{"id":"https://openalex.org/W4389374169","doi":"https://doi.org/10.1145/3628797.3629016","title":"Deep Learning Hierarchical Methods for Insect Pest Recognition on Plants","display_name":"Deep Learning Hierarchical Methods for Insect Pest Recognition on Plants","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389374169","doi":"https://doi.org/10.1145/3628797.3629016"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3629016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5058208255","display_name":"Tuong-Nghiem Diep","orcid":"https://orcid.org/0000-0001-7406-1250"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuong-Nghiem Diep","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093428985","display_name":"Thien-Phuc Tran","orcid":"https://orcid.org/0009-0008-0800-6884"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thien-Phuc Tran","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093428986","display_name":"Vinh-Phat Ho-Ngoc","orcid":"https://orcid.org/0009-0009-2858-4208"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Vinh-Phat Ho-Ngoc","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085317256","display_name":"Tuan-Anh Yang","orcid":"https://orcid.org/0009-0005-3140-8046"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuan-Anh Yang","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059439681","display_name":"Trong-Le Do","orcid":"https://orcid.org/0000-0002-2906-0360"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"funder","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trong-Le Do","raw_affiliation_strings":["Software Engineering Lab, University of Science, VNU-HCM, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Software Engineering Lab, University of Science, VNU-HCM, Viet Nam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":"479","last_page":"484"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991,"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":0.9991,"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":0.9971,"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/T10702","display_name":"Insect and Arachnid Ecology and Behavior","score":0.9786,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7756033},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6683706},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.53570455},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.47984168}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7756033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7322546},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6683706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6618396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.58261114},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.53570455},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.47984168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45095554},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.42460185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40338805},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22630858},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3629016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W2108598243","https://openalex.org/W2161969291","https://openalex.org/W2565639579","https://openalex.org/W2808495379","https://openalex.org/W2963495494","https://openalex.org/W2966002724","https://openalex.org/W2971019574","https://openalex.org/W3092254810","https://openalex.org/W3126558081"],"related_works":["https://openalex.org/W4307654087","https://openalex.org/W4298017035","https://openalex.org/W4226354336","https://openalex.org/W3128220493","https://openalex.org/W3110700750","https://openalex.org/W2998675825","https://openalex.org/W2951100320","https://openalex.org/W2897443685","https://openalex.org/W2792147139","https://openalex.org/W2736804899"],"abstract_inverted_index":{"Insect":[0],"pests":[1],"have":[2,26],"always":[3],"been":[4],"a":[5,75,101,135],"global":[6],"agricultural":[7],"problem":[8],"because":[9,152],"the":[10,56,82,94,105,124,130,145,154,177,181,185,190,202,207,224,230,245],"severity":[11],"and":[12,53,88,162,238],"extent":[13],"of":[14,58,96,108,153,204,227,248],"their":[15],"occurrence":[16],"threaten":[17],"crop":[18],"yield.":[19],"Recognizing":[20],"them":[21,165],"early":[22],"can":[23,33],"help":[24,34],"farmers":[25],"efficient":[27],"measures":[28],"to":[29,65,112,133,149,200],"handle":[30],"them,":[31],"which":[32,50,215],"mitigate":[35],"negative":[36],"impacts":[37],"from":[38],"insect":[39,42],"pests.":[40],"However,":[41],"pest":[43],"recognition":[44],"still":[45],"relies":[46],"heavily":[47],"on":[48,81,206,229,250],"experts,":[49],"is":[51],"expensive":[52],"time-consuming.":[54],"With":[55],"power":[57],"Deep":[59],"Learning,":[60],"we":[61,73,116,127,141,163,169,243],"propose":[62],"two":[63],"methods":[64,183,205],"solve":[66],"this":[67,70,121,139,251],"task":[68],"in":[69,194],"paper.":[71],"First,":[72],"proposed":[74,213],"method":[76,191],"that":[77,144,187],"uses":[78,216],"models":[79,98,111,237],"pre-trained":[80,110],"ImageNet":[83],"dataset,":[84],"including":[85],"ResNet-50,":[86],"EfficientNet-B4,":[87],"VisionTransformer-B16,":[89],"respectively.":[90],"We":[91,197],"also":[92],"change":[93],"structure":[95],"these":[97,109,195],"by":[99],"adding":[100],"Dropout":[102],"layer":[103,107],"before":[104],"output":[106],"avoid":[113],"overfitting.":[114],"Second,":[115],"apply":[117],"hierarchical":[118,221,241],"learning":[119],"for":[120,173],"task.":[122],"In":[123],"latter":[125],"approach,":[126],"first":[128],"use":[129],"baseline":[131,146,182],"model":[132,147,172],"create":[134],"confusion":[136],"matrix.":[137],"Through":[138],"matrix,":[140],"cluster":[142],"classes":[143,158],"misses":[148],"each":[150,171,174],"other":[151],"similar":[155],"appearance":[156],"across":[157],"into":[159],"bigger":[160],"classes,":[161],"consider":[164],"as":[166,180],"sub-datasets.":[167],"Then,":[168],"build":[170],"sub-dataset":[175],"using":[176],"identical":[178],"backbones":[179],"with":[184,220,240],"hope":[186],"it":[188],"helps":[189],"classify":[192],"better":[193],"classes.":[196],"do":[198],"experiments":[199],"evaluate":[201],"performance":[203],"IP102":[208,231],"dataset.":[209,232,252],"From":[210],"experiments,":[211],"our":[212],"method,":[214],"VisionTransformer-B16":[217],"backbone":[218],"combined":[219],"learning,":[222,242],"gets":[223],"best":[225,246],"accuracy":[226,247],"74.50%":[228],"When":[233],"ensemble":[234],"3":[235],"above":[236],"combine":[239],"get":[244],"76.24%":[249]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389374169","counts_by_year":[],"updated_date":"2025-02-22T07:01:10.286297","created_date":"2023-12-07"}