{"id":"https://openalex.org/W4388938184","doi":"https://doi.org/10.1109/icccnt56998.2023.10307012","title":"Deep learning model for Classifying leaves of Plants using VGG-16","display_name":"Deep learning model for Classifying leaves of Plants using VGG-16","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388938184","doi":"https://doi.org/10.1109/icccnt56998.2023.10307012"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307012","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":"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/A5007987694","display_name":"K. Abinaya","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Abinaya","raw_affiliation_strings":["Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023450443","display_name":"K. Ishwarya","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Ishwarya","raw_affiliation_strings":["Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101709447","display_name":"S. Saraswathi","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Saraswathi","raw_affiliation_strings":["Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Semmancheri, Chennai,TamilNadu,India,600119","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058773393","display_name":"Prabakaran Kasinathan","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabakaran Kasinathan","raw_affiliation_strings":["Veltech Rangarajan Dr. Sagunthula R &amp; D Institute of Science and Technology,Department of CSE School of Computing,TamilNadu,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Veltech Rangarajan Dr. Sagunthula R &amp; D Institute of Science and Technology,Department of CSE School of Computing,TamilNadu,India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113857174","display_name":"G. Nandhini","orcid":null},"institutions":[{"id":"https://openalex.org/I860813019","display_name":"Bharath University","ror":"https://ror.org/04yazpn06","country_code":"IN","type":"education","lineage":["https://openalex.org/I860813019"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nandhini G","raw_affiliation_strings":["Bharath Institute of Higher Education and Research, BIHER,Department of Computer Science and Engineering,Selaiyur, Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bharath Institute of Higher Education and Research, BIHER,Department of Computer Science and Engineering,Selaiyur, Chennai,India","institution_ids":["https://openalex.org/I860813019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0991,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84683419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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":0.963100016117096,"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":0.951200008392334,"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/categorization","display_name":"Categorization","score":0.8748652935028076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7609151601791382},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7128009796142578},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.657208263874054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568691730499268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5585151314735413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4662396311759949},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4603554606437683},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4325675368309021}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8748652935028076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7609151601791382},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7128009796142578},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.657208263874054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568691730499268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5585151314735413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4662396311759949},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4603554606437683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4325675368309021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307012","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":18,"referenced_works":["https://openalex.org/W3015562698","https://openalex.org/W3022585740","https://openalex.org/W3180998648","https://openalex.org/W3212737115","https://openalex.org/W4205555581","https://openalex.org/W4206338051","https://openalex.org/W4224996007","https://openalex.org/W4226165565","https://openalex.org/W4281795648","https://openalex.org/W4286541136","https://openalex.org/W4296902926","https://openalex.org/W4308347514","https://openalex.org/W4309582104","https://openalex.org/W4311106074","https://openalex.org/W4311350445","https://openalex.org/W4312942672","https://openalex.org/W4320478861","https://openalex.org/W4327796997"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Systematic":[0],"plant-based":[1],"categorization":[2,133],"has":[3],"never":[4],"been":[5,25],"difficult.":[6],"Targeted":[7],"crop":[8],"safety":[9],"is":[10],"dependent":[11],"on":[12,47],"automated":[13],"technologies":[14],"that":[15],"detect":[16,96],"and":[17,68,82,97,143],"classify":[18,98,112],"plants.":[19],"Classical":[20],"machine":[21],"learning":[22,63],"approaches":[23],"have":[24,40,74],"used":[26],"to":[27,95,111,137],"categorize":[28],"leaves":[29,50],"using":[30,51,89],"handcrafted":[31],"features":[32,67],"from":[33,102],"the":[34,59,90,103,144],"shape":[35],"of":[36,61,66],"plant":[37,49,100,131],"leaves,":[38],"which":[39],"yielded":[41],"promising":[42],"results.":[43],"However,":[44],"we":[45,57],"concentrate":[46],"classifying":[48],"non-handcrafted":[52],"traits.":[53],"To":[54],"accomplish":[55],"this,":[56],"employ":[58],"use":[60],"deep":[62],"for":[64],"extraction":[65],"categorization.":[69],"Deep":[70],"Convolution":[71],"Neural":[72],"Networks":[73],"recently":[75],"demonstrated":[76],"impressive":[77],"achievements":[78],"in":[79,126],"picture":[80],"classification":[81],"object":[83],"detection":[84],"challenges.":[85],"This":[86],"paper":[87],"proposes":[88],"built-in,":[91],"compact":[92],"VGG-16":[93],"model":[94],"ten":[99,113],"species":[101,132],"Plant":[104],"dataset.":[105],"The":[106],"proposed":[107],"models":[108],"are":[109],"utilized":[110],"other":[114,119],"classes.":[115],"When":[116],"contrasted":[117],"with":[118],"pre-trained":[120],"models,":[121],"VGG":[122],"-16":[123],"fared":[124],"better":[125],"categorizing":[127],"leaf":[128],"images.":[129],"Computerized":[130],"could":[134],"be":[135],"beneficial":[136],"food":[138],"engineers,":[139],"agricultural":[140],"professionals,":[141],"researchers,":[142],"general":[145],"public.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
