{"id":"https://openalex.org/W4391306413","doi":"https://doi.org/10.1109/smc53992.2023.10394148","title":"Fast Crop Pest Detection Using Lightweight Feature Extraction and Knowledge Distillation","display_name":"Fast Crop Pest Detection Using Lightweight Feature Extraction and Knowledge Distillation","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391306413","doi":"https://doi.org/10.1109/smc53992.2023.10394148"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394148","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"https://openalex.org/A5100758949","display_name":"Ze Yang","orcid":"https://orcid.org/0000-0002-6299-7649"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Yang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071029266","display_name":"Xianliang Jiang","orcid":"https://orcid.org/0000-0002-1211-2742"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianliang Jiang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","Zhejiang Key Laboratory of Mobile Network Application Technology, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Mobile Network Application Technology, Ningbo, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033953967","display_name":"Guang Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Jin","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Zhejiang Key Laboratory of Mobile Network Application Technology, Ningbo, China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Mobile Network Application Technology, Ningbo, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722115","display_name":"Junkai Huang","orcid":"https://orcid.org/0000-0003-4625-7111"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Huang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003696660","display_name":"Jie Bai","orcid":"https://orcid.org/0000-0003-2426-2358"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bai","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113106725","display_name":"Dingxin Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingxin Yu","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"2277","last_page":"2282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9930999875068665,"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/T10494","display_name":"Plant Virus Research Studies","score":0.9790999889373779,"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":0.6828460097312927},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6684919595718384},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.654796838760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563336610794067},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5277838110923767},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5081102848052979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46919533610343933},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4355666935443878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40369242429733276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32940101623535156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11396524310112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828460097312927},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6684919595718384},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.654796838760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563336610794067},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5277838110923767},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5081102848052979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46919533610343933},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4355666935443878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40369242429733276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32940101623535156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11396524310112},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394148","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2407386500","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2963125010","https://openalex.org/W2963857746","https://openalex.org/W3035414587","https://openalex.org/W3044157086","https://openalex.org/W3214819579","https://openalex.org/W4214947750","https://openalex.org/W4297775537","https://openalex.org/W4309780419","https://openalex.org/W4311017339","https://openalex.org/W4386047745","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W2351938575","https://openalex.org/W3088721469","https://openalex.org/W2388359778"],"abstract_inverted_index":{"Pest":[0],"detection":[1,15,54,65,111,145],"is":[2,17],"critical":[3],"for":[4,19,41,62,181],"achieving":[5],"effective":[6,99],"pest":[7,14,64,131,184],"control.":[8],"However,":[9],"the":[10,89,109,144,160],"current":[11],"deep":[12],"learning-based":[13],"algorithm":[16,61],"unsuitable":[18],"deployment":[20],"on":[21,67],"resource-limited":[22],"edge":[23],"devices":[24],"due":[25],"to":[26,50,107,117,159],"its":[27,178],"extensive":[28],"computation":[29,91,151],"and":[30,71,79,92,133,150,155,171],"long":[31],"inference":[32,96],"time.":[33],"Although":[34],"lightweight":[35,68,82],"models":[36],"have":[37],"been":[38],"widely":[39],"used":[40],"practical":[42,179],"detection,":[43],"their":[44],"insufficient":[45],"feature":[46,69,83,100],"extraction":[47,70,84],"capability":[48],"leads":[49],"a":[51,59,81,124],"decline":[52],"in":[53,119],"accuracy.":[55],"This":[56],"paper":[57],"proposes":[58],"fast":[60,182],"crop":[63,130,183],"based":[66],"knowledge":[72,105],"distillation.":[73],"Firstly,":[74],"we":[75,103,122],"introduce":[76],"partial":[77],"convolution":[78],"propose":[80],"module,":[85],"C3Faster,":[86],"which":[87],"reduces":[88,143],"model's":[90,110],"speeds":[93],"up":[94],"model":[95],"while":[97],"ensuring":[98],"extraction.":[101],"Secondly,":[102],"use":[104],"distillation":[106],"improve":[108],"accuracy":[112],"by":[113,152],"using":[114],"teacher":[115],"networks":[116],"assist":[118],"training.":[120],"Finally,":[121],"created":[123],"dataset,":[125],"CropPest6,":[126],"consisting":[127],"of":[128,148],"six":[129],"categories":[132],"conducted":[134],"experiments.":[135],"The":[136],"experimental":[137],"results":[138],"demonstrate":[139],"that":[140],"our":[141,164],"method":[142,165],"time,":[146],"number":[147],"parameters,":[149],"17%,":[153],"38%,":[154],"44%,":[156],"respectively,":[157],"compared":[158],"baseline":[161],"model.":[162],"Furthermore,":[163],"achieves":[166],"93.9%":[167],"Precision,":[168],"93.6%":[169],"Recall,":[170],"97.5%":[172],"mean":[173],"Average":[174],"Precision":[175],"(mAP),":[176],"demonstrating":[177],"suitability":[180],"detection.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}