{"id":"https://openalex.org/W4404454098","doi":"https://doi.org/10.1016/j.ecoinf.2024.102899","title":"PlantView: Integrating deep learning with 3D modeling for indoor plant augmentation","display_name":"PlantView: Integrating deep learning with 3D modeling for indoor plant augmentation","publication_year":2024,"publication_date":"2024-11-17","ids":{"openalex":"https://openalex.org/W4404454098","doi":"https://doi.org/10.1016/j.ecoinf.2024.102899"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2024.102899","doi":"https://doi.org/10.1016/j.ecoinf.2024.102899","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2024.102899","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2024.102899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058199474","display_name":"Sitara Afzal","orcid":"https://orcid.org/0000-0003-3370-8331","observed_orcids":["https://orcid.org/0000-0003-3370-8331"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sitara Afzal","raw_affiliation_strings":["Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024372149","display_name":"H.A. Khan","orcid":"https://orcid.org/0009-0008-0736-7776","observed_orcids":["https://orcid.org/0009-0008-0736-7776"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haseeb Ali Khan","raw_affiliation_strings":["Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048935590","display_name":"Jong Weon Lee","orcid":"https://orcid.org/0000-0001-9425-2601","observed_orcids":["https://orcid.org/0000-0001-9425-2601","https://orcid.org/0000-0003-0361-5986"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong Weon Lee","raw_affiliation_strings":["Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mixed Reality and Interaction Lab, Department of Software, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048935590"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.8298,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68154517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"84","issue":null,"first_page":"102899","last_page":"102899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.5054000020027161,"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":0.5054000020027161,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.47119998931884766,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.005799999926239252,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plant-species-classification","display_name":"plant species classification","score":0.9729999899864197},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"augmented reality","score":0.8679999709129333},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7590000033378601},{"id":"https://openalex.org/keywords/plant-growth-stages","display_name":"plant growth stages","score":0.7680000066757202},{"id":"https://openalex.org/keywords/illumination-variation","display_name":"illumination variation","score":0.5789999961853027},{"id":"https://openalex.org/keywords/indoor-plant-care","display_name":"indoor plant care","score":0.9120000004768372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320685744285583},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5048595070838928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.432597279548645},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34343206882476807}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ecoinf.2024.102899","doi":"https://doi.org/10.1016/j.ecoinf.2024.102899","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2024.102899","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8f20329d8043462d8d17be8a0b038379","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/8f20329d8043462d8d17be8a0b038379","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics, Vol 84, Iss , Pp 102899- (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2024.102899","doi":"https://doi.org/10.1016/j.ecoinf.2024.102899","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2024.102899","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1146729157","https://openalex.org/W1556850077","https://openalex.org/W2006984281","https://openalex.org/W2030432742","https://openalex.org/W2163605009","https://openalex.org/W2295691098","https://openalex.org/W2338316711","https://openalex.org/W2470803522","https://openalex.org/W2513370137","https://openalex.org/W2520364485","https://openalex.org/W2579348194","https://openalex.org/W2612445135","https://openalex.org/W2616728375","https://openalex.org/W2775145835","https://openalex.org/W2789621530","https://openalex.org/W2790757012","https://openalex.org/W2793323033","https://openalex.org/W2804733524","https://openalex.org/W2807862495","https://openalex.org/W2809518184","https://openalex.org/W2920957434","https://openalex.org/W2977685131","https://openalex.org/W2981769144","https://openalex.org/W2983489659","https://openalex.org/W3031779150","https://openalex.org/W3110256691","https://openalex.