{"id":"https://openalex.org/W4280577098","doi":"https://doi.org/10.1142/s0218001422500288","title":"Lightweight Convolution Neural Network Based on Multi-Scale Parallel Fusion for Weed Identification","display_name":"Lightweight Convolution Neural Network Based on Multi-Scale Parallel Fusion for Weed Identification","publication_year":2022,"publication_date":"2022-05-13","ids":{"openalex":"https://openalex.org/W4280577098","doi":"https://doi.org/10.1142/s0218001422500288"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422500288","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500288","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5003378750","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-5765-0827"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Internet of Things and Big Data Technology Research Center, Xijing University, Xi\u2019an 710123, P. R. China","School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China"],"affiliations":[{"raw_affiliation_string":"Internet of Things and Big Data Technology Research Center, Xijing University, Xi\u2019an 710123, P. R. China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075799102","display_name":"Jianxin Guo","orcid":"https://orcid.org/0000-0003-0490-7649"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Guo","raw_affiliation_strings":["Internet of Things and Big Data Technology Research Center, Xijing University, Xi\u2019an 710123, P. R. China","School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China"],"affiliations":[{"raw_affiliation_string":"Internet of Things and Big Data Technology Research Center, Xijing University, Xi\u2019an 710123, P. R. China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071771834","display_name":"Shanwen Zhang","orcid":"https://orcid.org/0000-0002-4534-5358"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanwen Zhang","raw_affiliation_strings":["School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi\u2019an 710123, P. R. China","institution_ids":["https://openalex.org/I4210162994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003378750"],"corresponding_institution_ids":["https://openalex.org/I4210162994"],"apc_list":null,"apc_paid":null,"fwci":1.0446,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8002291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9927999973297119,"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":0.9927999973297119,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13130","display_name":"Biological and pharmacological studies of plants","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273292541503906},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7230981588363647},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.6691921353340149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.646466076374054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6189160346984863},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5968919396400452},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5771199464797974},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5358999967575073},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5234101414680481},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5207262635231018},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5154114961624146},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4690820276737213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35646986961364746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16726279258728027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273292541503906},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7230981588363647},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.6691921353340149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.646466076374054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6189160346984863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5968919396400452},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5771199464797974},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5358999967575073},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5234101414680481},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5207262635231018},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5154114961624146},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4690820276737213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35646986961364746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16726279258728027},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422500288","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500288","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7200000286102295,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2076063813","https://openalex.org/W2084722695","https://openalex.org/W2093020519","https://openalex.org/W2194775991","https://openalex.org/W2520364485","https://openalex.org/W2531409750","https://openalex.org/W2586062600","https://openalex.org/W2586545389","https://openalex.org/W2592893779","https://openalex.org/W2768974675","https://openalex.org/W2783115316","https://openalex.org/W2792880209","https://openalex.org/W2793063561","https://openalex.org/W2800428890","https://openalex.org/W2886855549","https://openalex.org/W3031965526","https://openalex.org/W3035493214","https://openalex.org/W3119341740","https://openalex.org/W3134207465"],"related_works":["https://openalex.org/W2157457846","https://openalex.org/W1584821869","https://openalex.org/W2593562831","https://openalex.org/W3012529405","https://openalex.org/W4293226380","https://openalex.org/W2469187828","https://openalex.org/W2390063414","https://openalex.org/W3088721469","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Accurate":[0],"identification":[1,58],"of":[2,26,47,54,92,157],"weed":[3,28,77,84,147,165,178],"species":[4,78,179],"is":[5,15,86,103,173],"the":[6,21,27,48,52,83,98,107,113,122,127,137,151,164,170],"premise":[7],"for":[8,76,177],"controlling":[9],"weeds":[10],"in":[11,30],"field.":[12,32],"But":[13],"it":[14],"a":[16,67],"challenging":[17],"task":[18],"due":[19],"to":[20,42,111,135],"complexity":[22],"and":[23,60,105,117,126,149,175],"high-dimensional":[24],"nonlinearity":[25],"images":[29,85],"natural":[31],"Convolutional":[33],"neural":[34,70],"networks":[35],"(CNNs)":[36],"model":[37,115,124],"has":[38],"been":[39],"widely":[40],"applied":[41],"image":[43,166],"identification,":[44],"but":[45],"most":[46],"CNNs":[49],"models":[50],"have":[51,141],"problems":[53],"large":[55],"parameters,":[56],"low":[57],"accuracy,":[59],"single":[61],"feature":[62,101,118],"scale.":[63],"This":[64],"paper":[65],"presents":[66],"novel":[68],"deep":[69],"network":[71,114],"structure,":[72],"named":[73],"as":[74],"MPF-Net":[75,153],"identification.":[79,180],"In":[80],"MPF-Net,":[81],"firstly,":[82],"sent":[87],"into":[88],"two":[89],"different":[90],"scales":[91],"depthwise":[93],"separable":[94],"convolution":[95],"layers;":[96],"secondly,":[97],"parallel":[99],"output":[100],"information":[102],"cross-fused,":[104],"uses":[106],"residual":[108],"learning":[109],"structure":[110],"increase":[112],"depth":[116],"extraction":[119],"ability;":[120],"finally":[121],"lightweight":[123,138,158],"PL-Model":[125],"scale":[128],"reduction":[129],"module":[130],"SR-Model":[131],"are":[132],"stacked":[133],"together":[134],"construct":[136],"network.":[139],"We":[140],"performed":[142],"extensive":[143],"experiments":[144],"on":[145,163],"real":[146],"datasets,":[148],"compared":[150],"proposed":[152,171],"against":[154],"several":[155],"variations":[156],"networks.":[159],"The":[160],"experimental":[161],"results":[162],"dataset":[167],"show":[168],"that":[169],"method":[172],"effective":[174],"feasible":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
