{"id":"https://openalex.org/W3168818015","doi":"https://doi.org/10.1109/indin45582.2020.9442092","title":"Recognition of Tea Diseases under Natural Background Based on Particle Swarm Optimization Algorithm Optimized Support Vector Machine","display_name":"Recognition of Tea Diseases under Natural Background Based on Particle Swarm Optimization Algorithm Optimized Support Vector Machine","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3168818015","doi":"https://doi.org/10.1109/indin45582.2020.9442092","mag":"3168818015"},"language":"en","primary_location":{"id":"doi:10.1109/indin45582.2020.9442092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086676023","display_name":"Xiuguo Zou","orcid":"https://orcid.org/0000-0002-8074-7555"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuguo Zou","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436770","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-6047-3710"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076023006","display_name":"Shuying Huang","orcid":"https://orcid.org/0000-0003-2771-8461"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuying Huang","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046259530","display_name":"Jiaping Wang","orcid":"https://orcid.org/0000-0002-8300-4992"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaping Wang","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004590352","display_name":"Heyang Yao","orcid":"https://orcid.org/0009-0009-1671-8977"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyang Yao","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017355991","display_name":"Yuanyuan Song","orcid":"https://orcid.org/0000-0003-0810-0930"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Song","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119454577"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12385","display_name":"Food Quality and Safety Studies","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9307000041007996,"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/support-vector-machine","display_name":"Support vector machine","score":0.7812772989273071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7065364122390747},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6938697099685669},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6045562624931335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5942121148109436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5168409943580627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5067077279090881},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5049965977668762},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48548319935798645},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43646252155303955}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7812772989273071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7065364122390747},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6938697099685669},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6045562624931335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5942121148109436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5168409943580627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5067077279090881},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5049965977668762},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48548319935798645},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43646252155303955},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin45582.2020.9442092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W154301606","https://openalex.org/W222298280","https://openalex.org/W1552536214","https://openalex.org/W1979073489","https://openalex.org/W2014408679","https://openalex.org/W2067924831","https://openalex.org/W2422526852","https://openalex.org/W2590235073","https://openalex.org/W2598138006","https://openalex.org/W2624699030","https://openalex.org/W2725676538","https://openalex.org/W2750013965","https://openalex.org/W2757245626","https://openalex.org/W2762999674","https://openalex.org/W2774462854","https://openalex.org/W6718091483","https://openalex.org/W6740434110","https://openalex.org/W7011956108","https://openalex.org/W7020687279"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W3193043704","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645"],"abstract_inverted_index":{"In":[0,152],"order":[1,153],"to":[2,30,50,67,139,154,164,176],"detect":[3],"tea":[4,24,195,211],"diseases":[5,25,196],"quickly":[6,188],"and":[7,21,41,60,86,117,143,146,192,200],"meet":[8],"the":[9,19,31,34,99,127,156,171,190,206],"needs":[10],"of":[11,23,75,83,88,130,174,194,210],"practical":[12],"production,":[13],"a":[14,202],"method":[15],"was":[16,39,167],"proposed":[17],"for":[18,205],"classification":[20,132,191],"identification":[22,193],"under":[26,197],"natural":[27,198],"conditions.":[28],"According":[29],"characteristic":[32],"factors,":[33],"foreground":[35],"main":[36],"blade":[37],"region":[38],"segmented,":[40],"then":[42],"an":[43,69],"improved":[44,170],"image":[45],"segmentation":[46],"algorithm":[47,133,163,186],"is":[48,134,137,150],"used":[49],"segment":[51],"each":[52],"color":[53],"component.":[54],"The":[55,91,123,178],"<tex":[56,61],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57,62],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\pmb{H},":[58],"\\pmb{a}^{*},$</tex>":[59],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\pmb{b}^{\\star}$</tex>":[63],"components":[64,95],"were":[65,78,96,107],"superimposed":[66],"obtain":[68],"ideal":[70],"lesion":[71,89],"area.":[72,90],"A":[73],"total":[74],"34":[76],"features":[77],"extracted":[79],"from":[80],"three":[81],"aspects":[82],"color,":[84],"shape,":[85],"texture":[87],"first":[92],"9":[93],"principal":[94,103],"selected":[97],"as":[98],"modeling":[100],"variables":[101],"by":[102,109],"component":[104],"analysis.":[105],"Diseases":[106],"classified":[108],"back":[110],"propagation":[111],"(BP)":[112],"neural":[113,141],"network,":[114],"random":[115,144],"forest,":[116,145],"support":[118],"vector":[119],"machine":[120],"(SVM),":[121],"respectively.":[122],"results":[124,180],"show":[125,181],"that":[126,182],"recognition":[128,157,172],"rate":[129,173],"SVM":[131,166,175,185],"87.3%,":[135],"which":[136,169],"superior":[138],"BP":[140],"network":[142],"its":[147],"operating":[148],"speed":[149],"faster.":[151],"improve":[155],"rate,":[158],"particle":[159],"swarm":[160],"optimization":[161],"(PSO)":[162],"optimize":[165],"proposed,":[168],"91.7%.":[177],"experimental":[179],"PSO":[183],"optimized":[184],"can":[187],"realize":[189],"background,":[199],"provide":[201],"valuable":[203],"reference":[204],"intelligent":[207],"agricultural":[208],"informatization":[209],"garden":[212],"agriculture.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}