{"id":"https://openalex.org/W4411216722","doi":"https://doi.org/10.32604/cmc.2025.065152","title":"SPD-YOLO: A Method for Detecting Maize Disease Pests Using Improved YOLOv7","display_name":"SPD-YOLO: A Method for Detecting Maize Disease Pests Using Improved YOLOv7","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411216722","doi":"https://doi.org/10.32604/cmc.2025.065152"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.065152","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065152","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.065152","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhunruo Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhunruo Feng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ruomeng Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruomeng Shi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012837541","display_name":"Yuhan Jiang","orcid":"https://orcid.org/0000-0002-8715-2431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhan Jiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082952736","display_name":"Yiming Han","orcid":"https://orcid.org/0000-0001-5993-7103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095376985","display_name":"Zeyang Ma","orcid":"https://orcid.org/0000-0002-0390-1547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeyang Ma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057904855","display_name":"Yuheng Ren","orcid":"https://orcid.org/0009-0002-9679-9947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuheng Ren","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.8254,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9933591,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"84","issue":"2","first_page":"3559","last_page":"3575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9487000107765198,"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":0.9487000107765198,"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/biology","display_name":"Biology","score":0.4675449728965759},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.3937574028968811}],"concepts":[{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4675449728965759},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.3937574028968811}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.065152","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065152","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.065152","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065152","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2974223313","https://openalex.org/W3198025215","https://openalex.org/W4367397178","https://openalex.org/W4387807161","https://openalex.org/W4406580573","https://openalex.org/W4406810318","https://openalex.org/W4407133723","https://openalex.org/W4407282272","https://openalex.org/W4407756688","https://openalex.org/W4407897438","https://openalex.org/W4408238495","https://openalex.org/W4408412302"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2082860237","https://openalex.org/W2119695867","https://openalex.org/W2130076355","https://openalex.org/W1990804418","https://openalex.org/W1993764875","https://openalex.org/W2046158694","https://openalex.org/W2788277189","https://openalex.org/W2013243191","https://openalex.org/W1971568933"],"abstract_inverted_index":{"In":[0,70],"this":[1],"study,":[2],"we":[3,54,92],"propose":[4],"Space-to-Depth":[5,95],"and":[6,16,36,51,61,67,112,122,182,198],"You":[7],"Only":[8],"Look":[9],"Once":[10],"Version":[11],"7":[12],"(SPD-YOLOv7),":[13],"an":[14,158,163,176],"accurate":[15],"efficient":[17,147,197],"method":[18],"for":[19,203],"detecting":[20],"pests":[21],"in":[22,107,180,184],"maize":[23,204],"crops,":[24],"addressing":[25],"challenges":[26],"such":[27],"as":[28],"small":[29,86,119],"pest":[30,205],"sizes,":[31],"blurred":[32],"images,":[33],"low":[34],"resolution,":[35],"significant":[37],"species":[38],"variation":[39],"across":[40],"different":[41],"growth":[42],"stages.":[43],"To":[44,89],"improve":[45],"the":[46,74,77,83,94,100,108,126,136,153,169,191],"model\u2019s":[47],"ability":[48],"to":[49,82,144],"generalize":[50],"its":[52],"robustness,":[53],"incorporate":[55],"target":[56,71,87,120],"background":[57],"analysis,":[58],"data":[59],"augmentation,":[60],"processing":[62],"techniques":[63],"like":[64],"Gaussian":[65],"noise":[66],"brightness":[68],"adjustment.":[69],"detection,":[72],"increasing":[73],"depth":[75],"of":[76,85,160,166,178],"neural":[78],"network":[79],"can":[80],"lead":[81],"loss":[84],"information.":[88,124],"overcome":[90],"this,":[91],"introduce":[93],"Convolution":[96],"(SPD-Conv)":[97],"module":[98,132],"into":[99],"SPD-YOLOv7":[101],"framework,":[102],"replacing":[103],"certain":[104],"convolutional":[105],"layers":[106],"traditional":[109],"system":[110],"backbone":[111],"head":[113],"network.":[114],"This":[115],"modification":[116],"helps":[117],"retain":[118],"features":[121],"location":[123],"Additionally,":[125],"Efficient":[127],"Layer":[128],"Aggregation":[129],"Network-Wide":[130],"(ELAN-W)":[131],"is":[133,195],"combined":[134],"with":[135,162],"Convolutional":[137],"Block":[138],"Attention":[139],"Module":[140],"(CBAM)":[141],"attention":[142],"mechanism":[143],"extract":[145],"more":[146,196],"features.":[148],"Experimental":[149],"results":[150,188],"show":[151],"that":[152,190],"enhanced":[154,192],"YOLOv7":[155,171,193],"model":[156,194],"achieves":[157],"accuracy":[159,165,181],"98.38%,":[161],"average":[164,185],"99.4%,":[167],"outperforming":[168],"original":[170],"model.":[172],"These":[173],"improvements":[174],"represent":[175],"increase":[177],"2.46%":[179],"3.19%":[183],"accuracy.":[186],"The":[187],"indicate":[189],"real-time,":[199],"offering":[200],"valuable":[201],"insights":[202],"control.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
