{"id":"https://openalex.org/W2374658870","doi":"https://doi.org/10.1080/10798587.2015.1095474","title":"Classification of Orange Growing Locations Based on the Near-infrared Spectroscopy Using Data Mining","display_name":"Classification of Orange Growing Locations Based on the Near-infrared Spectroscopy Using Data Mining","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2374658870","doi":"https://doi.org/10.1080/10798587.2015.1095474","mag":"2374658870"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2015.1095474","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2015.1095474","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","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/A5028228096","display_name":"Songjian Dan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116144","display_name":"Chongqing University of Education","ror":"https://ror.org/02d06s578","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116144"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songjian Dan","raw_affiliation_strings":["College of Communication Engineering, Chongqing University, Chongqing, China; College of Continuing Education, Chongqing University of Education, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Chongqing University, Chongqing, China; College of Continuing Education, Chongqing University of Education, Chongqing, China","institution_ids":["https://openalex.org/I4210116144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029827598","display_name":"Simon X. Yang","orcid":"https://orcid.org/0000-0002-6888-7993"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Simon X. Yang","raw_affiliation_strings":["School of Engineering, University of Guelph,Guelph,Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph,Guelph,Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080909831","display_name":"Fengchun Tian","orcid":"https://orcid.org/0000-0002-5306-6690"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengchun Tian","raw_affiliation_strings":["[College of Communication Engineering, Chongqing University, Chongqing, China]"],"affiliations":[{"raw_affiliation_string":"[College of Communication Engineering, Chongqing University, Chongqing, China]","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044081761","display_name":"Lie Den","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210100403","display_name":"Citrus Research Institute","ror":"https://ror.org/00mc9zb90","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100403","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lie Den","raw_affiliation_strings":["Citrus Research Institute, Chinese Academy of Agricultural Sciences, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Citrus Research Institute, Chinese Academy of Agricultural Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I4210138501"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028228096"],"corresponding_institution_ids":["https://openalex.org/I4210116144"],"apc_list":null,"apc_paid":null,"fwci":0.47434559,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66579559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"2","first_page":"229","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8468002676963806},{"id":"https://openalex.org/keywords/orange","display_name":"Orange (colour)","score":0.7346844673156738},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.48211097717285156},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4656686782836914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39775723218917847},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38918033242225647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34588226675987244},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3252061605453491},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15153473615646362},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13022750616073608},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06235608458518982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468002676963806},{"id":"https://openalex.org/C83082669","wikidata":"https://www.wikidata.org/wiki/Q39338","display_name":"Orange (colour)","level":2,"score":0.7346844673156738},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.48211097717285156},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4656686782836914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39775723218917847},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38918033242225647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34588226675987244},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3252061605453491},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15153473615646362},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13022750616073608},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06235608458518982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2015.1095474","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2015.1095474","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W38651217","https://openalex.org/W1557919870","https://openalex.org/W1570448133","https://openalex.org/W1924689489","https://openalex.org/W1964146567","https://openalex.org/W1968759722","https://openalex.org/W1972600584","https://openalex.org/W1983277056","https://openalex.org/W1987406146","https://openalex.org/W1988411517","https://openalex.org/W1988930353","https://openalex.org/W1990581642","https://openalex.org/W2016717262","https://openalex.org/W2027168605","https://openalex.org/W2052468236","https://openalex.org/W2053784422","https://openalex.org/W2055636700","https://openalex.org/W2072103426","https://openalex.org/W2076805520","https://openalex.org/W2109676405","https://openalex.org/W2122111042","https://openalex.org/W2128876434","https://openalex.org/W2149706766","https://openalex.org/W2152623362","https://openalex.org/W2156909104","https://openalex.org/W2171693411","https://openalex.org/W2505312721","https://openalex.org/W3099514962","https://openalex.org/W4236137412","https://openalex.org/W4250857377","https://openalex.org/W4254734738"],"related_works":["https://openalex.org/W2750650774","https://openalex.org/W3181188404","https://openalex.org/W2992163415","https://openalex.org/W2496133747","https://openalex.org/W2061548706","https://openalex.org/W2370046686","https://openalex.org/W3089051975","https://openalex.org/W2330557927","https://openalex.org/W4242085675","https://openalex.org/W2268252167"],"abstract_inverted_index":{"AbstractThe":[0],"classification":[1,54,124],"of":[2,21,28,107,140,145],"growing":[3],"locations":[4],"is":[5,16],"very":[6],"important":[7],"for":[8],"quality":[9],"control":[10],"in":[11,119,154],"the":[12,58,70,78,93,105,137],"orange":[13],"industries,":[14],"which":[15,133],"also":[17,101],"challenging":[18],"work,":[19],"because":[20],"its":[22],"complex":[23],"chemical":[24],"composition":[25],"and":[26,30,44,83,116,148],"varies":[27],"taste":[29],"sizes.":[31],"The":[32,122],"traditional":[33],"ways":[34],"to":[35,91,103],"classify":[36],"them":[37],"by":[38,77],"human\u2019s":[39],"sense":[40],"are":[41],"time":[42],"consuming":[43],"at":[45],"high":[46],"cost.":[47],"In":[48],"this":[49,120],"paper,":[50],"a":[51],"new":[52],"general":[53],"framework":[55,125],"based":[56],"on":[57,128],"Near-Infrared":[59],"Reflection":[60],"(NIR)":[61],"spectroscopy":[62],"using":[63],"data":[64,74],"mining":[65],"technology":[66],"was":[67,89,100,126],"proposed.":[68],"First,":[69],"raw":[71],"NIR":[72,130],"spectra":[73,131],"were":[75,134],"reduced":[76],"principal":[79],"components":[80],"analysis":[81],"(PCA),":[82],"then":[84],"an":[85],"attribution":[86],"selection":[87],"method":[88],"applied":[90],"find":[92],"best":[94],"feature":[95],"subset.":[96],"An":[97],"evolution":[98],"process":[99],"introduced":[102],"test":[104],"performance":[106],"five":[108],"classifiers":[109],"(Decision":[110],"Tree,":[111],"KNN,":[112],"Naive":[113],"Bayesian,":[114],"SVM":[115],"ANN)":[117],"used":[118],"paper.":[121],"proposed":[123],"verified":[127],"three":[129],"datasets,":[132],"collected":[135],"from":[136,150],"different":[138,152],"part":[139],"oranges":[141],"(including":[142],"two":[143],"parts":[144],"fruit":[146],"surface":[147],"juice)":[149],"15":[151],"places":[153],"china.":[155],"The...":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}