{"id":"https://openalex.org/W4388938063","doi":"https://doi.org/10.1109/icccnt56998.2023.10307583","title":"Using Deep Neural Nets for Flower Classification","display_name":"Using Deep Neural Nets for Flower Classification","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388938063","doi":"https://doi.org/10.1109/icccnt56998.2023.10307583"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5045352546","display_name":"Abhigya Verma","orcid":"https://orcid.org/0000-0001-5928-8481"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhigya Verma","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women,Delhi,India","Indira Gandhi Delhi Technical University for Women, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090812864","display_name":"Ishita Paul","orcid":"https://orcid.org/0000-0001-7175-6970"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ishita Paul","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women,Delhi,India","Indira Gandhi Delhi Technical University for Women, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113105259","display_name":"Pooja Gera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooja Gera","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women,Delhi,India","Indira Gandhi Delhi Technical University for Women, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021107821","display_name":"Amar Kumar Mohapatra","orcid":"https://orcid.org/0000-0002-8025-6879"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. K. Mohapatra","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women,Delhi,India","Indira Gandhi Delhi Technical University for Women, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210143260"],"apc_list":null,"apc_paid":null,"fwci":1.9868,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87627696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9902999997138977,"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":0.9902999997138977,"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/T13130","display_name":"Biological and pharmacological studies of plants","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337310314178467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.677708625793457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6414535045623779},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5945544838905334},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5838015079498291},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5787650942802429},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5558051466941833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5208938121795654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4886077046394348},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4346489906311035},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42276692390441895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35872024297714233},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2966938614845276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13081812858581543}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337310314178467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.677708625793457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414535045623779},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5945544838905334},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5838015079498291},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5787650942802429},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5558051466941833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5208938121795654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4886077046394348},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4346489906311035},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42276692390441895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35872024297714233},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2966938614845276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13081812858581543},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2801006881","https://openalex.org/W2891049477","https://openalex.org/W2969892662","https://openalex.org/W3016147974","https://openalex.org/W3086756644","https://openalex.org/W3127127608","https://openalex.org/W3127718701","https://openalex.org/W3174076555","https://openalex.org/W3200676563","https://openalex.org/W3202494925","https://openalex.org/W4210459499","https://openalex.org/W4214631024","https://openalex.org/W4226508183","https://openalex.org/W4229443568","https://openalex.org/W4295102816"],"related_works":["https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W2005234362","https://openalex.org/W3189091156","https://openalex.org/W4386087993","https://openalex.org/W3014041368","https://openalex.org/W1997235926","https://openalex.org/W4285815841"],"abstract_inverted_index":{"With":[0],"the":[1,48,56,78,101,120],"growing":[2],"influence":[3],"of":[4,12,34,80,86,112],"Machine":[5],"Learning,":[6],"Image":[7],"classification":[8,137],"is":[9,24,83],"a":[10,21,62,84,117,131],"topic":[11],"interest":[13],"for":[14,143],"many.":[15],"Flower":[16],"Classification":[17],"remains":[18],"to":[19,26,73,99],"be":[20,27],"hurdle":[22],"which":[23,122],"yet":[25],"crossed":[28],"in":[29,119,135],"this":[30],"topic.":[31],"The":[32,70,90,103],"nature":[33],"flower":[35,136],"image":[36,65],"datasets,":[37],"with":[38,108,141],"indifferentiable":[39],"backgrounds,":[40],"high":[41],"inter-class":[42],"commonalities":[43],"and":[44,51,82,93,149],"intra-class":[45],"dissimilarities":[46],"makes":[47],"process":[49,79],"complex":[50],"demanding.":[52],"Our":[53,128],"research":[54],"employs":[55],"transfer":[57],"learning":[58,94],"approach":[59],"by":[60],"training":[61,81],"pre-trained":[63],"ImageNet":[64],"classifier,":[66],"VGG-16":[67],"using":[68,125,138],"TPU.":[69],"TPU,":[71],"due":[72],"its":[74],"cores,":[75],"speeds":[76],"up":[77],"part":[85],"various":[87],"large-scale":[88],"classifiers.":[89],"epoch":[91],"size":[92],"rate":[95,111],"have":[96],"been":[97],"chosen":[98],"favour":[100],"process.":[102],"results":[104],"achieved":[105],"were":[106],"gratifying":[107],"an":[109,126],"accuracy":[110],"94.1%.":[113],"This":[114],"work":[115],"holds":[116],"scope":[118],"future":[121],"include":[123],"automation":[124],"application.":[127],"study":[129],"represents":[130],"significant":[132],"step":[133],"forward":[134],"machine":[139],"learning,":[140],"implications":[142],"fields":[144],"such":[145],"as":[146],"agriculture,":[147],"botany,":[148],"ecology.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}