{"id":"https://openalex.org/W4408041981","doi":"https://doi.org/10.1007/s00521-025-11038-3","title":"DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases","display_name":"DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases","publication_year":2025,"publication_date":"2025-02-28","ids":{"openalex":"https://openalex.org/W4408041981","doi":"https://doi.org/10.1007/s00521-025-11038-3"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-025-11038-3","doi":"https://doi.org/10.1007/s00521-025-11038-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11038-3","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s00521-025-11038-3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037222998","display_name":"Fatma M. Talaat","orcid":"https://orcid.org/0000-0001-6116-2191","observed_orcids":["https://orcid.org/0000-0001-6116-2191","https://orcid.org/0009-0007-2807-1555"]},"institutions":[{"id":"https://openalex.org/I130309236","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130309236"]},{"id":"https://openalex.org/I4388891815","display_name":"New Mansoura University","ror":"https://ror.org/05km0w312","country_code":"EG","type":"education","lineage":["https://openalex.org/I4388891815"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Fatma M. Talaat","raw_affiliation_strings":["Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt","Faculty of Computer Science and Engineering, New Mansoura University, Gamasa, 35712, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-6116-2191","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt","institution_ids":["https://openalex.org/I130309236"]},{"raw_affiliation_string":"Faculty of Computer Science and Engineering, New Mansoura University, Gamasa, 35712, Egypt","institution_ids":["https://openalex.org/I4388891815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084731651","display_name":"Mahmoud Y. Shams","orcid":"https://orcid.org/0000-0003-3021-5902","observed_orcids":["https://orcid.org/0000-0003-3021-5902"]},"institutions":[{"id":"https://openalex.org/I130309236","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130309236"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mahmoud Y. Shams","raw_affiliation_strings":["Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt","institution_ids":["https://openalex.org/I130309236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027327484","display_name":"Samah Adel Gamel","orcid":"https://orcid.org/0000-0003-1753-030X","observed_orcids":["https://orcid.org/0000-0003-1753-030X"]},"institutions":[{"id":"https://openalex.org/I4405268078","display_name":"Horus University \u2013 Egypt","ror":"https://ror.org/05qh69251","country_code":"EG","type":"education","lineage":["https://openalex.org/I4405268078"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Samah A. Gamel","raw_affiliation_strings":["Faculty of Engineering, Horus University, Damietta, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Horus University, Damietta, Egypt","institution_ids":["https://openalex.org/I4405268078"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112969207","display_name":"Hanaa Y. ZainEldin","orcid":"https://orcid.org/0000-0002-3776-8430","observed_orcids":["https://orcid.org/0000-0002-3776-8430"]},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hanaa ZainEldin","raw_affiliation_strings":["Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037222998"],"corresponding_institution_ids":["https://openalex.org/I130309236","https://openalex.org/I4388891815"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":{"value":3290,"currency":"USD","value_usd":3290},"fwci":17.201,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99614504,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"37","issue":"15","first_page":"8799","last_page":"8823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plant-disease-detection","display_name":"plant disease detection","score":0.9549999833106995},{"id":"https://openalex.org/keywords/automated-disease-diagnosis","display_name":"automated disease diagnosis","score":0.6299999952316284},{"id":"https://openalex.org/keywords/leaf-blight","display_name":"leaf blight","score":0.9179999828338623},{"id":"https://openalex.org/keywords/black-rot","display_name":"black rot","score":0.9900000095367432},{"id":"https://openalex.org/keywords/stables","display_name":"stables","score":0.8029999732971191},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8870000243186951},{"id":"https://openalex.org/keywords/fuzzy-optimization","display_name":"fuzzy optimization","score":0.8769999742507935},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.890999972820282},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.8230000138282776},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9319999814033508},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.6200000047683716},{"id":"https://openalex.org/keywords/plantvillage-dataset","display_name":"PlantVillage