{"id":"https://openalex.org/W4318825405","doi":"https://doi.org/10.3390/computation11020020","title":"Mobile Application for Tomato Plant Leaf Disease Detection Using a Dense Convolutional Network Architecture","display_name":"Mobile Application for Tomato Plant Leaf Disease Detection Using a Dense Convolutional Network Architecture","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4318825405","doi":"https://doi.org/10.3390/computation11020020"},"language":"en","primary_location":{"id":"doi:10.3390/computation11020020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation11020020","pdf_url":"https://www.mdpi.com/2079-3197/11/2/20/pdf?version=1676018610","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/11/2/20/pdf?version=1676018610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013457217","display_name":"Intan Nurma Yulita","orcid":"https://orcid.org/0000-0002-8539-3311"},"institutions":[{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Intan Nurma Yulita","raw_affiliation_strings":["Research Center for Artificial Intelligence and Big Data, Universitas Padjadjaran, Sumedang 45363, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Artificial Intelligence and Big Data, Universitas Padjadjaran, Sumedang 45363, Indonesia","institution_ids":["https://openalex.org/I91819753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026929062","display_name":"Naufal Ariful Amri","orcid":null},"institutions":[{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Naufal Ariful Amri","raw_affiliation_strings":["Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia","institution_ids":["https://openalex.org/I91819753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108739189","display_name":"Akik Hidayat","orcid":null},"institutions":[{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Akik Hidayat","raw_affiliation_strings":["Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia","institution_ids":["https://openalex.org/I91819753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013457217"],"corresponding_institution_ids":["https://openalex.org/I91819753"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":11.0778,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9809084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":"2","first_page":"20","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9919999837875366,"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":0.9919999837875366,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9799000024795532,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/dropout","display_name":"Dropout (neural networks)","score":0.7005726099014282},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6880759596824646},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5418220162391663},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.43766647577285767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43745970726013184},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4133363366127014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33537954092025757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3298231065273285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29171332716941833},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.25857093930244446}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.7005726099014282},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6880759596824646},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5418220162391663},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.43766647577285767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43745970726013184},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4133363366127014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33537954092025757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3298231065273285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29171332716941833},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.25857093930244446}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/computation11020020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation11020020","pdf_url":"https://www.mdpi.com/2079-3197/11/2/20/pdf?version=1676018610","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:39ecd3fb174f46a49c36e65b008c924f","is_oa":true,"landing_page_url":"https://doaj.org/article/39ecd3fb174f46a49c36e65b008c924f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 11, Iss 2, p 20 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-3197/11/2/20/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/computation11020020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/computation11020020","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation11020020","pdf_url":"https://www.mdpi.com/2079-3197/11/2/20/pdf?version=1676018610","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5376290219","display_name":null,"funder_award_id":"2203/UN6.3.1/PT.00/2022","funder_id":"https://openalex.org/F4320329092","funder_display_name":"Universitas Padjadjaran"}],"funders":[{"id":"https://openalex.org/F4320329092","display_name":"Universitas Padjadjaran","ror":"https://ror.org/00xqf8t64"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4318825405.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2792388868","https://openalex.org/W2799848215","https://openalex.org/W2809254203","https://openalex.org/W2883357302","https://openalex.org/W2908770572","https://openalex.org/W2937343562","https://openalex.org/W2941816431","https://openalex.org/W2952286992","https://openalex.org/W2961553857","https://openalex.org/W2964118901","https://openalex.org/W2969837424","https://openalex.org/W2970413753","https://openalex.org/W2980506937","https://openalex.org/W2987984071","https://openalex.org/W3000072043","https://openalex.org/W3006277995","https://openalex.org/W3011702533","https://openalex.org/W3017162664","https://openalex.org/W3039201839","https://openalex.org/W3080594017","https://openalex.org/W3087173802","https://openalex.org/W3091719643","https://openalex.org/W3095191006","https://openalex.org/W3109852393","https://openalex.org/W3119261787","https://openalex.org/W3119462501","https://openalex.org/W3124539583","https://openalex.org/W3133590696","https://openalex.org/W3137300996","https://openalex.org/W3197438232","https://openalex.org/W3200361965","https://openalex.org/W3214341948","https://openalex.org/W3215484246","https://openalex.org/W4210282496","https://openalex.org/W4221111998","https://openalex.org/W4285392741","https://openalex.org/W4286775354","https://openalex.org/W4297820405","https://openalex.org/W4308485661","https://openalex.org/W4313515579","https://openalex.org/W6750774442","https://openalex.org/W6780041003","https://openalex.org/W6800740154","https://openalex.org/W6804321387"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4390421286","https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"In":[0],"Indonesia,":[1],"tomato":[2,17,28,38,55,127],"is":[3,21],"one":[4],"of":[5,27,37,47,98,109,116,122],"the":[6,10,25,31,45,79,100,110,130,133],"horticultural":[7],"products":[8],"with":[9,44,63,132],"highest":[11],"economic":[12],"value.":[13],"To":[14,125],"maintain":[15],"enhanced":[16],"plant":[18,39,56,128],"production,":[19],"it":[20],"necessary":[22],"to":[23,77],"monitor":[24],"growth":[26],"plants,":[29],"particularly":[30],"leaves.":[32,57],"The":[33,105],"quality":[34],"and":[35,94,119],"quantity":[36],"production":[40],"can":[41,51],"be":[42],"preserved":[43],"aid":[46],"computer":[48],"technology.":[49],"It":[50],"identify":[52],"diseases":[53],"in":[54,69,139],"An":[58],"algorithm":[59],"for":[60],"deep":[61],"learning":[62],"a":[64,86,95,140],"DenseNet":[65,87],"architecture":[66],"was":[67,103,137],"implemented":[68,138],"this":[70],"study.":[71],"Multiple":[72],"hyperparameter":[73],"tests":[74],"were":[75],"conducted":[76],"determine":[78],"optimal":[80,101],"model.":[81],"Using":[82],"two":[83],"hidden":[84],"layers,":[85],"trainable":[88],"layer":[89],"on":[90],"dense":[91],"block":[92],"5,":[93],"dropout":[96],"rate":[97],"0.4,":[99],"model":[102,111,131],"constructed.":[104],"10-fold":[106],"cross-validation":[107],"evaluation":[108],"yielded":[112],"an":[113,120],"accuracy":[114],"value":[115],"95.7":[117],"percent":[118],"F1-score":[121],"95.4":[123],"percent.":[124],"recognize":[126],"leaves,":[129],"best":[134],"assessment":[135],"results":[136],"mobile":[141],"application.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
