{"id":"https://openalex.org/W3000197790","doi":"https://doi.org/10.1109/ic3ina48034.2019.8949580","title":"Multi-Condition Training on Deep Convolutional Neural Networks for Robust Plant Diseases Detection","display_name":"Multi-Condition Training on Deep Convolutional Neural Networks for Robust Plant Diseases Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000197790","doi":"https://doi.org/10.1109/ic3ina48034.2019.8949580","mag":"3000197790"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ina48034.2019.8949580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina48034.2019.8949580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","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/A5027991856","display_name":"R. Sandra Yuwana","orcid":"https://orcid.org/0000-0003-4046-251X"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"R. Sandra Yuwana","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080900776","display_name":"Endang Suryawati","orcid":"https://orcid.org/0000-0001-9254-095X"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Endang Suryawati","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010533917","display_name":"Vicky Zilvan","orcid":"https://orcid.org/0000-0001-7896-5804"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Vicky Zilvan","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102841092","display_name":"Ade Ramdan","orcid":"https://orcid.org/0000-0002-1043-1600"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ade Ramdan","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018559332","display_name":"Hilman F. Pardede","orcid":"https://orcid.org/0000-0001-8078-7592"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hilman F. Pardede","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029432385","display_name":"Fani Fauziah","orcid":"https://orcid.org/0000-0002-8708-570X"},"institutions":[{"id":"https://openalex.org/I4210126772","display_name":"Indonesian Agency for Agricultural Research and Development","ror":"https://ror.org/038v7z909","country_code":"ID","type":"facility","lineage":["https://openalex.org/I4210126772"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Fani Fauziah","raw_affiliation_strings":["Research Institute for Tea and Cinchona, Indonesian Agency for Agricultural Research and Development"],"affiliations":[{"raw_affiliation_string":"Research Institute for Tea and Cinchona, Indonesian Agency for Agricultural Research and Development","institution_ids":["https://openalex.org/I4210126772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027991856"],"corresponding_institution_ids":["https://openalex.org/I19128659"],"apc_list":null,"apc_paid":null,"fwci":2.3147,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89679255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"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":0.9995999932289124,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9409999847412109,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8536823987960815},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8414791822433472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8379430770874023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7740329504013062},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.695358395576477},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6388610005378723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5347522497177124},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4985675811767578},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4759487807750702},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42980819940567017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34434226155281067}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8536823987960815},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8414791822433472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379430770874023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7740329504013062},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.695358395576477},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6388610005378723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5347522497177124},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4985675811767578},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4759487807750702},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42980819940567017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34434226155281067},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ina48034.2019.8949580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina48034.2019.8949580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1928278792","https://openalex.org/W1989314204","https://openalex.org/W2062164080","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2136439176","https://openalex.org/W2140595311","https://openalex.org/W2145094598","https://openalex.org/W2163605009","https://openalex.org/W2406395231","https://openalex.org/W2473156356","https://openalex.org/W2568155635","https://openalex.org/W2666784499","https://openalex.org/W2898111068","https://openalex.org/W2905583750","https://openalex.org/W2913556034","https://openalex.org/W2919115771","https://openalex.org/W2923504698","https://openalex.org/W2927163560","https://openalex.org/W2962782553","https://openalex.org/W2963291921","https://openalex.org/W2997574889","https://openalex.org/W6681096077","https://openalex.org/W6684191040","https://openalex.org/W6713954808","https://openalex.org/W6755893048"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4377865163","https://openalex.org/W3193857078"],"abstract_inverted_index":{"Currently,":[0],"deep":[1,14,62,95],"learning":[2,15,96],"has":[3],"become":[4],"prominent":[5],"technology":[6],"for":[7],"many":[8,34],"computer":[9],"vision":[10],"tasks.":[11],"However,":[12],"while":[13],"achieves":[16],"satisfactory":[17],"performance":[18],"when":[19,29],"evaluated":[20,80],"with":[21,51,74,104],"data":[22,30,44,73],"from":[23],"identical":[24],"distributions,":[25],"it":[26,36],"still":[27],"suffers":[28],"are":[31],"distorted.":[32],"In":[33],"cases,":[35],"would":[37],"be":[38],"difficult":[39],"and":[40,98],"costly":[41],"to":[42,58,102],"collect":[43],"on":[45,83],"all":[46],"possible":[47,76],"conditions.":[48,78],"To":[49],"deal":[50,103],"it,":[52],"we":[53],"propose":[54],"Multi-condition":[55],"training":[56],"(MCT)":[57],"train":[59],"more":[60,93],"robust":[61,94],"convolutional":[63],"neural":[64],"networks.":[65],"MCT":[66,91],"works":[67],"by":[68],"corrupting":[69],"the":[70,81],"existing":[71],"\u201cideal\u201d":[72],"various":[75],"environmental":[77],"We":[79],"method":[82],"tea":[84],"diseases":[85],"dataset.":[86],"Our":[87],"results":[88],"confirms":[89],"that":[90],"produces":[92],"systems":[97],"is":[99],"shown":[100],"effective":[101],"distorted":[105],"images.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}