{"id":"https://openalex.org/W4394580151","doi":"https://doi.org/10.3390/sym16040451","title":"An Effective Image Classification Method for Plant Diseases with Improved Channel Attention Mechanism aECAnet Based on Deep Learning","display_name":"An Effective Image Classification Method for Plant Diseases with Improved Channel Attention Mechanism aECAnet Based on Deep Learning","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4394580151","doi":"https://doi.org/10.3390/sym16040451"},"language":"en","primary_location":{"id":"doi:10.3390/sym16040451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16040451","pdf_url":"https://www.mdpi.com/2073-8994/16/4/451/pdf?version=1712548480","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/4/451/pdf?version=1712548480","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100939156","display_name":"Wenqiang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Yang","raw_affiliation_strings":["Henan Institute of Science and Technology, Xinxiang 453003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Institute of Science and Technology, Xinxiang 453003, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039534028","display_name":"Ying Yuan","orcid":"https://orcid.org/0000-0002-5947-1881"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yuan","raw_affiliation_strings":["Henan Institute of Science and Technology, Xinxiang 453003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Institute of Science and Technology, Xinxiang 453003, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058298924","display_name":"Donghua Zhang","orcid":"https://orcid.org/0000-0003-2959-9638"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghua Zhang","raw_affiliation_strings":["Henan Institute of Science and Technology, Xinxiang 453003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Institute of Science and Technology, Xinxiang 453003, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004181120","display_name":"Liyuan Zheng","orcid":"https://orcid.org/0000-0002-8699-2914"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Zheng","raw_affiliation_strings":["Henan Institute of Science and Technology, Xinxiang 453003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Institute of Science and Technology, Xinxiang 453003, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071816812","display_name":"Fuquan Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuquan Nie","raw_affiliation_strings":["Henan Institute of Science and Technology, Xinxiang 453003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Institute of Science and Technology, Xinxiang 453003, China","institution_ids":["https://openalex.org/I4210163247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071816812"],"corresponding_institution_ids":["https://openalex.org/I4210163247"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":9.5762,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97932083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"451","last_page":"451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9976999759674072,"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":0.9976999759674072,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.9693999886512756,"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/T14042","display_name":"Technology and Security Systems","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6829492449760437},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6757513880729675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6684660911560059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463329195976257},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.5253433585166931},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4573575258255005},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.45429909229278564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43709245324134827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4361266493797302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41683536767959595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32413533329963684},{"id":"https://openalex.org/keywords/biotechnology","display_name":"Biotechnology","score":0.20047816634178162},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12660863995552063},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.07514545321464539}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6829492449760437},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6757513880729675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6684660911560059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463329195976257},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.5253433585166931},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4573575258255005},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.45429909229278564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43709245324134827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4361266493797302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41683536767959595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32413533329963684},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.20047816634178162},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12660863995552063},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.07514545321464539},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym16040451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16040451","pdf_url":"https://www.mdpi.com/2073-8994/16/4/451/pdf?version=1712548480","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b6c8184caaf54926882c0e565df2ab0a","is_oa":false,"landing_page_url":"https://doaj.org/article/b6c8184caaf54926882c0e565df2ab0a","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 4, p 451 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16040451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16040451","pdf_url":"https://www.mdpi.com/2073-8994/16/4/451/pdf?version=1712548480","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394580151.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2616247523","https://openalex.org/W2766191760","https://openalex.org/W2883780447","https://openalex.org/W2922509574","https://openalex.org/W2942170965","https://openalex.org/W2952921651","https://openalex.org/W2953151638","https://openalex.org/W2963446712","https://openalex.org/W2989584745","https://openalex.org/W3014893687","https://openalex.org/W3016427339","https://openalex.org/W3022952790","https://openalex.org/W3031696893","https://openalex.org/W3035565904","https://openalex.org/W3047646350","https://openalex.org/W3085597046","https://openalex.org/W3089550499","https://openalex.org/W3095722810","https://openalex.org/W3102564565","https://openalex.org/W3108492058","https://openalex.org/W3135057287","https://openalex.org/W3138172903","https://openalex.org/W3140854437","https://openalex.org/W3157302753","https://openalex.org/W3158419202","https://openalex.org/W3165142978","https://openalex.org/W3175954599","https://openalex.org/W3178340391","https://openalex.org/W3197092826","https://openalex.org/W3198228908","https://openalex.org/W3199188637","https://openalex.org/W3200795566","https://openalex.org/W3204257304","https://openalex.org/W3208184630","https://openalex.org/W3211538292","https://openalex.org/W4205208936","https://openalex.org/W4206618551","https://openalex.org/W4212936479","https://openalex.org/W4214666412","https://openalex.org/W4225937784","https://openalex.org/W4283119377","https://openalex.org/W4296107384","https://openalex.org/W4310379603","https://openalex.org/W4313304547","https://openalex.org/W6810660096"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W4375867731","https://openalex.org/W2390968135","https://openalex.org/W4391621807","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4290997076","https://openalex.org/W2391494895"],"abstract_inverted_index":{"Since":[0],"plant":[1,26,40,55,67,74,113,168],"diseases":[2,65,165],"occurring":[3],"during":[4],"the":[5,14,21,45,64,88,91,105,118,126,135,154],"growth":[6],"process":[7],"are":[8,36],"a":[9],"significant":[10],"factor":[11],"leading":[12],"to":[13,60,163],"decline":[15],"in":[16,58,87,122,139,158],"both":[17],"yield":[18],"and":[19,23,33,42,86,90,125,147],"quality,":[20],"classification":[22,115],"detection":[24],"of":[25,94,166],"leaf":[27,56],"diseases,":[28,57],"followed":[29],"by":[30],"timely":[31],"prevention":[32],"control":[34],"measures,":[35],"crucial":[37],"for":[38],"safeguarding":[39],"productivity":[41],"quality.":[43],"As":[44],"traditional":[46],"convolutional":[47],"neural":[48],"network":[49],"structure":[50],"cannot":[51],"effectively":[52],"recognize":[53,164],"similar":[54],"order":[59],"more":[61],"accurately":[62],"identify":[63],"on":[66,84,117],"leaves,":[68],"this":[69,95,100,123,140,159],"paper":[70,124,141,160],"proposes":[71],"an":[72],"effective":[73],"disease":[75,114],"image":[76],"recognition":[77],"method":[78,81],"aECA-ResNet34.":[79],"This":[80],"is":[82,109,161],"based":[83],"ResNet34,":[85],"first":[89],"last":[92],"layers":[93],"network,":[96],"respectively,":[97],"we":[98],"add":[99],"paper\u2019s":[101],"improved":[102],"aECAnet":[103],"with":[104,111],"symmetric":[106],"structure.":[107],"aECA-ResNet34":[108,136,155],"compared":[110],"different":[112],"models":[116],"peanut":[119],"dataset":[120],"constructed":[121],"open-source":[127],"PlantVillage":[128],"dataset.":[129],"The":[130,150],"experimental":[131],"results":[132,151],"show":[133,152],"that":[134,153],"model":[137,156],"proposed":[138,157],"has":[142],"higher":[143],"accuracy,":[144],"better":[145,148],"performance,":[146],"robustness.":[149],"able":[162],"multiple":[167],"leaves":[169],"very":[170],"accurately.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}