{"id":"https://openalex.org/W3095545995","doi":"https://doi.org/10.3233/jifs-201226","title":"Capsule network with K-Means routingfor plant disease recognition","display_name":"Capsule network with K-Means routingfor plant disease recognition","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3095545995","doi":"https://doi.org/10.3233/jifs-201226","mag":"3095545995"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201226","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201226","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","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/A5031646402","display_name":"Patrick Kwabena Mensah","orcid":"https://orcid.org/0000-0002-9374-920X"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":true,"raw_author_name":"Patrick Kwabena Mensah","raw_affiliation_strings":["Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064716614","display_name":"Benjamin Asubam Weyori","orcid":"https://orcid.org/0000-0001-5422-4251"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Benjamin Asubam Weyori","raw_affiliation_strings":["Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051046402","display_name":"Mighty Abra Ayidzoe","orcid":"https://orcid.org/0000-0001-5105-9625"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mighty Abra Ayidzoe","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031646402"],"corresponding_institution_ids":["https://openalex.org/I291863076"],"apc_list":null,"apc_paid":null,"fwci":1.5529,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85419037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"1","first_page":"1025","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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":0.9990000128746033,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.9842000007629395,"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":0.9811999797821045,"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/softmax-function","display_name":"Softmax function","score":0.7174679040908813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715438723564148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6040499806404114},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.5552762746810913},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5285355448722839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4958826005458832},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4799549877643585},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.45894116163253784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41766995191574097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3924243748188019},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38701409101486206},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.28741198778152466},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25113117694854736}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7174679040908813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715438723564148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6040499806404114},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.5552762746810913},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5285355448722839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4958826005458832},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4799549877643585},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.45894116163253784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41766995191574097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3924243748188019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38701409101486206},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.28741198778152466},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25113117694854736},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-201226","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201226","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W2097117768","https://openalex.org/W2134152049","https://openalex.org/W2163352848","https://openalex.org/W2187089797","https://openalex.org/W2302658801","https://openalex.org/W2321593351","https://openalex.org/W2339460098","https://openalex.org/W2473156356","https://openalex.org/W2614850301","https://openalex.org/W2753403518","https://openalex.org/W2758893285","https://openalex.org/W2789255992","https://openalex.org/W2884416373","https://openalex.org/W2893646015","https://openalex.org/W2901609506","https://openalex.org/W2913442488","https://openalex.org/W2940118123","https://openalex.org/W2945372729","https://openalex.org/W2968101244","https://openalex.org/W2969364300","https://openalex.org/W2976711440","https://openalex.org/W2996558393","https://openalex.org/W3003482062","https://openalex.org/W3016775567","https://openalex.org/W3017131906","https://openalex.org/W3023056542","https://openalex.org/W3094319938","https://openalex.org/W3204616723","https://openalex.org/W4285719527","https://openalex.org/W6773926202"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4285326772","https://openalex.org/W4376118624","https://openalex.org/W3080832216","https://openalex.org/W3170224572","https://openalex.org/W3043103998","https://openalex.org/W2019538911","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W2353241519"],"abstract_inverted_index":{"Capsule":[0],"Networks":[1],"(CapsNets)":[2],"excel":[3],"on":[4,14,36,86,130,145],"simple":[5],"image":[6],"recognition":[7],"problems.":[8],"However,":[9],"they":[10],"fail":[11],"to":[12,142],"perform":[13],"complex":[15],"images":[16,44],"with":[17,45,117,134],"high":[18,46],"similarity":[19,47],"and":[20,32,48,62,72],"background":[21,49],"objects.":[22,50],"This":[23],"paper":[24],"proposes":[25],"Local":[26],"Binary":[27],"Pattern":[28],"(LBP)":[29],"k-means":[30],"routing":[31,53,81,115],"evaluates":[33],"its":[34],"performance":[35,119],"three":[37,88,103],"publicly":[38],"available":[39],"plant":[40],"disease":[41],"datasets":[42,89,104],"containing":[43],"The":[51,121],"proposed":[52,93,122],"algorithm":[54],"adopts":[55],"the":[56,73,79,87,92,102,112,131,146],"squared":[57],"Euclidean":[58],"distance,":[59],"sigmoid":[60],"function,":[61],"a":[63,125],"\u2018simple-squash\u2019":[64],"in":[65,78,98,111],"place":[66],"of":[67,114,139],"dot":[68],"product,":[69],"SoftMax":[70],"normalizer,":[71],"squashing":[74],"function":[75],"found":[76],"respectively":[77],"dynamic":[80],"algorithm.":[82],"Extensive":[83],"experiments":[84],"conducted":[85],"showed":[90],"that":[91],"model":[94,123],"achieves":[95],"consistent":[96],"improvement":[97],"test":[99,137],"accuracy":[100,138],"across":[101],"as":[105,107],"well":[106],"allowing":[108],"an":[109,135],"increase":[110],"number":[113],"iterations":[116],"no":[118],"degradation.":[120],"outperformed":[124],"baseline":[126],"CapsNet":[127],"by":[128],"8.37%":[129],"tomato":[132],"dataset":[133],"overall":[136],"98.80%,":[140],"comparable":[141],"state-of-the-art":[143],"models":[144],"same":[147],"datasets.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}