{"id":"https://openalex.org/W4396879118","doi":"https://doi.org/10.1145/3647444.3652487","title":"Convolution Neural Network based efficient Segmentation and Classification Model for Disease Classification in Plant Images","display_name":"Convolution Neural Network based efficient Segmentation and Classification Model for Disease Classification in Plant Images","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879118","doi":"https://doi.org/10.1145/3647444.3652487"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3652487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652487","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652487","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652487","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033261990","display_name":"Deepkiran Munjal","orcid":null},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepkiran Munjal","raw_affiliation_strings":["COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India"],"raw_orcid":"https://orcid.org/0000-0002-9368-1938","affiliations":[{"raw_affiliation_string":"COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075207877","display_name":"Mrinal Pandey","orcid":"https://orcid.org/0000-0001-8942-3568"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrinal Pandey","raw_affiliation_strings":["COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India"],"raw_orcid":"https://orcid.org/0000-0001-8942-3568","affiliations":[{"raw_affiliation_string":"COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002274251","display_name":"Laxman Singh","orcid":"https://orcid.org/0000-0002-0956-6989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laxman Singh","raw_affiliation_strings":["Computer science and Engg.(AI &amp; ML), KIET Group of Institutions, India"],"raw_orcid":"https://orcid.org/0000-0002-0956-6989","affiliations":[{"raw_affiliation_string":"Computer science and Engg.(AI &amp; ML), KIET Group of Institutions, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4963,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71989707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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":0.9961000084877014,"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":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.7162253856658936},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7013548016548157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6955482959747314},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6286993026733398},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6127150058746338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6069530844688416},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5931087732315063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5665884017944336},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4936407804489136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17039743065834045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162253856658936},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7013548016548157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6955482959747314},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6286993026733398},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6127150058746338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6069530844688416},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5931087732315063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5665884017944336},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4936407804489136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17039743065834045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3652487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652487","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652487","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3647444.3652487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652487","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652487","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396879118.pdf","grobid_xml":"https://content.openalex.org/works/W4396879118.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2737457591","https://openalex.org/W2782434976","https://openalex.org/W2898927476","https://openalex.org/W2945461009","https://openalex.org/W2978651133","https://openalex.org/W2996289226","https://openalex.org/W3015782527","https://openalex.org/W3088352450","https://openalex.org/W3095722810","https://openalex.org/W3176992645","https://openalex.org/W4210950978","https://openalex.org/W4290997121","https://openalex.org/W4300881649","https://openalex.org/W4385679854"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W2890372105","https://openalex.org/W1522196789","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Detection":[0],"for":[1,12,29],"plant-disease":[2],"is":[3,161],"a":[4,13,30,105,118,153],"crucial":[5,49],"problem":[6],"that":[7,158],"needs":[8],"to":[9,110],"be":[10],"prioritized,":[11],"thriving":[14],"agriculture":[15],"and":[16,35,40,94,128],"economy.":[17],"Detecting":[18],"plant":[19,54,77,132],"disease":[20,55,78],"using":[21,117,139],"traditional":[22],"methods":[23,71,93],"are":[24],"laborious":[25],"since":[26],"they":[27],"call":[28],"lot":[31],"of":[32,52,90,125,131],"effort,":[33],"time,":[34],"knowledge.":[36],"Recently,":[37],"academics,":[38],"researchers,":[39],"professionals":[41],"have":[42,72,81],"all":[43],"been":[44],"quite":[45],"interested":[46],"in":[47,76,98],"the":[48,88,159],"scientific":[50],"field":[51],"automatic":[53],"detection.":[56],"Presently,":[57],"Deep":[58],"Learning":[59],"(DL)":[60],"methods,":[61],"especially":[62],"those":[63],"based":[64],"on":[65,152],"Convolutional":[66],"Neural":[67],"Network":[68],"(CNN),":[69],"These":[70],"attained":[73],"widespread":[74],"applications":[75],"classification.":[79],"They":[80],"either":[82],"fully":[83],"solved":[84,87],"or":[85],"partially":[86],"problems":[89],"old-style":[91],"classification":[92],"epitomize":[95],"up-to-the-minute":[96],"technology":[97],"this":[99],"field.":[100],"This":[101],"work":[102],"includes,":[103],"train":[104],"deep":[106],"convolutional":[107],"neural":[108],"network":[109],"detect":[111],"diseases":[112],"(or":[113],"their":[114],"lack":[115],"thereof)":[116],"Plant":[119],"Village":[120],"dataset":[121],"from":[122],"Kaggle":[123],"consisting":[124],"3152":[126],"diseased":[127],"well-healthy":[129],"images":[130],"leaves":[133],"acquired":[134],"under":[135],"meticulous":[136],"conditions":[137],"segmented":[138],"proposed":[140],"segmentation":[141],"methodology.":[142],"The":[143],"trained":[144],"model":[145],"performs":[146],"with":[147],"an":[148],"average":[149],"96.4%":[150],"accuracy":[151],"held-out":[154],"test":[155],"set,":[156],"proving":[157],"strategy":[160],"feasible.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
