{"id":"https://openalex.org/W4226106053","doi":"https://doi.org/10.1145/3512576.3512588","title":"Classification of Corn Leaf Disease Using the Optimized DenseNet-169 Model","display_name":"Classification of Corn Leaf Disease Using the Optimized DenseNet-169 Model","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4226106053","doi":"https://doi.org/10.1145/3512576.3512588"},"language":"en","primary_location":{"id":"doi:10.1145/3512576.3512588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512576.3512588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 9th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-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/A5035911229","display_name":"Rima Tri Wahyuningrum","orcid":"https://orcid.org/0000-0003-1760-9341"},"institutions":[{"id":"https://openalex.org/I4210111230","display_name":"Institut Informatika Indonesia","ror":"https://ror.org/01r3zxa49","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210111230"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Rima Tri Wahyuningrum","raw_affiliation_strings":["Informatics Engineering, Indonesian, Indonesia"],"affiliations":[{"raw_affiliation_string":"Informatics Engineering, Indonesian, Indonesia","institution_ids":["https://openalex.org/I4210111230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027161003","display_name":"Ari Kusumaningsih","orcid":"https://orcid.org/0000-0002-8716-9890"},"institutions":[{"id":"https://openalex.org/I4210111230","display_name":"Institut Informatika Indonesia","ror":"https://ror.org/01r3zxa49","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210111230"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ari Kusumaningsih","raw_affiliation_strings":["Informatics Engineering, Indonesian, Indonesia"],"affiliations":[{"raw_affiliation_string":"Informatics Engineering, Indonesian, Indonesia","institution_ids":["https://openalex.org/I4210111230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062445702","display_name":"Wijanarko Putra Rajeb","orcid":null},"institutions":[{"id":"https://openalex.org/I3132710747","display_name":"Trunojoyo University","ror":"https://ror.org/03x2m4d16","country_code":"ID","type":"education","lineage":["https://openalex.org/I3132710747"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wijanarko Putra Rajeb","raw_affiliation_strings":["Department of Informatics Engineering, University of Trunojoyo Madura, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Trunojoyo Madura, Indonesia","institution_ids":["https://openalex.org/I3132710747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103152092","display_name":"I Ketut Eddy Purnama","orcid":"https://orcid.org/0000-0002-7438-7880"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"I Ketut Eddy Purnama","raw_affiliation_strings":["Computer Engineering, Indonesian, Indonesia"],"affiliations":[{"raw_affiliation_string":"Computer Engineering, Indonesian, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035911229"],"corresponding_institution_ids":["https://openalex.org/I4210111230"],"apc_list":null,"apc_paid":null,"fwci":1.7508,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86286097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9965999722480774,"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":0.9965999722480774,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.9308000206947327,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9225000143051147,"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":0.575232207775116},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5499420762062073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5430611371994019},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5055639743804932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47936588525772095},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42045503854751587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4179023802280426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3488727807998657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3325379490852356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09010452032089233}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.575232207775116},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5499420762062073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430611371994019},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5055639743804932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47936588525772095},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42045503854751587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4179023802280426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3488727807998657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3325379490852356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09010452032089233},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512576.3512588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512576.3512588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 9th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2730129132","https://openalex.org/W2805772477","https://openalex.org/W2907963394","https://openalex.org/W2921029329","https://openalex.org/W2942307268","https://openalex.org/W2982381523","https://openalex.org/W3043813914","https://openalex.org/W3095722810","https://openalex.org/W3100036209","https://openalex.org/W3111506096","https://openalex.org/W3114702451","https://openalex.org/W3151002445","https://openalex.org/W3172544793","https://openalex.org/W3178340391","https://openalex.org/W3213793868","https://openalex.org/W4256088912"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W4372048956"],"abstract_inverted_index":{"Corn":[0],"is":[1,77,142,147,261],"the":[2,37,40,46,50,58,82,88,94,104,122,137,170,204,208,212,217,222,227,247,255,268,279],"second":[3],"main":[4,16],"commodity":[5],"after":[6],"rice":[7],"in":[8,11,23,27,52,133,284],"Indonesia.":[9,135],"Meanwhile,":[10],"its":[12],"cultivation,":[13],"there":[14],"are":[15,39],"obstacles,":[17],"namely":[18,111,150],"pests":[19],"and":[20,34,55,68,90,126,195,216,244,264],"diseases.":[21,70,272],"Diseases":[22],"plants":[24],"usually":[25],"occur":[26],"different":[28,173],"parts,":[29],"such":[30],"as":[31],"roots,":[32],"leaves,":[33],"stems.":[35],"However,":[36],"leaves":[38,95],"most":[41],"common":[42],"parts":[43],"to":[44,66,80,161,166,185,277,281],"detect":[45,282],"disease":[47,201,239,283],"because":[48],"of":[49,57,72,75,84,96,103,139,198,236,240,271],"differences":[51],"size,":[53],"shape,":[54],"color":[56],"leaves.":[59],"This":[60,99,273],"makes":[61,274],"it":[62,275],"a":[63,233],"major":[64],"challenge":[65],"identify":[67],"classify":[69],"Classification":[71],"leaf":[73,200,238],"diseases":[74],"corn":[76,97,199,237],"one":[78,102],"way":[79],"increase":[81],"accuracy":[83,197,235,251],"diagnosis":[85],"by":[86],"utilizing":[87],"symptoms":[89],"signs":[91],"found":[92],"on":[93],"plants.":[98],"paper":[100],"presents":[101],"Deep":[105],"Convolutional":[106],"Neural":[107],"Network":[108],"(CNN)":[109],"models,":[110],"DenseNet-169":[112,256],"optimized.":[113],"Applied":[114],"models":[115],"trained":[116],"with":[117,246,258],"an":[118],"open":[119],"dataset":[120,125,215,220],"from":[121,130],"plant":[123],"village":[124],"primary":[127,140,206,210],"data":[128,141,145],"obtained":[129],"four":[131],"districts":[132],"Madura,":[134],"Because":[136],"amount":[138],"not":[143],"much,":[144],"augmentation":[146],"carried":[148],"out,":[149],"rotate":[151],"range":[152,164],"90\u2070,":[153],"flip":[154,156],"horizontal,":[155],"vertical,":[157],"brightness":[158],"random":[159],"0.6":[160],"2.0,":[162],"zoom":[163],"0.65":[165],"0.95.":[167],"To":[168],"evaluate":[169],"model's":[171],"performance,":[172],"optimization":[174,183],"parameters":[175],"were":[176],"included,":[177],"namely,":[178],"Stochastic":[179],"Gradient":[180],"Descent":[181],"(SGD)":[182],"compared":[184],"Adam":[186,228,259],"optimization.":[187],"The":[188,250],"implemented":[189],"model":[190,231,257],"achieves":[191],"62.3%,":[192],"75.66%,":[193],"98.08%":[194],"99.32%":[196,245],"classification":[202,234],"for":[203,221,226],"original":[205,213],"dataset,":[207,211],"augmented":[209,218],"secondary":[214,219],"SGD":[223],"optimizer.":[224],"As":[225],"optimizer,":[229],"this":[230],"produces":[232],"67.78%,":[241],"83.5%,":[242],"99%":[243],"same":[248],"conditions.":[249],"results":[252],"show":[253],"that":[254],"optimizer":[260],"more":[262],"hopeful":[263],"can":[265],"significantly":[266],"affect":[267],"efficient":[269],"recognition":[270],"possible":[276],"have":[278],"potential":[280],"real-time":[285],"farming":[286],"systems.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}