{"id":"https://openalex.org/W4381890820","doi":"https://doi.org/10.3233/web-230062","title":"Internet of Things assisted Unmanned Aerial Vehicle for Pest Detection with Optimized Deep Learning Model","display_name":"Internet of Things assisted Unmanned Aerial Vehicle for Pest Detection with Optimized Deep Learning Model","publication_year":2023,"publication_date":"2023-06-24","ids":{"openalex":"https://openalex.org/W4381890820","doi":"https://doi.org/10.3233/web-230062"},"language":"en","primary_location":{"id":"doi:10.3233/web-230062","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-230062","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web230062?id=web-intelligence%2Fweb230062","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"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":"Web Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/web-intelligence/web230062?id=web-intelligence%2Fweb230062","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056378000","display_name":"G. Vijayalakshmi","orcid":null},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vijayalakshmi G","raw_affiliation_strings":["Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to-be University), Visakhapatnam-530045, A.P, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to-be University), Visakhapatnam-530045, A.P, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110207635","display_name":"Y. Radhika","orcid":null},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Radhika Y","raw_affiliation_strings":["Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to-be University), Visakhapatnam-530045, A.P, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to-be University), Visakhapatnam-530045, A.P, India","institution_ids":["https://openalex.org/I885392262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056378000"],"corresponding_institution_ids":["https://openalex.org/I885392262"],"apc_list":null,"apc_paid":null,"fwci":0.747,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81207797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"22","issue":"2","first_page":"269","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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":0.9993000030517578,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7140870690345764},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.695956289768219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795474290847778},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5138295292854309},{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.49466630816459656},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49466392397880554},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4771653711795807},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4596085548400879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43271011114120483},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4277697205543518},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.412598580121994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4064082205295563},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09632733464241028},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08806559443473816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140870690345764},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.695956289768219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795474290847778},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5138295292854309},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.49466630816459656},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49466392397880554},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4771653711795807},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4596085548400879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43271011114120483},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4277697205543518},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.412598580121994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4064082205295563},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09632733464241028},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08806559443473816},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-230062","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-230062","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web230062?id=web-intelligence%2Fweb230062","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"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":"Web Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/web-230062","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-230062","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web230062?id=web-intelligence%2Fweb230062","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"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":"Web Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"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/W4381890820.pdf","grobid_xml":"https://content.openalex.org/works/W4381890820.