org/W3153539210","https://openalex.org/W3163795972","https://openalex.org/W3187838195","https://openalex.org/W3208261418","https://openalex.org/W3208745718","https://openalex.org/W4200056843","https://openalex.org/W4200540361","https://openalex.org/W4206103951","https://openalex.org/W4206153080","https://openalex.org/W4206165537","https://openalex.org/W4206637266","https://openalex.org/W4210818508","https://openalex.org/W4234859784","https://openalex.org/W4235806039","https://openalex.org/W4247507367","https://openalex.org/W4254390897","https://openalex.org/W4280646165","https://openalex.org/W4289890633","https://openalex.org/W4297974895","https://openalex.org/W4361857295","https://openalex.org/W4362640938","https://openalex.org/W4365800037","https://openalex.org/W4382278644","https://openalex.org/W4383613941","https://openalex.org/W4394997567","https://openalex.org/W4398141897","https://openalex.org/W4399564323","https://openalex.org/W4400275762","https://openalex.org/W4403598989"],"related_works":["https://openalex.org/W3184991012","https://openalex.org/W2909139008","https://openalex.org/W4285122059","https://openalex.org/W4410228710","https://openalex.org/W7164131202","https://openalex.org/W3216129942","https://openalex.org/W4297312203","https://openalex.org/W4410470746","https://openalex.org/W7149474477","https://openalex.org/W4405668660"],"abstract_inverted_index":{"Indoor":[0],"plant":[1,13,28,44,98,115,135,198,208,220,250,267],"recognition":[2,41,199,251],"poses":[3],"significant":[4],"challenges":[5],"due":[6],"to":[7,27,33,111,233],"the":[8,19,39,47,97,161,235],"variability":[9],"in":[10,22,104,269,292,299],"lighting":[11,144,285],"conditions,":[12],"species,":[14,45],"and":[15,66,146,170,181,210,222,242,252,284,294,303],"growth":[16,139,282],"stages.":[17],"Despite":[18],"growing":[20],"interest":[21],"applying":[23],"deep":[24],"learning":[25],"techniques":[26,228],"data,":[29],"there":[30],"still":[31],"needs":[32],"be":[34],"more":[35],"research":[36,213],"focused":[37],"on":[38],"automatic":[40],"of":[42,68,132,156,163,278],"indoor":[43,69,197,207,219,237,249],"highlighting":[46],"need":[48],"for":[49,63,85,195,205,218,264],"real-time,":[50],"automated":[51],"solutions.":[52],"To":[53,159],"address":[54],"this":[55,57],"gap,":[56],"study":[58],"introduces":[59],"a":[60,72,105,125,215],"novel":[61],"approach":[62,151],"real-time":[64,196],"identification":[65],"visualization":[67,232,253,268],"plants":[70,238],"using":[71],"Convolutional":[73],"Neural":[74],"Network":[75],"(CNN)-based":[76],"model":[77,92],"called":[78],"PlantView,":[79],"integrated":[80,118,243],"with":[81,113,229,254,275],"Augmented":[82],"Reality":[83],"(AR)":[84],"enhanced":[86],"user":[87],"interaction.":[88],"The":[89,184],"proposed":[90,150],"PlantView":[91,164,255,288],"not":[93,191],"only":[94,192],"accurately":[95],"classifies":[96],"species":[99,136,280],"but":[100,200],"also":[101,201],"visualizes":[102],"them":[103],"3D":[106,266],"AR":[107,231,262],"environment,":[108],"allowing":[109],"users":[110],"interact":[112],"virtual":[114],"models":[116],"seamlessly":[117],"into":[119,244],"their":[120],"real-world":[121,270],"surroundings.":[122],"We":[123],"developed":[124],"custom":[126],"dataset":[127,274],"comprising":[128],"over":[129],"28,000":[130],"images":[131,277],"48":[133,279],"different":[134],"at":[137],"various":[138],"stages,":[140],"captured":[141],"under":[142],"diverse":[143],"conditions":[145],"camera":[147],"settings.":[148],"Our":[149],"achieves":[152],"an":[153],"impressive":[154],"accuracy":[155,180,293],"98.20":[157,258],"%.":[158],"validate":[160],"effectiveness":[162],"model,":[165,257],"we":[166],"conduct":[167],"extensive":[168],"experiments":[169],"compared":[171],"its":[172,178],"performance":[173],"against":[174],"state-of-the-art":[175,290],"methods,":[176],"demonstrating":[177],"superior":[179],"processing":[182,295],"speed.":[183,296],"results":[185],"indicate":[186],"that":[187],"our":[188],"method":[189],"is":[190],"highly":[193],"effective":[194],"offers":[202,214],"practical":[203],"applications":[204],"enhancing":[206],"care":[209],"visualization.":[211],"This":[212],"comprehensive":[216],"solution":[217],"enthusiasts":[221],"professionals,":[223],"combining":[224],"advanced":[225],"computer":[226],"vision":[227],"immersive":[230],"revolutionize":[234],"way":[236],"are":[239],"identified,":[240],"visualized,":[241],"living":[245],"spaces.":[246],"\u2022":[247,261,272,287,297],"Real-time":[248],"CNN":[256],"%":[259],"accuracy.":[260],"technology":[263],"interactive":[265],"environments.":[271],"Custom":[273],"28,000+":[276],"across":[281],"stages":[283],"conditions.":[286],"surpasses":[289],"methods":[291],"Applicable":[298],"agriculture,":[300],"environmental":[301],"monitoring,":[302],"industrial":[304],"automation.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-11-18T00:00:00"}
