{"id":"https://openalex.org/W2794138573","doi":"https://doi.org/10.3233/his-180248","title":"Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model","display_name":"Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model","publication_year":2018,"publication_date":"2018-01-19","ids":{"openalex":"https://openalex.org/W2794138573","doi":"https://doi.org/10.3233/his-180248","mag":"2794138573"},"language":"en","primary_location":{"id":"doi:10.3233/his-180248","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-180248","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"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":"International Journal of Hybrid Intelligent 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/A5045986527","display_name":"Heba F. Eid","orcid":"https://orcid.org/0000-0001-5810-7423"},"institutions":[{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Heba F. Eid","raw_affiliation_strings":["Faculty of Science, Al-Azhar University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Al-Azhar University, Cairo, Egypt","institution_ids":["https://openalex.org/I184834183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738"},"institutions":[{"id":"https://openalex.org/I4210107658","display_name":"Machine Intelligence Research Labs","ror":"https://ror.org/013kgb629","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210107658"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["Machine Intelligence Research Labs, MIR Labs, Auburn, WA, USA"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Labs, MIR Labs, Auburn, WA, USA","institution_ids":["https://openalex.org/I4210107658"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045986527"],"corresponding_institution_ids":["https://openalex.org/I184834183"],"apc_list":null,"apc_paid":null,"fwci":5.2801,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9472516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"3","first_page":"155","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9959999918937683,"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":0.9959999918937683,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9430999755859375,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9296000003814697,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7255263328552246},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6362654566764832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289688348770142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5947638750076294},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5917218327522278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617679953575134},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5587998628616333},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.53070467710495},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42509520053863525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3636881709098816},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.12784472107887268},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10637801885604858}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7255263328552246},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6362654566764832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289688348770142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5947638750076294},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5917218327522278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617679953575134},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5587998628616333},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.53070467710495},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42509520053863525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3636881709098816},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.12784472107887268},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10637801885604858}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-180248","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-180248","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"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":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W87083885","https://openalex.org/W1181899764","https://openalex.org/W1444952417","https://openalex.org/W1605858995","https://openalex.org/W1858660163","https://openalex.org/W1968896562","https://openalex.org/W1977140987","https://openalex.org/W2030432742","https://openalex.org/W2045947690","https://openalex.org/W2061438946","https://openalex.org/W2087049404","https://openalex.org/W2087347434","https://openalex.org/W2109169458","https://openalex.org/W2109364787","https://openalex.org/W2116850883","https://openalex.org/W2122641940","https://openalex.org/W2124258777","https://openalex.org/W2126357415","https://openalex.org/W2163810466","https://openalex.org/W2165966284","https://openalex.org/W2277827196","https://openalex.org/W2338873322","https://openalex.org/W2497462452","https://openalex.org/W2735177336","https://openalex.org/W2738403383","https://openalex.org/W2749588515","https://openalex.org/W6679118146","https://openalex.org/W6723898812","https://openalex.org/W6741541805"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2099369243","https://openalex.org/W2345184372","https://openalex.org/W2120008580","https://openalex.org/W4223656335","https://openalex.org/W3194539120","https://openalex.org/W2754350655","https://openalex.org/W2160451891","https://openalex.org/W2041636156","https://openalex.org/W4242764575"],"abstract_inverted_index":{"The":[0,96,119],"classification":[1],"of":[2,76],"plants":[3],"species":[4,16],"is":[5,55,70,88],"a":[6,18,28,58],"crucial":[7],"process":[8],"in":[9],"some":[10],"agricultural-based":[11],"industries.":[12],"However,":[13],"different":[14,93],"plant":[15,29,94],"share":[17],"very":[19],"close":[20],"relationship":[21],"to":[22,72,90,100,128,134],"human":[23],"beings.":[24],"This":[25],"paper":[26],"proposes":[27],"identification":[30,103,131],"model":[31,98,126],"based":[32],"on":[33,111],"leaf":[34,62,78],"biometrics":[35],"(shape,":[36],"texture":[37,79],"and":[38,114,136,141],"color)":[39],"hybrid":[40],"with":[41],"two":[42],"mos":[43],"t":[44],"recent":[45],"swarm":[46],"optimization":[47],"algorithms.":[48],"For":[49],"which,":[50],"particle":[51],"Swarm":[52],"Optimization":[53],"(PSO)":[54],"adopted":[56],"as":[57],"pre-processing":[59],"phase":[60],"for":[61,138],"image":[63],"segmentation.":[64],"While,":[65],"Grey":[66],"Wolf":[67],"Optimizer":[68],"(GWO)":[69],"obtained":[71],"reduce":[73],"the":[74,77,82,92,124,130,147,151],"dimension":[75],"descriptors.":[80,108],"Finally,":[81],"dual":[83],"coordinate":[84],"descent":[85],"L2-SVM":[86],"classifier":[87],"used":[89],"classify":[91],"species.":[95],"proposed":[97,125],"aims":[99],"achieve":[101],"high":[102],"accuracy":[104],"using":[105],"less":[106],"leaf\u2019s":[107],"Several":[109],"experiments":[110],"Flavia":[112,140],"dataset":[113,116,143],"swedish":[115],"are":[117,146],"conducted.":[118],"experimental":[120],"analysis":[121],"showed":[122],"that,":[123],"yields":[127],"improve":[129],"rate":[132],"up":[133],"98.9%":[135],"93.3%":[137],"both":[139],"Swedish":[142],"respectively,":[144],"which":[145],"improved":[148],"values":[149],"over":[150],"literature.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