dataset","score":0.8040000200271606},{"id":"https://openalex.org/keywords/viticulture","display_name":"viticulture","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.8460209369659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623912513256073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876209735870361},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5092188119888306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48156431317329407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35352522134780884}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-025-11038-3","doi":"https://doi.org/10.1007/s00521-025-11038-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11038-3","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-025-11038-3","doi":"https://doi.org/10.1007/s00521-025-11038-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11038-3","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.875,"id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317358","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2014847057","https://openalex.org/W2714342494","https://openalex.org/W2765290761","https://openalex.org/W2888336823","https://openalex.org/W2907194960","https://openalex.org/W2976282159","https://openalex.org/W2981290880","https://openalex.org/W3004029582","https://openalex.org/W3013277995","https://openalex.org/W3017235523","https://openalex.org/W3023836073","https://openalex.org/W3033097971","https://openalex.org/W3033556225","https://openalex.org/W3035503061","https://openalex.org/W3036537849","https://openalex.org/W3044921708","https://openalex.org/W3045954106","https://openalex.org/W3090045860","https://openalex.org/W3095722810","https://openalex.org/W3097728713","https://openalex.org/W3106173725","https://openalex.org/W3135361473","https://openalex.org/W3160637831","https://openalex.org/W3163885127","https://openalex.org/W3166424296","https://openalex.org/W3167324598","https://openalex.org/W3190789542","https://openalex.org/W3206824631","https://openalex.org/W4220653579","https://openalex.org/W4224951917","https://openalex.org/W4285744245","https://openalex.org/W4288474802","https://openalex.org/W4319878487","https://openalex.org/W4361305530","https://openalex.org/W4363650871","https://openalex.org/W4367393401","https://openalex.org/W4381661674","https://openalex.org/W4385346231","https://openalex.org/W4385872232","https://openalex.org/W4388498511","https://openalex.org/W4390102126","https://openalex.org/W4390738897","https://openalex.org/W4392112250","https://openalex.org/W4392130309","https://openalex.org/W4392131983","https://openalex.org/W4392456220","https://openalex.org/W4394006079","https://openalex.org/W4399349141","https://openalex.org/W4401251109","https://openalex.org/W4402295385","https://openalex.org/W4402459846"],"related_works":["https://openalex.org/W4401071595","https://openalex.org/W4409529250","https://openalex.org/W4407036178","https://openalex.org/W4417509759","https://openalex.org/W7161571226","https://openalex.org/W7160046071","https://openalex.org/W4416941242","https://openalex.org/W4393187924","https://openalex.org/W7171330091","https://openalex.org/W4413980384"],"abstract_inverted_index":{"Abstract":[0],"Plant":[1,52,146],"diseases":[2,19,157,169],"can":[3],"cause":[4],"severe":[5],"losses":[6],"in":[7,163],"agricultural":[8,28,200],"production,":[9],"impacting":[10],"food":[11],"security":[12],"and":[13,26,39,71,88,124,153,190],"safety.":[14],"Early":[15],"detection":[16],"of":[17,102,167],"plant":[18,192],"is":[20,32,129,140,170],"crucial":[21],"to":[22,36,113,120,131,151],"minimize":[23],"crop":[24],"damage":[25],"ensure":[27],"sustainability.":[29],"Manual":[30],"monitoring":[31],"often":[33],"impractical":[34],"due":[35],"the":[37,100,103,133,145,164,183],"complexity":[38],"time":[40],"involved,":[41],"making":[42],"automated":[43,165],"disease":[44,193],"recognition":[45],"essential.":[46],"This":[47,178],"study":[48],"presents":[49],"a":[50,84,125],"new":[51],"Disease":[53],"Detection":[54],"Algorithm":[55],"(PDDA)":[56],"called":[57],"DeepLeaf":[58],"focused":[59],"on":[60,142],"identifying":[61],"four":[62],"common":[63],"grapevine":[64,155,168],"diseases:":[65],"leaf":[66,156],"blight,":[67],"black":[68,72],"rot,":[69],"stable,":[70],"measles.":[73],"The":[74,97,138,159],"PDDA":[75,184],"integrates":[76],"three":[77],"key":[78],"modules:":[79],"an":[80,89],"Image":[81],"Preprocessing":[82,116],"Module,":[83,87],"Feature":[85],"Extraction":[86],"Optimized":[90],"Convolutional":[91],"Neural":[92],"Network":[93],"(OCNN)-based":[94],"Classification":[95],"Module.":[96],"OCNN":[98],"forms":[99],"core":[101],"classification":[104],"system,":[105],"with":[106,187],"its":[107,173],"hyperparameters":[108],"fine-tuned":[109],"using":[110],"fuzzy":[111],"optimization":[112],"enhance":[114],"performance.":[115],"techniques":[117],"are":[118],"applied":[119],"analyze":[121],"diseased":[122],"leaves,":[123],"logistic":[126],"regression":[127],"algorithm":[128],"used":[130],"downsample":[132],"features":[134],"for":[135],"better":[136,199],"analysis.":[137],"CNN":[139],"trained":[141],"images":[143],"from":[144],"Village":[147],"dataset,":[148],"allowing":[149],"it":[150],"detect":[152],"classify":[154],"accurately.":[158],"proposed":[160],"model's":[161],"efficiency":[162],"diagnosis":[166],"demonstrated":[171],"by":[172],"remarkable":[174],"99.7%":[175],"accuracy":[176,180],"rate.":[177],"high":[179],"indicates":[181],"that":[182],"may":[185],"help":[186],"more":[188],"effective":[189],"scalable":[191],"monitoring,":[194],"which":[195],"will":[196],"ultimately":[197],"allow":[198],"practices.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":14}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-03-01T00:00:00"}