{"id":"https://openalex.org/W4387698292","doi":"https://doi.org/10.1109/nmitcon58196.2023.10275816","title":"Categorizing Plant Leaf Disease using Convolutional Neural Network","display_name":"Categorizing Plant Leaf Disease using Convolutional Neural Network","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4387698292","doi":"https://doi.org/10.1109/nmitcon58196.2023.10275816"},"language":"en","primary_location":{"id":"doi:10.1109/nmitcon58196.2023.10275816","doi":"https://doi.org/10.1109/nmitcon58196.2023.10275816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nmitcon58196.2023.10275816","pdf_url":null,"source":{"id":"https://openalex.org/S7407096853","display_name":"International Conference on Networks, Multimedia and Information Technology (NMITCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Network, Multimedia and Information Technology (NMITCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5113024575","display_name":"S. Sujith","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujith S R","raw_affiliation_strings":["Global Academy of Technology,Department of CSE,Banglore,Karnataka,India","Department of CSE, Global Academy of Technology, Banglore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of CSE,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]},{"raw_affiliation_string":"Department of CSE, Global Academy of Technology, Banglore, Karnataka, India","institution_ids":["https://openalex.org/I4387152191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068632289","display_name":"Ashwini Kodipalli","orcid":"https://orcid.org/0000-0001-6549-1056","observed_orcids":["https://orcid.org/0000-0001-6549-1056"]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwini Kodipalli","raw_affiliation_strings":["Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109701871","display_name":"Trupthi Rao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Trupthi Rao","raw_affiliation_strings":["Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093075913","display_name":"Shruthi Kumarswamy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kumarswamy S","raw_affiliation_strings":["Global Academy of Technology,Department of CSE,Banglore,Karnataka,India","Department of CSE, Global Academy of Technology, Banglore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of CSE,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]},{"raw_affiliation_string":"Department of CSE, Global Academy of Technology, Banglore, Karnataka, India","institution_ids":["https://openalex.org/I4387152191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065330096","display_name":"B R Rohini","orcid":"https://orcid.org/0000-0003-2410-6558","observed_orcids":["https://orcid.org/0000-0003-2410-6558"]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohini B R","raw_affiliation_strings":["Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006854736","display_name":"V Pushpalatha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387152191","display_name":"Global Academy of Technology","ror":"https://ror.org/03s37k362","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387152191"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pushpalatha V","raw_affiliation_strings":["Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Academy of Technology,Department of AI &#x0026; DS,Banglore,Karnataka,India","institution_ids":["https://openalex.org/I4387152191"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387152191"],"apc_list":null,"apc_paid":null,"fwci":1.1153,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77069169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00019999999494757503,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plant-leaf-disease-classification","display_name":"leaf disease classification","score":0.9760000109672546},{"id":"https://openalex.org/keywords/potato-late-blight","display_name":"potato late blight","score":0.8410000205039978},{"id":"https://openalex.org/keywords/potato-early-blight","display_name":"potato early blight","score":0.9729999899864197},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.8090000152587891},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9399999976158142},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.9580000042915344},{"id":"https://openalex.org/keywords/vgg16","display_name":"VGG16","score":0.8769999742507935},{"id":"https://openalex.org/keywords/vgg19","display_name":"VGG19","score":0.9819999933242798},{"id":"https://openalex.org/keywords/image-based-disease-detection","display_name":"image-based disease detection","score":0.5519999861717224},{"id":"https://openalex.org/keywords/crop-disease-management","display_name":"crop disease