{"id":"https://openalex.org/W4386919701","doi":"https://doi.org/10.1109/icaiss58487.2023.10250455","title":"Bean Leaf Disease Diagnosis in the Age of Federated Learning and CNN: A Severity Analysis Approach","display_name":"Bean Leaf Disease Diagnosis in the Age of Federated Learning and CNN: A Severity Analysis Approach","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386919701","doi":"https://doi.org/10.1109/icaiss58487.2023.10250455"},"language":"en","primary_location":{"id":"doi:10.1109/icaiss58487.2023.10250455","doi":"https://doi.org/10.1109/icaiss58487.2023.10250455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiss58487.2023.10250455","pdf_url":null,"source":{"id":"https://openalex.org/S4363607930","display_name":"International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","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/A5061558029","display_name":"Shiva Mehta","orcid":"https://orcid.org/0009-0002-5537-7027","observed_orcids":["https://orcid.org/0009-0002-5537-7027"]},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiva Mehta","raw_affiliation_strings":["Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India","Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India","institution_ids":["https://openalex.org/I74319210"]},{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024147005","display_name":"Vinay Kukreja","orcid":"https://orcid.org/0000-0002-9760-0824","observed_orcids":["https://orcid.org/0000-0002-9760-0824"]},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay Kukreja","raw_affiliation_strings":["Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India","Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India","institution_ids":["https://openalex.org/I74319210"]},{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083429850","display_name":"Satvik Vats","orcid":"https://orcid.org/0000-0002-9422-4915","observed_orcids":["https://orcid.org/0000-0002-9422-4915"]},"institutions":[{"id":"https://openalex.org/I1281160679","display_name":"Graphic Era Hill University","ror":"https://ror.org/01bb4h160","country_code":"IN","type":"education","lineage":["https://openalex.org/I1281160679"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satvik Vats","raw_affiliation_strings":["Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India","Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India","institution_ids":["https://openalex.org/I1281160679"]},{"raw_affiliation_string":"Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I1281160679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":26.3961,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.99778303,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"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":0.9980000257492065,"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":0.000699999975040555,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/plant-disease-classification","display_name":"plant disease classification","score":0.7979999780654907},{"id":"https://openalex.org/keywords/disease-severity-assessment","display_name":"disease severity assessment","score":0.7850000262260437},{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":1.0},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.7649999856948853},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"precision agriculture","score":0.9039999842643738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099822759628296},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6965452432632446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6686740517616272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6548425555229187},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5242559909820557},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5187513828277588},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5005173683166504},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4496418535709381},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.41970252990722656},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1109/icaiss58487.2023.10250455","doi":"https://doi.org/10.1109/icaiss58487.2023.10250455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiss58487.2023.10250455","pdf_url":null,"source":{"id":"https://openalex.org/S4363607930","display_name":"International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.958299994468689}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2969364300","https://openalex.org/W3082465591","https://openalex.org/W3093926104","https://openalex.org/W3117722799","https://openalex.org/W3123459983","https://openalex.org/W3138552186","https://openalex.org/W3155429422","https://openalex.org/W3159233641","https://openalex.org/W3162445336","https://openalex.org/W3162680951","https://openalex.org/W3166747973","https://openalex.org/W3210681193","https://openalex.org/W4206618551","https://openalex.org/W4285166623","https://openalex.org/W4303045583","https://openalex.org/W6791434552"],"related_works":["https://openalex.org/W4386413953","https://openalex.org/W4395090622","https://openalex.org/W4395070008","https://openalex.org/W4398186223","https://openalex.org/W4393036301","https://openalex.org/W4393036196","https://openalex.org/W4401018329","https://openalex.org/W4396679666","https://openalex.org/W4396667756","https://openalex.org/W4396679562"],"abstract_inverted_index":{"This":[0],"study":[1],"describes":[2],"a":[3,39,127],"unique":[4],"federated":[5,51,78,146,164],"learning":[6,52,79,147,165],"method":[7],"for":[8,158,169,184],"classifying":[9],"bean":[10,31,170],"leaf":[11,32,171],"disorders":[12],"and":[13,34,60,102,104,108,136,174,181,188],"determining":[14],"the":[15,55,92,116,145,162,182],"severity":[16,37,175],"of":[17,41,58,129],"each":[18],"condition":[19],"using":[20,46],"convolutional":[21],"neural":[22],"networks":[23],"(CNNs).":[24],"The":[25,50,77,94],"suggested":[26,163],"methodology":[27],"categorizes":[28],"four":[29,47],"distinct":[30],"diseases":[33],"rate":[35],"their":[36,105],"on":[38],"scale":[40],"1":[42],"to":[43,68],"100%":[44],"by":[45,64],"separate":[48],"levels.":[49],"framework":[53,148],"allows":[54],"efficient":[56,185],"utilization":[57],"various":[59],"dispersed":[61,153],"agricultural":[62,160],"data":[63,75,178],"enabling":[65],"different":[66],"clients":[67],"participate":[69],"in":[70,91],"model":[71,118],"training":[72],"while":[73],"protecting":[74],"privacy.":[76],"technique":[80],"consistently":[81,125],"offers":[82],"strong":[83],"classification":[84,150,173],"performance":[85,151],"across":[86,126,152],"all":[87],"clients,":[88],"as":[89,133],"shown":[90],"findings.":[93],"customers'":[95],"total":[96],"accuracy":[97],"scores":[98,110],"fall":[99],"between":[100],"0.97":[101],"0.98,":[103],"precision,":[106],"recall,":[107],"F1-score":[109],"also":[111],"show":[112],"excellent":[113],"performance.":[114],"Additionally,":[115],"aggregated":[117],"that":[119],"has":[120],"been":[121],"internationally":[122],"assessed":[123],"performs":[124],"range":[128],"average":[130,138],"metrics,":[131],"such":[132],"macro,":[134],"weighted,":[135],"micro":[137],"values.":[139],"These":[140],"findings":[141],"highlight":[142],"how":[143],"well":[144],"preserves":[149],"datasets.":[154],"A":[155],"potential":[156],"option":[157],"precision":[159],"applications,":[161],"strategy":[166],"employing":[167],"CNNs":[168],"disease":[172,186],"assessment":[176],"addresses":[177],"privacy":[179],"issues":[180],"need":[183],"identification":[187],"control.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-09-22T00:00:00"}