{"id":"https://openalex.org/W4385679675","doi":"https://doi.org/10.1109/iwcmc58020.2023.10182573","title":"Real-Time Detection of Crop Leaf Diseases Using Enhanced YOLOv8 algorithm","display_name":"Real-Time Detection of Crop Leaf Diseases Using Enhanced YOLOv8 algorithm","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4385679675","doi":"https://doi.org/10.1109/iwcmc58020.2023.10182573"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc58020.2023.10182573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10182573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Wireless Communications and Mobile Computing (IWCMC)","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/A5087914122","display_name":"Houda Orchi","orcid":"https://orcid.org/0000-0002-3788-3914"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Houda Orchi","raw_affiliation_strings":["Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco"],"affiliations":[{"raw_affiliation_string":"Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061036547","display_name":"Mohamed Sadik","orcid":"https://orcid.org/0000-0003-4918-9804"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Sadik","raw_affiliation_strings":["Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco"],"affiliations":[{"raw_affiliation_string":"Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107935692","display_name":"Mohammed Khaldoun","orcid":null},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Khaldoun","raw_affiliation_strings":["Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco"],"affiliations":[{"raw_affiliation_string":"Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019615104","display_name":"Essa\u00efd Sabir","orcid":"https://orcid.org/0000-0001-9946-5761"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Essaid Sabir","raw_affiliation_strings":["Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco"],"affiliations":[{"raw_affiliation_string":"Hassan II University of Casablanca,NEST Research Group, LRI Lab, ENSEM,Morocco","institution_ids":["https://openalex.org/I99297268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087914122"],"corresponding_institution_ids":["https://openalex.org/I99297268"],"apc_list":null,"apc_paid":null,"fwci":15.0342,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.98911959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1690","last_page":"1696"},"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":0.9700000286102295,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9129999876022339,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical 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/crop","display_name":"Crop","score":0.5894495844841003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5643134713172913},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.28086382150650024},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12277418375015259}],"concepts":[{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5894495844841003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5643134713172913},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.28086382150650024},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12277418375015259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc58020.2023.10182573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10182573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311039","display_name":"Ministry of Higher Education and Scientific Research","ror":"https://ror.org/00kab6t91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2963037989","https://openalex.org/W3012550271","https://openalex.org/W3035016091","https://openalex.org/W3042421576","https://openalex.org/W3118868152","https://openalex.org/W3129322007","https://openalex.org/W3158114921","https://openalex.org/W3203464207","https://openalex.org/W3217381689","https://openalex.org/W4200563989","https://openalex.org/W4206092215","https://openalex.org/W4297631548","https://openalex.org/W4315926859","https://openalex.org/W4318834068","https://openalex.org/W4362502847","https://openalex.org/W6843188628","https://openalex.org/W6848743265"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Agriculture":[0],"is":[1],"a":[2,17,24,57,100,124,140,179],"mainstay":[3],"of":[4,13,20,26,102,114,161],"the":[5,9,62,130,158],"Moroccan":[6],"economy":[7],"and":[8,28,43,69,122,134,143,150,172,185],"breadwinner":[10],"for":[11,33,182],"millions":[12],"farmers,":[14],"offering":[15],"them":[16],"broad":[18],"array":[19],"crop":[21],"varieties.":[22],"However,":[23],"lack":[25],"resources":[27,44],"expertise":[29],"renders":[30],"it":[31],"difficult":[32],"farmers":[34],"to":[35,49,73,128,139],"properly":[36],"diagnose":[37],"plant":[38,75],"diseases.":[39],"Consequently,":[40],"valuable":[41],"time":[42],"are":[45],"often":[46],"wasted":[47],"trying":[48],"save":[50],"diseased":[51],"crops.":[52],"To":[53],"tackle":[54],"this":[55],"issue,":[56],"revolutionary":[58],"method":[59],"that":[60,95],"uses":[61,123],"most":[63],"recent":[64],"breakthroughs":[65],"in":[66,77,148,169,187],"computer":[67],"vision":[68],"deep":[70],"learning":[71],"technology":[72],"identify":[74],"diseases":[76],"real-time":[78],"has":[79],"been":[80],"presented.":[81],"Our":[82,155],"system":[83],"employs":[84],"YOLOv8":[85],"(You":[86],"Only":[87],"Look":[88],"Once),":[89],"an":[90,116],"advanced":[91],"object":[92,166,183],"identification":[93,167],"approach":[94],"analyses":[96],"leaf":[97],"images":[98],"at":[99],"rate":[101],"70":[103],"FPS":[104],"(Frames":[105],"Per":[106],"Second).":[107],"This":[108,137,174],"innovative":[109],"image":[110,117,145],"analysis":[111],"technique":[112],"consists":[113],"splitting":[115],"into":[118],"numerous":[119],"grid":[120],"cells":[121],"single":[125],"neural":[126],"network":[127],"predict":[129],"bounding":[131],"box":[132],"coordinates":[133],"class":[135],"probabilities.":[136],"leads":[138],"more":[141,151],"efficient":[142],"accurate":[144],"assessment,":[146],"resulting":[147],"quicker":[149],"exact":[152],"disease":[153],"identification.":[154],"results":[156],"demonstrate":[157],"exceptional":[159],"efficiency":[160],"YOLOv8,":[162],"which":[163],"outperforms":[164],"conventional":[165],"algorithms":[168],"both":[170],"speed":[171],"accuracy.":[173],"solidified":[175],"YOLOv8's":[176],"position":[177],"as":[178],"leading":[180],"solution":[181],"detection":[184],"recognition":[186],"real-world":[188],"scenarios.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