management","score":0.8190000057220459}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7396621108055115},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6998280882835388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987690329551697},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6879298090934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6496936678886414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6138240098953247},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5972335338592529},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5050912499427795},{"id":"https://openalex.org/C182076605","wikidata":"https://www.wikidata.org/wiki/Q4273292","display_name":"Blight","level":2,"score":0.470651775598526},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.44621214270591736},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44100499153137207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42952263355255127},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.42410755157470703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41271716356277466},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.13916805386543274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13599038124084473},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.12131521105766296},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09149539470672607},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nmitcon58196.2023.10275816","doi":"https://doi.org/10.1109/nmitcon58196.2023.10275816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nmitcon58196.2023.10275816","pdf_url":null,"source":{"id":"https://openalex.org/S7407096853","display_name":"International Conference on Networks, Multimedia and Information Technology (NMITCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Network, Multimedia and Information Technology (NMITCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.8409000039100647}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W3016427339","https://openalex.org/W3126518358","https://openalex.org/W3132228584","https://openalex.org/W3135295892","https://openalex.org/W3173478554","https://openalex.org/W3178340391","https://openalex.org/W3201427442","https://openalex.org/W4205486683","https://openalex.org/W4205920687","https://openalex.org/W4206338051","https://openalex.org/W4214659485","https://openalex.org/W4223984460","https://openalex.org/W4224041753","https://openalex.org/W4283257278","https://openalex.org/W4285004946","https://openalex.org/W4297361133","https://openalex.org/W4320478861","https://openalex.org/W4327499523","https://openalex.org/W4366375882","https://openalex.org/W4377970432"],"related_works":["https://openalex.org/W4410838534","https://openalex.org/W4317106935","https://openalex.org/W4391409555","https://openalex.org/W4378373833","https://openalex.org/W4416925064","https://openalex.org/W4407214688","https://openalex.org/W7125952828","https://openalex.org/W7133121879","https://openalex.org/W4406263853","https://openalex.org/W4413086472"],"abstract_inverted_index":{"Plant":[0],"disease":[1,70,255],"could":[2],"lead":[3],"to":[4,64,109,125,212,244],"remarkable":[5],"losses":[6],"in":[7,43],"agricultural":[8,247],"production,":[9],"which":[10],"also":[11],"affect":[12],"yield":[13],"and":[14,25,35,59,68,87,94,129,155,177,200,227,246,252,264],"quality.":[15],"Implementing":[16],"effective":[17,254],"control":[18],"measures":[19],"for":[20,49,85],"these":[21,103],"diseases":[22,181],"requires":[23],"accurate":[24],"prompt":[26],"identification.":[27],"With":[28,98],"a":[29,47,66,77,119,143,167,183,195,201,239],"focus":[30],"on":[31,189],"the":[32,41,95,99,114,134,139,206,235],"late":[33,156],"blight":[34,37,157],"early":[36,154],"of":[38,136,146,187,198,203,216,220,224,230],"plant":[39,51],"leaves,":[40,150],"researchers":[42],"this":[44],"paper":[45],"suggest":[46],"framework":[48],"categorizing":[50],"diseases.":[52,158],"Researchers":[53],"have":[54,141],"employed":[55,234],"transfer":[56,105,174],"learning":[57,106,175],"strategies":[58],"Convolutional":[60],"Neural":[61],"Networks":[62],"(CNNs)":[63],"construct":[65],"trustworthy":[67],"efficient":[69],"categorization":[71],"model.":[72,237],"The":[73],"suggested":[74,164],"method":[75],"uses":[76],"customized":[78],"sequential":[79,168],"model":[80,127,169],"with":[81,153,182,192],"well-known":[82],"CNN":[83],"algorithms":[84,176],"training":[86],"testing,":[88],"such":[89],"as":[90],"ResNet-50,":[91],"VGG16,":[92],"VGG19,":[93],"Sequential":[96],"Model.":[97],"pre-trained":[100],"weights":[101],"from":[102,113,148],"models,":[104],"is":[107,123],"used":[108,124],"efficiently":[110],"obtain":[111],"features":[112],"provided":[115],"data.":[116],"During":[117],"training,":[118],"30%":[120],"dropout":[121],"rate":[122,186],"improve":[126],"generalization":[128],"reduce":[130],"overfitting.":[131],"To":[132],"evaluate":[133],"effectiveness":[135],"our":[137,163],"method,":[138],"authors":[140],"acquired":[142],"substantial":[144],"amount":[145],"data":[147,191],"potato":[149,179],"including":[151],"samples":[152],"Experimental":[159],"results":[160],"depict":[161],"that":[162],"strategy":[165],"using":[166],"has":[170],"outperformed":[171],"all":[172],"other":[173,207],"classifies":[178],"leaf":[180],"good":[184],"accuracy":[185,215],"98.7%":[188],"testing":[190],"50":[193],"epochs,":[194],"batch":[196],"size":[197],"32,":[199],"loss":[202],"0.04.":[204],"On":[205],"hand":[208],"we":[209,233],"were":[210],"able":[211],"reach":[213],"an":[214],"96%,":[217],"recall":[218],"score":[219,223,229],"0.9624,":[221],"precision":[222],"0.":[225],"9594,":[226],"f1":[228],"0.9608":[231],"when":[232],"ResNet":[236],"Such":[238],"system":[240],"can":[241],"be":[242],"beneficial":[243],"farmers":[245],"specialists":[248],"make":[249],"quick":[250],"judgements":[251],"put":[253],"management":[256],"tactics":[257],"into":[258],"practice,":[259],"ultimately":[260],"improving":[261],"crop":[262],"health":[263],"yield.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2023-10-18T00:00:00"}
