{"id":"https://openalex.org/W4391509230","doi":"https://doi.org/10.1093/comjnl/bxae010","title":"LiteMixer: Cauliflower Disease Diagnosis based on a Novel Lightweight Neural Network","display_name":"LiteMixer: Cauliflower Disease Diagnosis based on a Novel Lightweight Neural Network","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4391509230","doi":"https://doi.org/10.1093/comjnl/bxae010"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxae010","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae010","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-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/A5100667721","display_name":"Yi Zhong","orcid":"https://orcid.org/0000-0002-6260-9781"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhong","raw_affiliation_strings":["Mathematics and Computer Science, Zhejiang A&F University , Hangzhou, 310000 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science, Zhejiang A&F University , Hangzhou, 310000 , China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846274","display_name":"Zihan Teng","orcid":"https://orcid.org/0000-0002-1168-997X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zihan Teng","raw_affiliation_strings":["School of Design, The Hong Kong Polytechnic University , Hong Kong SAR, 999077 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Design, The Hong Kong Polytechnic University , Hong Kong SAR, 999077 , China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068187397","display_name":"Mengjun Tong","orcid":"https://orcid.org/0009-0005-5468-406X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengjun Tong","raw_affiliation_strings":["Mathematics and Computer Science, Zhejiang A&F University , Hangzhou, 310000 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science, Zhejiang A&F University , Hangzhou, 310000 , China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068187397"],"corresponding_institution_ids":["https://openalex.org/I1284762954"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":1.1539,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72373484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"67","issue":"6","first_page":"2346","last_page":"2356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9829999804496765,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9829999804496765,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.98089998960495,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7174489498138428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559675335884094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4357838034629822}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7174489498138428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559675335884094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4357838034629822}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxae010","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae010","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W3035414587","https://openalex.org/W3047532223","https://openalex.org/W3136213652","https://openalex.org/W3155943113","https://openalex.org/W3159484919","https://openalex.org/W3162088729","https://openalex.org/W3201246529","https://openalex.org/W3204243169","https://openalex.org/W4226324883","https://openalex.org/W4226486520","https://openalex.org/W4281694288","https://openalex.org/W4283465901","https://openalex.org/W4283592400","https://openalex.org/W4284970067","https://openalex.org/W4296463059","https://openalex.org/W4306738486","https://openalex.org/W4311035592","https://openalex.org/W4320536789","https://openalex.org/W4372311976","https://openalex.org/W4376130239","https://openalex.org/W6796538260","https://openalex.org/W6807437266","https://openalex.org/W6839167047","https://openalex.org/W6846792396","https://openalex.org/W6852177738"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Abstract":[0],"Cauliflower,":[1],"a":[2,65,88],"globally":[3],"cultivated":[4],"and":[5,14,58,139,166,186,212],"nutritionally":[6],"rich":[7],"crop,":[8],"confronts":[9],"significant":[10],"challenges":[11,218],"in":[12,41,149,172,206,214],"quality":[13],"yield":[15],"due":[16],"to":[17,70,113],"the":[18,94,118,124,127,132,146,167,180,187,216,225],"rising":[19],"prevalence":[20],"of":[21,126,227],"diseases.":[22],"Traditional":[23],"manual":[24],"detection":[25,223],"methods,":[26],"suitable":[27],"for":[28,117,201],"empiricists":[29],"or":[30],"plant":[31],"pathologists,":[32],"prove":[33],"inefficient.":[34],"Furthermore,":[35],"existing":[36],"automated":[37],"disease":[38,222],"identification":[39],"methods":[40],"cauliflower":[42,151,203,221],"often":[43],"neglect":[44],"crucial":[45],"computational":[46,159,174],"performance":[47],"metrics":[48],"within":[49,224],"computer":[50,228],"vision":[51,229],"algorithms,":[52],"such":[53],"as":[54,197],"complexity,":[55],"inference":[56,182],"speed":[57],"training":[59,189],"time.":[60],"This":[61,193],"study":[62,194],"introduces":[63],"LiteMixer,":[64],"novel":[66],"lightweight":[67,141],"model":[68],"designed":[69],"address":[71],"these":[72],"challenges.":[73],"The":[74,99],"Lightweight":[75,102],"Mixed-Domain":[76],"Feature":[77],"Extraction":[78],"module":[79,106,129],"(LMFE)":[80],"meticulously":[81],"captures":[82],"global":[83],"image":[84],"features,":[85,111],"followed":[86],"by":[87],"maximum":[89],"pooling":[90],"layer":[91],"that":[92],"downscales":[93],"resulting":[95,171],"multidimensional":[96],"feature":[97],"matrix.":[98],"Plug-and-Play":[100],"Multi-Scale":[101],"Convolutional":[103],"Attention":[104],"Fusion":[105],"(MLCAF)":[107],"integrates":[108],"multichannel":[109],"spatial":[110],"connecting":[112],"fully":[114],"connected":[115],"layers":[116],"final":[119],"classification.":[120],"Ablation":[121],"experiments":[122],"highlight":[123],"effectiveness":[125],"LMFE":[128],"coupled":[130],"with":[131,220],"MLCAF":[133],"module.":[134],"Comparative":[135],"analyses":[136],"against":[137],"state-of-the-art":[138],"other":[140],"models":[142],"demonstrate":[143],"LiteMixer":[144,156,177,196],"achieving":[145],"highest":[147],"accuracy":[148],"identifying":[150],"diseases":[152,205],"at":[153],"99.86%.":[154],"Notably,":[155],"exhibits":[157],"optimal":[158],"performance,":[160],"featuring":[161],"minimal":[162],"storage":[163],"costs":[164],"(4.02M)":[165],"lowest":[168],"parameter":[169],"count,":[170],"cost-effective":[173],"expenses":[175],"(16.78M).":[176],"also":[178],"boasts":[179],"fastest":[181],"time":[183,190],"(4.69":[184],"ms)":[185],"shortest":[188],"(865":[191],"s).":[192],"positions":[195],"an":[198],"advanced":[199],"solution":[200],"diagnosing":[202],"leaf":[204],"agricultural":[207],"settings,":[208],"underscoring":[209],"its":[210],"efficacy":[211],"practicality":[213],"overcoming":[215],"unique":[217],"associated":[219],"realm":[226],"algorithms.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}