{"id":"https://openalex.org/W2909139008","doi":"https://doi.org/10.3233/jifs-169911","title":"A study on plant recognition using conventional image processing and deep learning approaches","display_name":"A study on plant recognition using conventional image processing and deep learning approaches","publication_year":2019,"publication_date":"2019-01-18","ids":{"openalex":"https://openalex.org/W2909139008","doi":"https://doi.org/10.3233/jifs-169911","mag":"2909139008"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169911","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169911","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5015086258","display_name":"S. Anubha Pearline","orcid":"https://orcid.org/0000-0003-0023-5523"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]},{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Anubha Pearline","raw_affiliation_strings":["Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India","institution_ids":["https://openalex.org/I24676775","https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012235493","display_name":"V. Sathiesh Kumar","orcid":"https://orcid.org/0000-0002-0269-2333"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]},{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Sathiesh Kumar","raw_affiliation_strings":["Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India","institution_ids":["https://openalex.org/I24676775","https://openalex.org/I33585257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028621624","display_name":"Sri Harini","orcid":"https://orcid.org/0000-0001-9664-027X"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]},{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Harini","raw_affiliation_strings":["Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai, India","institution_ids":["https://openalex.org/I24676775","https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015086258"],"corresponding_institution_ids":["https://openalex.org/I24676775","https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":15.6494,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.98953299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"3","first_page":"1997","last_page":"2004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9772999882698059,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9686999917030334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8276122212409973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7333597540855408},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6878604292869568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6243031620979309},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5749562978744507},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5519376397132874},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5141089558601379},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.508649468421936},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.501549482345581},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4775472581386566}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8276122212409973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7333597540855408},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6878604292869568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243031620979309},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5749562978744507},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5519376397132874},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5141089558601379},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.508649468421936},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.501549482345581},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4775472581386566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169911","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169911","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W645748567","https://openalex.org/W1181899764","https://openalex.org/W1549998098","https://openalex.org/W1686810756","https://openalex.org/W1705245392","https://openalex.org/W1858660163","https://openalex.org/W1968896562","https://openalex.org/W2012358566","https://openalex.org/W2039051707","https://openalex.org/W2044465660","https://openalex.org/W2050480977","https://openalex.org/W2081072138","https://openalex.org/W2096038174","https://openalex.org/W2159498975","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2329906403","https://openalex.org/W2483836305","https://openalex.org/W2520364485","https://openalex.org/W2579348194","https://openalex.org/W2616728375","https://openalex.org/W2617703913","https://openalex.org/W2618747515","https://openalex.org/W2760244101","https://openalex.org/W2766420441","https://openalex.org/W2790299291","https://openalex.org/W2964350391","https://openalex.org/W6637493075","https://openalex.org/W6687483927","https://openalex.org/W6694260854","https://openalex.org/W6738701481","https://openalex.org/W6744854290"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W4379620016","https://openalex.org/W3154045278","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W4382052559","https://openalex.org/W3036529732"],"abstract_inverted_index":{"Plant":[0],"species":[1,27,108],"recognition":[2,28,153],"from":[3],"images":[4],"or":[5],"videos":[6],"is":[7,29,48,123,126,184,205],"challenging":[8],"due":[9],"to":[10,224],"a":[11,151,202,219],"large":[12,212],"diversity":[13],"of":[14,106,138,156,172,179],"plants,":[15],"variation":[16],"in":[17,103,129,150,169],"orientation,":[18],"viewpoint,":[19],"background":[20],"clutter,":[21],"etc.":[22],"In":[23,42],"this":[24],"paper,":[25],"plant":[26,107,152],"carried":[30,49],"out":[31,50],"using":[32,51,75,193],"two":[33],"approaches,":[34],"namely,":[35],"traditional":[36,130,225],"method":[37],"and":[38,64,84,93,116,118,182,189],"deep":[39,98],"learning":[40,99],"approach.":[41],"tr":[43],"aditional":[44],"method,":[45,131],"feature":[46,132],"extraction":[47],"Hu":[52],"moments":[53],"(shape":[54],"features),":[55],"Haralick":[56],"texture,":[57],"local":[58],"binary":[59],"pattern":[60],"(LBP)":[61],"(texture":[62],"features)":[63],"color":[65,139],"channel":[66,140],"statistics":[67],"(color":[68],"features).":[69],"The":[70],"extracted":[71],"features":[72],"are":[73,101],"classified":[74],"different":[76,97],"classifiers":[77],"(linear":[78],"discriminant":[79],"analysis,":[80],"logistic":[81,166,199],"regression,":[82],"classification":[83],"regression":[85,167,200],"tree,":[86],"na\u00efve":[87],"Bayes,":[88],"k-nearest":[89],"neighbor,":[90],"random":[91],"forest":[92],"bagging":[94],"classifier).":[95],"Also,":[96],"architectures":[100],"tested":[102],"the":[104,136,209],"context":[105],"recognition.":[109],"Three":[110],"standard":[111],"datasets":[112,192],"(Folio,":[113],"Swedish":[114,190],"leaf":[115,191],"Flavia)":[117],"one":[119],"real-time":[120],"dataset":[121,148],"(Leaf12)":[122],"used.":[124],"It":[125,204],"observed":[127,207],"that,":[128],"vector":[133],"obtained":[134,185],"by":[135],"combination":[137],"statistics+LBP+Hu+Haralick":[141],"with":[142,165,198],"Random":[143],"Forest":[144],"classifier":[145],"for":[146,174,186],"Leaf12":[147,175],"resulted":[149,168],"accuracy":[154,171,178,221],"(rank-1)":[155],"82.38%.":[157],"VGG":[158,194,210],"16":[159],"Convolutional":[160,213],"Neural":[161,214],"Network":[162],"(CNN)":[163],"architecture":[164,197],"an":[170],"97.14%":[173],"dataset.":[176],"An":[177],"96.53%,":[180],"96.25%":[181],"99.41%":[183],"Folio,":[187],"Flavia":[188],"19":[195],"CNN":[196,216],"as":[201],"classifier.":[203],"also":[206],"that":[208],"(Very":[211],"Network)":[215],"models":[217],"provided":[218],"higher":[220],"rate":[222],"compared":[223],"methods.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
