{"id":"https://openalex.org/W2991587282","doi":"https://doi.org/10.1109/bigdata47090.2019.9006567","title":"AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis","display_name":"AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2991587282","doi":"https://doi.org/10.1109/bigdata47090.2019.9006567","mag":"2991587282"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.10727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028034735","display_name":"Takumi Saikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takumi Saikawa","raw_affiliation_strings":["Applied Informatics, Hosei University, Tokyo, Japan","Hosei university"],"affiliations":[{"raw_affiliation_string":"Applied Informatics, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Hosei university","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073836268","display_name":"Quan Huu","orcid":"https://orcid.org/0000-0002-4112-9228"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Quan Huu Cap","raw_affiliation_strings":["Applied Informatics, Hosei University, Tokyo, Japan","Hosei university"],"affiliations":[{"raw_affiliation_string":"Applied Informatics, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Hosei university","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090388479","display_name":"Satoshi Kagiwada","orcid":"https://orcid.org/0000-0002-0401-8406"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Kagiwada","raw_affiliation_strings":["Clinical Plant Science, Hosei University, Tokyo, Japan","Hosei university"],"affiliations":[{"raw_affiliation_string":"Clinical Plant Science, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Hosei university","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002812179","display_name":"Hiroyuki Uga","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119059","display_name":"Saitama Prefectural Industrial Technology Center","ror":"https://ror.org/01rtzrs77","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210119059"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Uga","raw_affiliation_strings":["Saitama Agricultural Technology Research Center, Saitama, Japan","Saitama Agricultural Technology Research Center,Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Saitama Agricultural Technology Research Center, Saitama, Japan","institution_ids":["https://openalex.org/I4210119059"]},{"raw_affiliation_string":"Saitama Agricultural Technology Research Center,Saitama,Japan","institution_ids":["https://openalex.org/I4210119059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023899090","display_name":"Hitoshi Iyatomi","orcid":"https://orcid.org/0000-0003-4108-4178"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Iyatomi","raw_affiliation_strings":["Applied Informatics, Hosei University, Tokyo, Japan","Hosei university"],"affiliations":[{"raw_affiliation_string":"Applied Informatics, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Hosei university","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028034735"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.2908,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75577222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5177","last_page":"5182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9641000032424927,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.9905333518981934},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.8726467490196228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339305877685547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592618227005005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6221681833267212},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5051828026771545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49213165044784546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47231289744377136},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4662054777145386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37333035469055176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3608320951461792},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18541482090950012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16278955340385437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07851353287696838}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9905333518981934},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8726467490196228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339305877685547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592618227005005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6221681833267212},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5051828026771545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49213165044784546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47231289744377136},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4662054777145386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37333035469055176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3608320951461792},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18541482090950012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16278955340385437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07851353287696838},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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":4,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.10727","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.10727","pdf_url":"https://arxiv.org/pdf/1911.10727","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1911.10727","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.10727","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2991587282","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.10727","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.10727","pdf_url":"https://arxiv.org/pdf/1911.10727","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991587282.pdf","grobid_xml":"https://content.openalex.org/works/W2991587282.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1980287119","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2339460098","https://openalex.org/W2403813860","https://openalex.org/W2470368200","https://openalex.org/W2473156356","https://openalex.org/W2535388113","https://openalex.org/W2584792494","https://openalex.org/W2613718673","https://openalex.org/W2733343268","https://openalex.org/W2753403518","https://openalex.org/W2758216428","https://openalex.org/W2758893285","https://openalex.org/W2899816053","https://openalex.org/W2900232012","https://openalex.org/W2962858109","https://openalex.org/W2963073614","https://openalex.org/W2964121744","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6703892329","https://openalex.org/W6713058582","https://openalex.org/W6729060410"],"related_works":["https://openalex.org/W2409149208","https://openalex.org/W1487831638","https://openalex.org/W1552511023","https://openalex.org/W2016974309","https://openalex.org/W1992974059","https://openalex.org/W3125457653","https://openalex.org/W1512315936","https://openalex.org/W3018475622","https://openalex.org/W3185138919","https://openalex.org/W3120834955","https://openalex.org/W2789271556","https://openalex.org/W3146537930","https://openalex.org/W2920763258","https://openalex.org/W2889979375","https://openalex.org/W3022396371","https://openalex.org/W3165324561","https://openalex.org/W3112742529","https://openalex.org/W2172611079","https://openalex.org/W3202219382","https://openalex.org/W3153852854"],"abstract_inverted_index":{"In":[0,85],"image-based":[1,111],"plant":[2,112],"diagnosis,":[3],"clues":[4],"related":[5],"to":[6,33,75],"diagnosis":[7,113,145],"are":[8],"often":[9,19,39],"unclear,":[10],"and":[11,41,102,125],"the":[12,25,37,42,76,80,83,118,142],"other":[13,52],"factors":[14],"such":[15],"as":[16,129],"image":[17],"backgrounds":[18],"have":[20,69],"a":[21,29,130,156],"significant":[22],"impact":[23],"on":[24,45],"final":[26],"decision.":[27],"As":[28],"result,":[30],"overfitting":[31],"due":[32,74],"latent":[34],"similarities":[35,81],"in":[36,82,155],"dataset":[38],"occurs,":[40],"diagnostic":[43,72],"performance":[44,73],"real":[46],"unseen":[47],"data":[48],"(e,g.":[49],"images":[50,98,149],"from":[51,150],"farms)":[53],"is":[54],"usually":[55],"dropped":[56],"significantly.":[57],"However,":[58],"this":[59,86,90],"problem":[60,91],"has":[61],"not":[62],"been":[63],"sufficiently":[64],"explored,":[65],"since":[66],"many":[67],"systems":[68],"shown":[70],"excellent":[71],"bias":[77],"caused":[78],"by":[79,153],"dataset.":[84],"study,":[87],"we":[88],"investigate":[89],"with":[92],"experiments":[93],"using":[94],"more":[95],"than":[96],"50,000":[97],"of":[99,120,144],"cucumber":[100],"leaves,":[101],"propose":[103],"an":[104],"anti-overfitting":[105],"pretreatment":[106],"(AOP)":[107],"for":[108,146],"realizing":[109],"practical":[110,157],"systems.":[114],"The":[115,133],"AOP":[116,139],"detects":[117],"area":[119],"interest":[121],"(leaf,":[122],"fruit":[123],"etc.)":[124],"performs":[126],"brightness":[127],"calibration":[128],"preprocessing":[131],"step.":[132],"experimental":[134],"results":[135],"demonstrate":[136],"that":[137],"our":[138],"can":[140],"improve":[141],"accuracy":[143],"unknown":[147],"test":[148],"different":[151],"farms":[152],"12.2%":[154],"setting.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-26T00:00:00"}
