{"id":"https://openalex.org/W3118346868","doi":"https://doi.org/10.1109/acit50332.2020.9300072","title":"A Deep CNN Approach for Plant Disease Detection","display_name":"A Deep CNN Approach for Plant Disease Detection","publication_year":2020,"publication_date":"2020-11-28","ids":{"openalex":"https://openalex.org/W3118346868","doi":"https://doi.org/10.1109/acit50332.2020.9300072","mag":"3118346868"},"language":"en","primary_location":{"id":"doi:10.1109/acit50332.2020.9300072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","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/A5056072847","display_name":"Fatma Marzougui","orcid":null},"institutions":[{"id":"https://openalex.org/I35845393","display_name":"University of Gafsa","ror":"https://ror.org/01kzjzn40","country_code":"TN","type":"education","lineage":["https://openalex.org/I35845393"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Fatma Marzougui","raw_affiliation_strings":["Faculty of Sciences, University of Gafsa, Gafsa, Tunisia"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, University of Gafsa, Gafsa, Tunisia","institution_ids":["https://openalex.org/I35845393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052764348","display_name":"Mohamed Elleuch","orcid":"https://orcid.org/0000-0003-4702-7692"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Elleuch","raw_affiliation_strings":["National School of Computer Science (ENSI), University of Manouba, Manouba, Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science (ENSI), University of Manouba, Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004803772","display_name":"Monji Kherallah","orcid":"https://orcid.org/0000-0002-4549-1005"},"institutions":[{"id":"https://openalex.org/I35845393","display_name":"University of Gafsa","ror":"https://ror.org/01kzjzn40","country_code":"TN","type":"education","lineage":["https://openalex.org/I35845393"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Monji Kherallah","raw_affiliation_strings":["Faculty of Sciences, University of Gafsa, Gafsa, Tunisia"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, University of Gafsa, Gafsa, Tunisia","institution_ids":["https://openalex.org/I35845393"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056072847"],"corresponding_institution_ids":["https://openalex.org/I35845393"],"apc_list":null,"apc_paid":null,"fwci":10.43,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.98220381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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":0.9994999766349792,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9621000289916992,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.9445000290870667,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8113267421722412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8058640956878662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7460412979125977},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7068135738372803},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7032908201217651},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5238100290298462},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48966625332832336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4721560478210449},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4559330642223358},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4532807469367981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4492194354534149},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.4286724328994751},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4238680899143219},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4217548370361328},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.350929319858551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3237934112548828}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8113267421722412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058640956878662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7460412979125977},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7068135738372803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7032908201217651},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5238100290298462},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48966625332832336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4721560478210449},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4559330642223358},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4532807469367981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4492194354534149},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.4286724328994751},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4238680899143219},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4217548370361328},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.350929319858551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3237934112548828},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit50332.2020.9300072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","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":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2470368200","https://openalex.org/W2473156356","https://openalex.org/W2533598788","https://openalex.org/W2584792494","https://openalex.org/W2594680180","https://openalex.org/W2618530766","https://openalex.org/W2733343268","https://openalex.org/W2760244101","https://openalex.org/W2805258197","https://openalex.org/W2971650923","https://openalex.org/W2978429020","https://openalex.org/W6741408057"],"related_works":["https://openalex.org/W2599472179","https://openalex.org/W3196952692","https://openalex.org/W2972754741","https://openalex.org/W2995001409","https://openalex.org/W2799384463","https://openalex.org/W4221145391","https://openalex.org/W4360783045","https://openalex.org/W3159619856","https://openalex.org/W4212887358","https://openalex.org/W4322746360"],"abstract_inverted_index":{"The":[0,131],"diagnosis":[1],"of":[2,67,79,93,163],"the":[3,19,64,80,84,114,147,150,161,164,173],"plants":[4],"is":[5,18,100],"carried":[6],"out":[7],"with":[8,77,109],"a":[9,15,47,106],"visual":[10],"inspection":[11],"by":[12,70,136],"experts":[13],"and":[14,28,95,103,143],"biological":[16],"examination":[17],"second":[20],"choice":[21],"if":[22],"necessary.":[23],"They":[24],"are":[25],"usually":[26],"expensive":[27],"time":[29],"consuming.":[30],"This":[31,117],"inspired":[32],"several":[33],"computer":[34,48],"methodologies":[35],"to":[36,146,167],"detect":[37],"plant":[38,68],"blights":[39],"based":[40,54],"on":[41,50,55,105],"their":[42,169],"leaf":[43,99],"images.":[44],"We":[45],"apply":[46],"methodology":[49],"Deep":[51,118],"Learning":[52,119],"systems":[53],"artificial":[56],"neural":[57,73],"networks,":[58],"this":[59],"branch":[60],"also":[61],"allows":[62],"for":[63,126],"early":[65],"detection":[66,129,155],"diseases,":[69],"applying":[71],"convolutional":[72],"networks":[74],"(CNNs)":[75],"familiar":[76],"some":[78],"famous":[81],"architectures,":[82],"notably":[83],"\u201cResNet\u201d":[85],"architecture,":[86],"using":[87],"an":[88],"augmented":[89],"dataset":[90],"containing":[91],"images":[92,138],"healthy":[94],"diseased":[96],"leaves":[97],"(each":[98],"manually":[101],"cut":[102],"placed":[104],"uniform":[107],"background)":[108],"acceptable":[110],"accuracy":[111],"rates":[112],"in":[113,160],"research":[115],"environment.":[116],"technique":[120],"has":[121],"shown":[122],"very":[123],"good":[124],"performance":[125],"various":[127],"object":[128],"problems.":[130],"model":[132],"fulfills":[133],"its":[134],"role":[135],"classifying":[137],"into":[139],"two":[140],"categories":[141],"(disease-free)":[142],"(diseased).":[144],"According":[145],"results":[148],"obtained,":[149],"developed":[151],"system":[152],"achieves":[153],"better":[154],"performances":[156],"than":[157],"those":[158],"proposed":[159],"state":[162],"art.":[165],"Finally,":[166],"compare":[168],"performances,":[170],"we":[171],"use":[172],"implementation":[174],"under":[175],"Anaconda":[176],"2019.10.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}