{"id":"https://openalex.org/W2770298279","doi":"https://doi.org/10.1109/kse.2017.8119457","title":"Plant identification using score-based fusion of multi-organ images","display_name":"Plant identification using score-based fusion of multi-organ images","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2770298279","doi":"https://doi.org/10.1109/kse.2017.8119457","mag":"2770298279"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2017.8119457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2017.8119457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-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/A5027687043","display_name":"Thanh-Binh Do","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Binh Do","raw_affiliation_strings":["HUST, School of Information and Communication Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST, School of Information and Communication Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020911451","display_name":"Huy-Hoang Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huy-Hoang Nguyen","raw_affiliation_strings":["HUST, School of Information and Communication Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST, School of Information and Communication Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033505203","display_name":"Thi-Thanh-Nhan Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115718","display_name":"Thai Nguyen University","ror":"https://ror.org/02128gy91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210115718"]},{"id":"https://openalex.org/I4405263268","display_name":"Thai Nguyen University of Information and Communication Technology","ror":"https://ror.org/04gv3mr75","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405263268"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Thanh-Nhan Nguyen","raw_affiliation_strings":["HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam","The University of Information and Communication Technology under Thai Nguyen University, ThaiNguyen, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam","institution_ids":[]},{"raw_affiliation_string":"The University of Information and Communication Technology under Thai Nguyen University, ThaiNguyen, Vietnam","institution_ids":["https://openalex.org/I4210115718","https://openalex.org/I4405263268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007554071","display_name":"Hai Vu","orcid":"https://orcid.org/0000-0003-2880-4417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hai Vu","raw_affiliation_strings":["HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111821463","display_name":"Thi-Thanh-Hai Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thi-Thanh-Hai Tran","raw_affiliation_strings":["HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067859504","display_name":"Thi\u2010Lan Le","orcid":"https://orcid.org/0000-0001-9541-3905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thi-Lan Le","raw_affiliation_strings":["HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST - CNRS/UMI-2954 - GRENOBLE INP, International Research Institute MICA, Hanoi, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5453,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92859383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9803000092506409,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9779000282287598,"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/fusion","display_name":"Fusion","score":0.6408421993255615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6290952563285828},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6145049333572388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6109923720359802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6044260263442993},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5949440598487854},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.546436071395874},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5342736840248108},{"id":"https://openalex.org/keywords/plant-identification","display_name":"Plant identification","score":0.5301172733306885},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4557083249092102},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.447075754404068},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4244336485862732},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3598174452781677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22002968192100525},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.14086687564849854},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08420643210411072}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6408421993255615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290952563285828},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6145049333572388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6109923720359802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6044260263442993},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5949440598487854},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.546436071395874},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5342736840248108},{"id":"https://openalex.org/C2776091240","wikidata":"https://www.wikidata.org/wiki/Q106238460","display_name":"Plant identification","level":2,"score":0.5301172733306885},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4557083249092102},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.447075754404068},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4244336485862732},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3598174452781677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22002968192100525},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.14086687564849854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08420643210411072},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse.2017.8119457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2017.8119457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1563697767","https://openalex.org/W1585588639","https://openalex.org/W1590290399","https://openalex.org/W1968896562","https://openalex.org/W2003400461","https://openalex.org/W2005262108","https://openalex.org/W2030432742","https://openalex.org/W2037146261","https://openalex.org/W2076613977","https://openalex.org/W2078165051","https://openalex.org/W2081569112","https://openalex.org/W2084300630","https://openalex.org/W2098205315","https://openalex.org/W2117539524","https://openalex.org/W2133640696","https://openalex.org/W2163605009","https://openalex.org/W2200812170","https://openalex.org/W2213241010","https://openalex.org/W2295588127","https://openalex.org/W2340341936","https://openalex.org/W2579348194","https://openalex.org/W2586935022","https://openalex.org/W2602132298","https://openalex.org/W2963801405","https://openalex.org/W4302092261","https://openalex.org/W6684191040","https://openalex.org/W6697507220","https://openalex.org/W6732285316","https://openalex.org/W6733482690"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,16,38,69,78,90,134],"fusion":[4,53,80,120,147],"technique":[5,148],"for":[6,33,139,149],"species":[7,97],"identification":[8],"from":[9,101],"images":[10,94],"of":[11,18,51,86,93,95,118,125,133],"different":[12],"plant":[13],"organs.":[14,127],"Given":[15],"series":[17],"image":[19],"organs":[20],"such":[21],"as":[22],"branch,":[23],"entire,":[24],"flower":[25,140],"or":[26],"leaf,":[27],"we":[28,47,76],"firstly":[29],"extract":[30],"confidence":[31],"scores":[32],"each":[34],"single":[35,135],"organ":[36,136],"using":[37],"state-of-the-art":[39],"deep":[40],"convolutional":[41],"neural":[42],"network":[43],"(CNN).":[44],"After":[45],"that,":[46],"deploy":[48],"various":[49],"schemes":[50],"the":[52,84,87,109,115,119,130,153],"approaches":[54,60],"including":[55],"not":[56],"only":[57],"conventional":[58],"transformation-based":[59],"(sum":[61],"rule,":[62,64],"max":[63],"product":[65],"rule)":[66],"but":[67],"also":[68],"classification-based":[70],"approach":[71],"(support":[72],"vector":[73],"machine).":[74],"Then":[75],"proposed":[77,146],"hybrid":[79],"model.":[81],"To":[82],"measure":[83],"performances":[85],"combination":[88],"schemes,":[89],"large":[91],"number":[92],"50":[96],"which":[98],"are":[99],"collected":[100],"two":[102],"main":[103],"resources:":[104],"PlantCLEF":[105],"2015":[106],"dataset":[107],"and":[108,151],"Internet":[110],"resources.":[111],"The":[112],"experiment":[113],"exhibits":[114],"dominant":[116],"results":[117],"techniques":[121],"compared":[122],"with":[123],"those":[124],"individual":[126],"At":[128],"rank-1,":[129],"highest":[131],"accuracy":[132,154],"is":[137],"73.0%":[138],"images,":[141],"whereas":[142],"by":[143],"applying":[144],"our":[145],"leaf":[150],"flower,":[152],"reaches":[155],"to":[156],"89.8%.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}