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1988566638","https://openalex.org/W2008742843","https://openalex.org/W2015861736","https://openalex.org/W2027884517","https://openalex.org/W2121571815","https://openalex.org/W2133327040","https://openalex.org/W2159058417","https://openalex.org/W2171290494","https://openalex.org/W2327031957","https://openalex.org/W2511683089","https://openalex.org/W2546350184","https://openalex.org/W2939972973","https://openalex.org/W2946867748","https://openalex.org/W2954876896","https://openalex.org/W2980570898","https://openalex.org/W2983610881","https://openalex.org/W3004022361","https://openalex.org/W3047814101","https://openalex.org/W3082884334","https://openalex.org/W3084060824","https://openalex.org/W3087879900","https://openalex.org/W3097159520","https://openalex.org/W3097356548","https://openalex.org/W3126307664","https://openalex.org/W3168104563","https://openalex.org/W3192391422","https://openalex.org/W4236923089","https://openalex.org/W4286456736","https://openalex.org/W4321366824","https://openalex.org/W6818891324"],"related_works":["https://openalex.org/W4293211451","https://openalex.org/W3102253946","https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W4308191152","https://openalex.org/W3144574764","https://openalex.org/W2773120646","https://openalex.org/W3011074480","https://openalex.org/W1669643531","https://openalex.org/W3156786002"],"abstract_inverted_index":{"IoT":[0,16],"technologies":[1],"&amp;":[2,15,24,31,175],"UAVs":[3,35],"are":[4,49,250],"frequently":[5],"utilized":[6,190],"in":[7,17,86,127,222,234,269],"ecological":[8],"monitoring":[9,97],"areas.":[10],"Unmanned":[11],"Aerial":[12],"Vehicles":[13],"(UAVs)":[14],"farming":[18],"technology":[19],"can":[20],"evaluate":[21],"crop":[22,103],"disease":[23],"pest":[25,71,101,153,158,194,267],"incidence":[26],"from":[27,150,242,259],"the":[28,54,87,100,130,136,141,147,152,179,185,193,197,202,218,223,230,237,243,253,257,264,270],"ground\u2019s":[29],"micro":[30],"macro":[32],"aspects,":[33],"correspondingly.":[34],"could":[36],"capture":[37],"images":[38,48],"of":[39,56,89,124,132,232,266],"farms":[40],"using":[41,106],"a":[42,65,121,282],"spectral":[43],"camera":[44],"system,":[45],"and":[46,59,98,181],"these":[47,216],"been":[50],"used":[51,95],"to":[52,114,129,277],"examine":[53],"presence":[55],"agricultural":[57],"pests":[58,233],"diseases.":[60],"In":[61,178],"this":[62,111],"research":[63],"work,":[64],"novel":[66],"IoT-":[67],"assisted":[68],"UAV-":[69],"based":[70,76],"detection":[72,159,239],"with":[73,164],"Arithmetic":[74],"Crossover":[75],"Black":[77],"Widow":[78],"Optimization-Convolutional":[79],"Neural":[80,245],"Network":[81,246],"(ACBWO-CNN)":[82],"model":[83],"is":[84,94,113,120,143,241,275],"developed":[85],"field":[88],"agriculture.":[90],"Cloud":[91],"computing":[92],"mechanism":[93],"for":[96,110,191,229],"discovering":[99],"during":[102],"production":[104],"by":[105,140],"UAVs.":[107],"The":[108,157],"need":[109],"method":[112],"provide":[115],"data":[116],"centers,":[117],"so":[118],"there":[119],"necessary":[122],"amount":[123],"memory":[125],"storage":[126],"addition":[128],"processing":[131],"several":[133],"images.":[134,195],"Initially,":[135],"collected":[137],"input":[138],"image":[139],"UAV":[142],"assumed":[144],"on":[145],"handling":[146],"via-IoT-cloud":[148],"server,":[149],"which":[151],"identification":[154,231],"takes":[155],"place.":[156],"unit":[160],"will":[161,188,226,262],"be":[162,189,227],"designed":[163],"three":[165],"major":[166],"phases:":[167],"(a)":[168],"background":[169,182],"&amp;foreground":[170],"Segmentation,":[171],"(b)":[172],"Feature":[173],"Extraction":[174],"(c)":[176],"Classification.":[177],"foreground":[180],"Segmentation":[183],"phase,":[184],"K-means":[186],"clustering":[187],"segmenting":[192],"From":[196],"segmented":[198],"images,":[199],"it":[200],"extracts":[201],"features":[203],"including":[204],"Local":[205,210],"Binary":[206],"Pattern":[207,212],"(LBP)":[208],"&amp;improved":[209],"Vector":[211],"(LVP)":[213],"features.":[214],"With":[215],"features,":[217],"optimized":[219,260],"CNN":[220,261],"classifier":[221],"classification":[224],"phase":[225],"trained":[228],"crops.":[235],"Since":[236],"final":[238],"outcome":[240],"Convolutional":[244],"(CNN);":[247],"its":[248],"weights":[249],"fine-tuned":[251],"through":[252],"ACBWO":[254],"approach.":[255],"Thus,":[256],"output":[258],"portray":[263],"type":[265],"identified":[268],"field.":[271],"This":[272],"method\u2019s":[273],"performance":[274],"compared":[276],"other":[278],"existing":[279],"methods":[280],"concerning":[281],"few":[283],"measures.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
