{"id":"https://openalex.org/W3127031314","doi":"https://doi.org/10.14421/icse.v3.535","title":"Detection of Rice Plants Diseases Using Convolutional Neural Network (CNN)","display_name":"Detection of Rice Plants Diseases Using Convolutional Neural Network (CNN)","publication_year":2020,"publication_date":"2020-04-30","ids":{"openalex":"https://openalex.org/W3127031314","doi":"https://doi.org/10.14421/icse.v3.535","mag":"3127031314"},"language":"en","primary_location":{"id":"doi:10.14421/icse.v3.535","doi":"https://doi.org/10.14421/icse.v3.535","is_oa":true,"landing_page_url":"https://doi.org/10.14421/icse.v3.535","pdf_url":"http://sunankalijaga.org/prosiding/index.php/icse/article/download/535/509","source":{"id":"https://openalex.org/S4210232241","display_name":"Proceeding International Conference on Science and Engineering","issn_l":"2597-5250","issn":["2597-5250","2598-232X"],"is_oa":true,"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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding International Conference on Science and Engineering","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3127031314"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://sunankalijaga.org/prosiding/index.php/icse/article/download/535/509","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Achmad Ramadhanna\u2019il Rasjava","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I127859547","display_name":"Yogyakarta State University","ror":"https://ror.org/05fryw881","country_code":"ID","type":"education","lineage":["https://openalex.org/I127859547"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Achmad Ramadhanna\u2019il Rasjava","raw_affiliation_strings":["Caturtunggal , Kec. Depok , Kabupaten Sleman , Daerah Istimewa Yogyakarta 55281 , Indonesia","Universitas negeri Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Caturtunggal , Kec. Depok , Kabupaten Sleman , Daerah Istimewa Yogyakarta 55281 , Indonesia","institution_ids":[]},{"raw_affiliation_string":"Universitas negeri Yogyakarta","institution_ids":["https://openalex.org/I127859547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064679010","display_name":"Aditya Wisnugraha Sugiyarto","orcid":"https://orcid.org/0009-0008-2737-3639","observed_orcids":["https://orcid.org/0009-0008-2737-3639"]},"institutions":[{"id":"https://openalex.org/I127859547","display_name":"Yogyakarta State University","ror":"https://ror.org/05fryw881","country_code":"ID","type":"education","lineage":["https://openalex.org/I127859547"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aditya Wisnugraha Sugiyarto","raw_affiliation_strings":["Mathematics Department ,","Universitas negeri Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department ,","institution_ids":[]},{"raw_affiliation_string":"Universitas negeri Yogyakarta","institution_ids":["https://openalex.org/I127859547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042803370","display_name":"Yori Kurniasari","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I127859547","display_name":"Yogyakarta State University","ror":"https://ror.org/05fryw881","country_code":"ID","type":"education","lineage":["https://openalex.org/I127859547"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yori Kurniasari","raw_affiliation_strings":["Mathematics Department ,","Universitas negeri Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department ,","institution_ids":[]},{"raw_affiliation_string":"Universitas negeri Yogyakarta","institution_ids":["https://openalex.org/I127859547"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016818724","display_name":"Syaifullah Yusuf Ramadhan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I127859547","display_name":"Yogyakarta State University","ror":"https://ror.org/05fryw881","country_code":"ID","type":"education","lineage":["https://openalex.org/I127859547"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Syaifullah Yusuf Ramadhan","raw_affiliation_strings":["Statistics Department , Faculty of Mathematics and Natural Science , Universitas Negeri Yogyakarta , Jl. Colombo No.1 , Karang Malang ,","Universitas negeri Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department , Faculty of Mathematics and Natural Science , Universitas Negeri Yogyakarta , Jl. Colombo No.1 , Karang Malang ,","institution_ids":["https://openalex.org/I127859547"]},{"raw_affiliation_string":"Universitas negeri Yogyakarta","institution_ids":["https://openalex.org/I127859547"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I127859547"],"apc_list":null,"apc_paid":null,"fwci":2.8512,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91353152,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"393","last_page":"396"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0005000000237487257,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/rice-plant-disease-detection","display_name":"rice plant disease detection","score":0.9330000281333923},{"id":"https://openalex.org/keywords/rice","display_name":"rice","score":0.8679999709129333},{"id":"https://openalex.org/keywords/brown-spot","display_name":"brown spot","score":0.9300000071525574},{"id":"https://openalex.org/keywords/leaf-smut","display_name":"leaf smut","score":0.9879999756813049},{"id":"https://openalex.org/keywords/bacterial-leaf-blight","display_name":"bacterial leaf blight","score":1.0},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8460000157356262},{"id":"https://openalex.org/keywords/leaf-image-classification","display_name":"leaf image classification","score":0.8270000219345093},{"id":"https://openalex.org/keywords/plant-disease-diagnosis","display_name":"plant disease diagnosis","score":0.7070000171661377}],"concepts":[{"id":"https://openalex.org/C2992726227","wikidata":"https://www.wikidata.org/wiki/Q5090","display_name":"Rice plant","level":2,"score":0.8198291063308716},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7598837614059448},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6210739612579346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046237349510193},{"id":"https://openalex.org/C2778543611","wikidata":"https://www.wikidata.org/wiki/Q161426","display_name":"Oryza