{"id":"https://openalex.org/W4384338648","doi":"https://doi.org/10.3233/jifs-230606","title":"Data enhancement and multi-feature learning model for pest classification","display_name":"Data enhancement and multi-feature learning model for pest classification","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4384338648","doi":"https://doi.org/10.3233/jifs-230606"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230606","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230606","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5078283511","display_name":"Shulin Zhao","orcid":"https://orcid.org/0000-0003-4384-4898"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Zhao","raw_affiliation_strings":["Network Information Management Division, Qingdao Agricultural University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Network Information Management Division, Qingdao Agricultural University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101004340","display_name":"Xiaoting Sun","orcid":"https://orcid.org/0009-0006-0873-6129"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Sun","raw_affiliation_strings":["Network Information Management Division, Qingdao Agricultural University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Network Information Management Division, Qingdao Agricultural University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078189990","display_name":"Gai Lingyun","orcid":null},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingyun Gai","raw_affiliation_strings":["Smart Agriculture Research Institute, Qingdao Agricultural University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Smart Agriculture Research Institute, Qingdao Agricultural University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078189990"],"corresponding_institution_ids":["https://openalex.org/I146773158"],"apc_list":null,"apc_paid":null,"fwci":2.7766,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90398956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"45","issue":"4","first_page":"5409","last_page":"5421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T12894","display_name":"Date Palm Research Studies","score":0.9940000176429749,"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":0.9614999890327454,"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/computer-science","display_name":"Computer science","score":0.7309021353721619},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6656255722045898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931670069694519},{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.5618124008178711},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5361478328704834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5232797265052795},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4976194202899933},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4189956784248352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41778242588043213},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41451576352119446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3565138280391693},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.07946756482124329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309021353721619},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6656255722045898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931670069694519},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.5618124008178711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5361478328704834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5232797265052795},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4976194202899933},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4189956784248352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41778242588043213},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41451576352119446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3565138280391693},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07946756482124329},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230606","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230606","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W182557277","https://openalex.org/W1801865513","https://openalex.org/W2005459939","https://openalex.org/W2021005899","https://openalex.org/W2058610492","https://openalex.org/W2082627290","https://openalex.org/W2140047820","https://openalex.org/W2564288310","https://openalex.org/W2618530766","https://openalex.org/W2750506686","https://openalex.org/W2883992358","https://openalex.org/W2971019574","https://openalex.org/W3014860971","https://openalex.org/W3092254810","https://openalex.org/W3093480222","https://openalex.org/W3096307706","https://openalex.org/W3129425233","https://openalex.org/W4280517996"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W1987128138","https://openalex.org/W2748922771"],"abstract_inverted_index":{"Plant":[0],"diseases":[1],"and":[2,14,19,48,67,89,103,116],"pests":[3,23,44],"are":[4,36,121],"primary":[5],"factors":[6],"that":[7],"can":[8],"negatively":[9],"affect":[10],"crop":[11],"yield,":[12],"quality,":[13],"profitability.":[15],"Therefore,":[16],"the":[17,27,96,125,136],"accurate":[18],"automatic":[20],"identification":[21],"of":[22,33,92,114],"is":[24],"crucial":[25],"for":[26,81],"agricultural":[28],"industry.":[29],"However,":[30],"traditional":[31],"methods":[32],"pest":[34,60,138,146],"classification":[35,61,139],"limited,":[37],"as":[38,111],"they":[39],"face":[40],"difficulties":[41],"in":[42],"identifying":[43],"with":[45,50],"subtle":[46],"differences":[47],"dealing":[49],"sample":[51,105],"imbalances.":[52],"To":[53,94],"address":[54,104],"these":[55],"issues,":[56],"we":[57],"propose":[58],"a":[59],"model":[62,71,129],"based":[63],"on":[64,135,144],"data":[65,107],"enhancement":[66,108],"multi-feature":[68,82],"learning.":[69],"The":[70],"utilizes":[72],"Mobile":[73],"Inverted":[74],"Residual":[75],"Bottleneck":[76],"Convolutional":[77],"Block":[78],"(MBConv)":[79],"modules":[80],"learning,":[83],"enabling":[84],"it":[85],"to":[86,99,123],"learn":[87],"diverse":[88],"rich":[90],"features":[91],"pests.":[93],"improve":[95],"model\u2019s":[97],"ability":[98],"capture":[100],"fine-grained":[101],"details":[102],"imbalances,":[106],"techniques":[109],"such":[110],"random":[112],"mixing":[113,117],"pictures":[115],"after":[118],"region":[119],"clipping":[120],"used":[122],"augment":[124],"training":[126],"data.":[127],"Our":[128],"demonstrated":[130],"excellent":[131],"performance":[132],"not":[133],"only":[134],"large-scale":[137],"IP102":[140],"dataset":[141],"but":[142],"also":[143],"smaller":[145],"datasets.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}