{"id":"https://openalex.org/W4391470512","doi":"https://doi.org/10.3233/web-230180","title":"Deep hybrid classification model for leaf disease classification of underground crops","display_name":"Deep hybrid classification model for leaf disease classification of underground crops","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4391470512","doi":"https://doi.org/10.3233/web-230180"},"language":"en","primary_location":{"id":"doi:10.3233/web-230180","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-230180","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084376392","display_name":"Reus Salini","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Salini","raw_affiliation_strings":["Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037760922","display_name":"G. Charlyn Pushpa Latha","orcid":"https://orcid.org/0000-0002-8869-8487"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Charlyn Pushpa Latha","raw_affiliation_strings":["Department of Information Technology, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084297075","display_name":"Rashmita Khilar","orcid":"https://orcid.org/0000-0001-9124-9255"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rashmita Khilar","raw_affiliation_strings":["Department of Information Technology, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai -602105, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084376392"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.4528,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73470924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":"3","first_page":"443","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9957000017166138,"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":0.9957000017166138,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.9222999811172485,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.36890512704849243},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.32103562355041504},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32023996114730835},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.32011789083480835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3000020384788513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20572346448898315}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36890512704849243},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.32103562355041504},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32023996114730835},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.32011789083480835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3000020384788513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20572346448898315}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-230180","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-230180","pdf_url":null,"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":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2063599644","https://openalex.org/W2610720032","https://openalex.org/W2783391671","https://openalex.org/W2884436604","https://openalex.org/W2887951291","https://openalex.org/W2915830107","https://openalex.org/W2923504698","https://openalex.org/W2927613875","https://openalex.org/W2979307589","https://openalex.org/W2980435792","https://openalex.org/W2980702392","https://openalex.org/W3010655531","https://openalex.org/W3024043725","https://openalex.org/W3040901315","https://openalex.org/W3044593388","https://openalex.org/W3091846766","https://openalex.org/W3094539239","https://openalex.org/W3108944572","https://openalex.org/W3111482200","https://openalex.org/W3122502958","https://openalex.org/W3127841596","https://openalex.org/W3134827261","https://openalex.org/W3136564459","https://openalex.org/W3161848889","https://openalex.org/W3162576617","https://openalex.org/W3165026920","https://openalex.org/W3169071539","https://openalex.org/W3206899080","https://openalex.org/W3212089762","https://openalex.org/W4205208936","https://openalex.org/W4205920687","https://openalex.org/W4212853935","https://openalex.org/W4226106121","https://openalex.org/W4226177085","https://openalex.org/W4283320015","https://openalex.org/W4294151519","https://openalex.org/W4295972176","https://openalex.org/W4308239228","https://openalex.org/W4313856295","https://openalex.org/W6794689166","https://openalex.org/W6803115243","https://openalex.org/W6810600507"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Underground":[0],"crop":[1,67,80],"leave":[2,81],"disease":[3,82],"classification":[4,50,83],"is":[5,68,95,134,192],"the":[6,11,17,31,58,66,86,113,175],"most":[7],"significant":[8,18],"area":[9],"in":[10],"agriculture":[12],"sector":[13],"as":[14],"they":[15],"are":[16,150,164,168],"source":[19],"of":[20,33,37,60,117,177,187],"carbohydrates":[21],"for":[22,35,78,136,153],"human":[23],"food.":[24],"However,":[25],"a":[26],"disease-ridden":[27],"plant":[28],"could":[29],"threaten":[30],"availability":[32],"food":[34],"millions":[36],"people.":[38],"Researchers":[39],"tried":[40],"to":[41,46,63,173,197],"use":[42],"computer":[43],"vision":[44],"(CV)":[45],"develop":[47],"an":[48],"image":[49],"algorithm":[51],"that":[52,84],"might":[53],"warn":[54],"farmers":[55],"by":[56,97,102],"clicking":[57],"images":[59],"plant\u2019s":[61],"leaves":[62],"find":[64],"if":[65],"diseased":[69],"or":[70],"not.":[71],"This":[72],"work":[73],"develops":[74],"anew":[75],"DHCLDC":[76,183],"model":[77,133],"underground":[79],"considers":[85],"plants":[87],"like":[88],"cassava,":[89],"potato":[90],"and":[91,122,141,205],"groundnut.":[92],"Here,":[93],"preprocessing":[94],"done":[96,169],"employing":[98],"median":[99],"filter,":[100],"followed":[101],"segmentation":[103],"using":[104],"Improved":[105],"U-net":[106],"(U-Net":[107],"with":[108,170],"nested":[109],"convolutional":[110],"block).":[111],"Further,":[112],"features":[114,121],"extracted":[115],"comprise":[116],"color":[118],"features,":[119],"shape":[120],"improved":[123,154],"multi":[124],"text":[125],"on":[126],"(MT)":[127],"features.":[128],"Finally,":[129,166],"Hybrid":[130],"classifier":[131],"(HC)":[132],"developed":[135],"DHCLDC,":[137],"which":[138,160],"comprised":[139],"CNN":[140],"LSTM":[142],"models.":[143],"The":[144,185],"outputs":[145],"from":[146,159],"HC(CNN":[147],"+":[148,180,190],"LSTM)":[149,181,191],"then":[151],"given":[152],"score":[155],"level":[156],"fusion":[157],"(SLF)":[158],"final":[161],"detected":[162],"e":[163],"attained.":[165],"simulations":[167],"3":[171],"datasets":[172],"show":[174],"betterment":[176],"HC":[178,188],"(CNN":[179,189],"based":[182],"model.":[184],"specificity":[186],"high,":[193],"at":[194],"95.41,":[195],"compared":[196],"DBN,":[198],"NN,":[199],"RF,":[200],"KNN,":[201],"CNN,":[202],"LSTM,":[203],"DCNN,":[204],"SVM.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}