sativa","level":3,"score":0.5123851895332336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49336495995521545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4878880977630615},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4375455975532532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4116745889186859},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3586105704307556},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.33176976442337036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33078548312187195},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1697831153869629},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1426251232624054},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14421/icse.v3.535","doi":"https://doi.org/10.14421/icse.v3.535","is_oa":true,"landing_page_url":"https://doi.org/10.14421/icse.v3.535","pdf_url":"http://sunankalijaga.org/prosiding/index.php/icse/article/download/535/509","source":{"id":"https://openalex.org/S4210232241","display_name":"Proceeding International Conference on Science and Engineering","issn_l":"2597-5250","issn":["2597-5250","2598-232X"],"is_oa":true,"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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding International Conference on Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.14421/icse.v3.535","doi":"https://doi.org/10.14421/icse.v3.535","is_oa":true,"landing_page_url":"https://doi.org/10.14421/icse.v3.535","pdf_url":"http://sunankalijaga.org/prosiding/index.php/icse/article/download/535/509","source":{"id":"https://openalex.org/S4210232241","display_name":"Proceeding International Conference on Science and Engineering","issn_l":"2597-5250","issn":["2597-5250","2598-232X"],"is_oa":true,"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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding International Conference on Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3127031314.pdf","grobid_xml":"https://content.openalex.org/works/W3127031314.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1588043766","https://openalex.org/W1915761309","https://openalex.org/W2130015282","https://openalex.org/W2130201759","https://openalex.org/W2511648595","https://openalex.org/W2556344292","https://openalex.org/W2731165298","https://openalex.org/W2757053645","https://openalex.org/W2914550477","https://openalex.org/W2954996726","https://openalex.org/W2955074764","https://openalex.org/W2975019246","https://openalex.org/W2979114232","https://openalex.org/W3004857869","https://openalex.org/W3125423394","https://openalex.org/W4238166416","https://openalex.org/W4321439858"],"related_works":["https://openalex.org/W3167711633","https://openalex.org/W3188277458","https://openalex.org/W4399178949","https://openalex.org/W4403212701","https://openalex.org/W7009292806","https://openalex.org/W3209565222","https://openalex.org/W4391444221","https://openalex.org/W4295540095","https://openalex.org/W4381790803","https://openalex.org/W4306878431"],"abstract_inverted_index":{"As":[0,83],"a":[1,98],"rice-producing":[2],"plant,":[3],"rice":[4,29,35,44,51,54,206,251,271],"plant":[5,60,272],"(Oryza":[6],"sativa":[7],"L.)":[8],"is":[9,20,37,61,97,163,179,186],"one":[10,164,176],"of":[11,34,42,50,86,100,150,165,177,197,205,250,270],"the":[12,40,43,48,53,84,117,121,131,136,166,170,180,187,203,239,267],"most":[13],"important":[14],"crops":[15],"in":[16,28,169,200],"Indonesia.":[17],"Rice":[18,59],"production":[19,36,55],"increasing":[21],"every":[22],"year":[23],"along":[24],"with":[25],"an":[26],"increase":[27],"demand":[30],"and":[31,79,88,110,133,157,230],"population.The":[32],"amount":[33],"affected":[38],"by":[39,238],"condition":[41,49],"plants.":[45],"The":[46,145,235],"worse":[47],"plants,":[52],"will":[56],"also":[57],"lower.":[58],"very":[62],"susceptible":[63],"to":[64,123,128,138,194,221],"diseases":[65,208],"or":[66,260],"pests":[67],"that":[68],"can":[69,242],"reduce":[70],"its":[71],"productivity,":[72],"including":[73],"brown":[74,256],"spot":[75],"disease,":[76],"leaf":[77,81,258,262],"smut":[78],"bacterial":[80,261],"blight.":[82],"development":[85],"science":[87],"technology,":[89],"currently":[90],"known":[91],"as":[92,105,154],"Artificial":[93,95],"Intelligence.":[94],"intelligence":[96,147],"combination":[99],"several":[101,151],"scientific":[102],"disciplines":[103],"such":[104,153],"mathematics,":[106],"statistics,":[107],"computer":[108],"science,":[109],"even":[111],"social":[112],"science.":[113],"Using":[114],"artificial":[115,146],"intelligence,":[116],"system":[118],"now":[119],"have":[120],"ability":[122],"interpret":[124],"external":[125],"data":[126,132,192,229],"correctly":[127],"learn":[129],"from":[130],"then":[134],"use":[135],"learning":[137,156],"achieve":[139],"certain":[140],"goals":[141],"through":[142],"flexible":[143],"adaptation.":[144],"fields":[148],"consists":[149],"branches,":[152],"machine":[155],"deep":[158,171],"learning.":[159],"Neural":[160,182],"Network":[161,183],"(NN)":[162],"methods":[167],"used":[168,189,244],"learning.NN":[172],"has":[173],"many":[174],"types,":[175],"which":[178],"Convolutional":[181],"(CNN).":[184],"CNN":[185,212,240],"best-knownmethod":[188],"for":[190,227,232,245],"processingimages":[191],"compared":[193,220],"other":[195,222],"types":[196,249],"NN.":[198],"Therefore,":[199],"this":[201,215],"study":[202],"identification":[204],"plants":[207,252],"was":[209],"carriedout":[210],"using":[211],"method.":[213],"From":[214],"study,better":[216],"results":[217],"were":[218],"obtained":[219,237],"methods,":[223],"obtaining":[224],"100%":[225],"accuracy":[226],"training":[228],"86,67%":[231],"testing":[233],"data.":[234],"model":[236],"method":[241],"be":[243],"detecting":[246],"3":[247],"different":[248],"diseases,":[253],"there":[254],"are":[255],"spots,":[257],"smuts,":[259],"blight":[263],"disease":[264],"based":[265],"on":[266],"physical":[268],"images":[269],"leaves.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-02-15T00:00:00"}