{"id":"https://openalex.org/W4389765132","doi":"https://doi.org/10.3233/faia231066","title":"Crop Pest Image Classification Based on Multi-Scale Convolutional Neural Network","display_name":"Crop Pest Image Classification Based on Multi-Scale Convolutional Neural Network","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389765132","doi":"https://doi.org/10.3233/faia231066"},"language":"en","primary_location":{"id":"doi:10.3233/faia231066","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231066","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231066","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231066","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101860116","display_name":"Chi Ma","orcid":"https://orcid.org/0000-0003-1660-4258"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chi Ma","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076016364","display_name":"Huikai Li","orcid":null},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huikai Li","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Science and Technology Liaoning, 114051, Anshan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, 114051, Anshan, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707165","display_name":"Hui Hu","orcid":"https://orcid.org/0000-0002-3614-8678"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677451","display_name":"Jingyan Li","orcid":"https://orcid.org/0000-0002-2705-5015"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Li","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, 516007, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100724763","display_name":"Jie Ying Wu","orcid":"https://orcid.org/0000-0002-7306-8140"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Science and Technology Liaoning, 114051, Anshan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, 114051, Anshan, China","institution_ids":["https://openalex.org/I114117164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101860116"],"corresponding_institution_ids":["https://openalex.org/I93477617"],"apc_list":null,"apc_paid":null,"fwci":0.831,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79231184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9948999881744385,"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":0.9948999881744385,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6534919738769531},{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.5487426519393921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5331323146820068},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5273100733757019},{"id":"https://openalex.org/keywords/food-security","display_name":"Food security","score":0.510003924369812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5084077715873718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49112197756767273},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43935948610305786},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4250788986682892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41601935029029846},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3950307369232178},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35978472232818604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35397955775260925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3420955538749695},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17437046766281128},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1354430913925171},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1130450963973999},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.10639408230781555},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07163870334625244}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6534919738769531},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.5487426519393921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5331323146820068},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5273100733757019},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.510003924369812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5084077715873718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49112197756767273},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43935948610305786},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4250788986682892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41601935029029846},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3950307369232178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35978472232818604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35397955775260925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3420955538749695},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17437046766281128},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1354430913925171},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1130450963973999},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.10639408230781555},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07163870334625244},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia231066","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231066","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231066","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia231066","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231066","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231066","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389765132.pdf","grobid_xml":"https://content.openalex.org/works/W4389765132.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2361749505","https://openalex.org/W2549139847","https://openalex.org/W2750506686","https://openalex.org/W2902114955","https://openalex.org/W2955425717","https://openalex.org/W2963446712","https://openalex.org/W2966002724","https://openalex.org/W2966160658","https://openalex.org/W2998548240","https://openalex.org/W3034173830","https://openalex.org/W3044640865","https://openalex.org/W3092254810","https://openalex.org/W3130281122","https://openalex.org/W3138516171","https://openalex.org/W3160836992","https://openalex.org/W3184235979","https://openalex.org/W3186198132","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6810938606"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2373082819","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W2964843961"],"abstract_inverted_index":{"Crop":[0],"diseases":[1,30],"and":[2,10,18,29,35,83,93],"pests":[3,28],"are":[4],"major":[5],"threats":[6],"to":[7,25,59,65],"crop":[8,27,45],"yield":[9],"quality,":[11],"as":[12,14],"well":[13],"global":[15],"food":[16],"security":[17],"agricultural":[19],"livelihoods.":[20],"Therefore,":[21],"it":[22,88],"is":[23],"essential":[24],"identify":[26],"in":[31,99],"a":[32,44,56],"timely,":[33],"efficient":[34],"accurate":[36],"manner.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"MConvNeXt,":[43],"pest":[46,100],"classification":[47,97],"model":[48,64,78],"based":[49],"on":[50,79],"multi-scale":[51,57],"feature":[52,68],"fusion,":[53],"which":[54],"adds":[55],"module":[58],"the":[60,76,80,84,90],"original":[61],"ConvNeXt":[62],"network":[63,92],"better":[66],"capture":[67],"information":[69],"at":[70],"different":[71],"scales.":[72],"We":[73],"experimentally":[74],"analyzed":[75],"MConvNeXt":[77],"IP102":[81],"dataset,":[82],"results":[85],"show":[86],"that":[87],"outperforms":[89],"baseline":[91],"other":[94],"classical":[95],"image":[96],"models":[98],"classification.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
