{"id":"https://openalex.org/W4404031706","doi":"https://doi.org/10.1109/icccnt61001.2024.10724653","title":"Advanced Severity Analysis of Garlic Leaf Disease Using Federated Learning and CNN Techniques","display_name":"Advanced Severity Analysis of Garlic Leaf Disease Using Federated Learning and CNN Techniques","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031706","doi":"https://doi.org/10.1109/icccnt61001.2024.10724653"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5061558029","display_name":"Shiva Mehta","orcid":"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":true,"raw_author_name":"Shiva Mehta","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology Chitkara University,Centre for Research Impact & Outcome,Rajpura,Punjab,India,140401"],"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology Chitkara University,Centre for Research Impact & Outcome,Rajpura,Punjab,India,140401","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027149221","display_name":"Rishabh Bhardwaj","orcid":"https://orcid.org/0000-0003-1561-4286"},"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":"Rishabh Bhardwaj","raw_affiliation_strings":["Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103"],"affiliations":[{"raw_affiliation_string":"Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103","institution_ids":["https://openalex.org/I74319210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061558029"],"corresponding_institution_ids":["https://openalex.org/I74319210"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10643131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11578","display_name":"Plant Pathogenic Bacteria Studies","score":0.9768999814987183,"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/T11578","display_name":"Plant Pathogenic Bacteria Studies","score":0.9768999814987183,"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/T11546","display_name":"Plant Physiology and Cultivation Studies","score":0.9710999727249146,"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/T10494","display_name":"Plant Virus Research Studies","score":0.9685999751091003,"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/computer-science","display_name":"Computer science","score":0.7252413630485535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4176156520843506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33371397852897644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252413630485535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4176156520843506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33371397852897644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10724653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W3093956116","https://openalex.org/W3157840876","https://openalex.org/W4207001442","https://openalex.org/W4213171864","https://openalex.org/W4293213335","https://openalex.org/W4296285913","https://openalex.org/W4310055532","https://openalex.org/W4379874928","https://openalex.org/W4383745473","https://openalex.org/W4383747515","https://openalex.org/W4385625287","https://openalex.org/W4385871980","https://openalex.org/W4386413953","https://openalex.org/W4386426988","https://openalex.org/W4386919702","https://openalex.org/W4386920845"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0,224],"research":[1,99],"paper":[2],"discusses":[3],"the":[4,32,51,97,130,154,163,167,175,180,184,235],"novel":[5],"integration":[6],"of":[7,58,148,192,200],"federated":[8,77,93,207],"learning":[9,39,208],"(FL)":[10],"and":[11,65,110,133,162,202,240],"Convolutional":[12],"Neural":[13],"Networks(CNN)":[14],"used":[15],"to":[16,40,56,160,219],"diagnose":[17],"garlic":[18,54,220],"leaf":[19,55,221],"disease":[20,52,222,242],"severity":[21,60],"in":[22,53,86,179,214],"four":[23,28,59],"classes.":[24],"Using":[25],"data":[26],"on":[27],"disparate":[29],"agricultural":[30,215],"clients,":[31],"study":[33,225],"shows":[34,82],"how":[35],"FL":[36],"aggregates":[37],"local":[38,87],"create":[41],"a":[42,68,75,145,189,212,227],"robust":[43],"model":[44,70],"applicable":[45],"globally.":[46],"It":[47],"also":[48,137,158],"involves":[49],"assigning":[50],"one":[57],"levels":[61],"(mild,":[62],"moderate,":[63],"severe":[64],"critical)":[66],"using":[67],"CNN":[69,210],"trained":[71],"across":[72],"clients":[73],"for":[74,124,229],"few":[76],"learning.":[78],"The":[79,121,140],"result":[80],"analysis":[81],"good":[83],"diagnostic":[84],"accuracy":[85],"data,":[88],"approximating":[89],"global":[90],"use":[91],"through":[92],"averaging.":[94],"In":[95,204],"particular,":[96],"mentioned":[98],"highlights":[100],"impressive":[101],"performance":[102],"metrics":[103],"such":[104],"as":[105,177],"Macro":[106,122,146,190],"Average,":[107,112],"Weighted":[108,155,198],"Average":[109,123,147,156,191,199],"Micro":[111,164],"which":[113,169],"are":[114,136,174],"consistently":[115],"above":[116],"average":[117,132,165],"among":[118],"all":[119,171],"clients.":[120],"client":[125,141],"dq_1":[126],"was":[127,157,166],"97.83%,":[128],"while":[129],"weighted":[131],"micro":[134],"averages":[135,173],"at":[138,188],"97.83%.":[139],"dq_":[142],"2":[143],"showed":[144],"${9":[149,193],"8.":[150,194],"8":[151],"4":[152],"\\%}$,":[153,197],"equal":[159],"it,":[161],"same,":[168,176],"means":[170],"three":[172],"observed":[178],"table":[181],"below.":[182],"Likewise,":[183],"Client":[185],"dq_3":[186],"scored":[187],"7":[195],"0":[196],"98.69%":[201],"Micro.":[203],"summary,":[205],"combining":[206],"with":[209],"is":[211,226],"milestone":[213],"technology":[216],"explicitly":[217],"related":[218],"diagnosis.":[223],"primer":[228],"future":[230],"precision":[231],"agriculture":[232],"innovations,":[233],"setting":[234],"tone":[236],"towards":[237],"scalable":[238],"privacy-preserving":[239],"accurate":[241],"detection":[243],"methods.":[244]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}