":[128],"inputs":[130],"3-dimensional":[131],"features.":[132],"dual":[134],"layer":[136],"in":[137,258,262],"encoder":[139],"with":[140],"stride":[142],"2":[144],"kernel":[146],"size":[147],"3":[148],"activated":[150],"ReLU,":[152],"maps":[154],"3-channel":[156],"input":[157],"16":[159],"then":[161],"32":[162],"maps.":[164],"This":[165],"architecture":[166],"dimensionality":[168],"33%":[170],"while":[171],"retaining":[172],"crucial":[173],"information":[174],"precise":[176],"detection.":[178],"Our":[179],"achieved":[182],"accuracy":[184],"98.2%":[186],"Wheat":[189],"Diseases":[190],"dataset,":[191],"also":[194],"cross-validated":[195],"using":[196],"YELLOW-RUST-19":[198,235],"benchmark":[199],"achieving":[201],"97.2%":[202],"outperformed":[207],"state-of-the-art":[208],"existing":[209],"models,":[210],"including":[211],"CNN-CGLCM-HSV-SVM,":[212],"GhostNet":[213],"V2,":[214],"ResNet":[215],"50,":[216],"MobileNet":[217],"V2\u2013VGG-16,":[218],"CNN-CGL":[219],"CM-HSV-SVM,":[220],"Swin":[222],"4.8%,":[225,229],"1.76%,":[226],"1.2%,":[227],"13.6%,":[228],"1.4%":[231],"respectively,":[232],"dataset.":[236],"These":[237],"findings":[238],"concluded":[239],"SVH":[242],"strong":[246],"approach":[247],"accurately":[249],"detect":[250],"yellow":[251],"rust":[252],"can":[255],"be":[256],"used":[257],"real":[259],"time,":[260],"particularly":[261],"resource-constrained":[263],"agricultural":[264],"settings.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
