{"id":"https://openalex.org/W4402509011","doi":"https://doi.org/10.1109/access.2024.3460394","title":"YOLO-Wheat: A Wheat Disease Detection Algorithm Improved by YOLOv8s","display_name":"YOLO-Wheat: A Wheat Disease Detection Algorithm Improved by YOLOv8s","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402509011","doi":"https://doi.org/10.1109/access.2024.3460394"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3460394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3460394","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3460394","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114044964","display_name":"Xiaotong Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaotong Yao","raw_affiliation_strings":["School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108479168","display_name":"Feng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yang","raw_affiliation_strings":["School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiayin Yao","orcid":"https://orcid.org/0009-0002-5559-7556"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiayin Yao","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Gilmorehill Campus, Glasgow, U.K","School of Computing Science, University of Glasgow, Gilmorehill, Glasgow, Scotland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Gilmorehill Campus, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Gilmorehill, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114044964"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.473,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.96251179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"133877","last_page":"133888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.859499990940094,"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":0.859499990940094,"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/computer-science","display_name":"Computer science","score":0.5925970673561096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5228657722473145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3660232424736023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3306233882904053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925970673561096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5228657722473145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3660232424736023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3306233882904053}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3460394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3460394","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28cb7dea1aaf429fa0e08cc0e41d3bb7","is_oa":true,"landing_page_url":"https://doaj.org/article/28cb7dea1aaf429fa0e08cc0e41d3bb7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 133877-133888 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3460394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3460394","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1515356822","display_name":null,"funder_award_id":"18CX6JA022","funder_id":"https://openalex.org/F4320336756","funder_display_name":"Tianjin Science and Technology Program"},{"id":"https://openalex.org/G1776694049","display_name":null,"funder_award_id":"17CX2JA022","funder_id":"https://openalex.org/F4320336756","funder_display_name":"Tianjin Science and Technology Program"},{"id":"https://openalex.org/G2846014320","display_name":null,"funder_award_id":"51567014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336756","display_name":"Tianjin Science and Technology Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2470368200","https://openalex.org/W2601564443","https://openalex.org/W2618530766","https://openalex.org/W2884585870","https://openalex.org/W2889943009","https://openalex.org/W2988072185","https://openalex.org/W3034552520","https://openalex.org/W3034752215","https://openalex.org/W3122173535","https://openalex.org/W3165045544","https://openalex.org/W3177052299","https://openalex.org/W4200634144","https://openalex.org/W4281790833","https://openalex.org/W4321248228","https://openalex.org/W4367393787","https://openalex.org/W4379798389","https://openalex.org/W4386047745","https://openalex.org/W6802878479","https://openalex.org/W6849535052"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,207,227],"objective":[1],"of":[2,45,49,76,103,120,153,176,183,197,229,254],"this":[3,230],"research":[4],"is":[5,29,71,200],"to":[6,21,31,99,136,149,242],"create":[7],"an":[8,60],"algorithm":[9,28,117,225],"for":[10,36,73,112,163],"identifying":[11],"wheat":[12,50,57,78],"diseases":[13],"in":[14,59,269],"their":[15],"natural":[16],"habitat.":[17],"With":[18],"its":[19],"adaptability":[20],"small":[22],"targets":[23],"and":[24,39,80,89,94,106,125,146,170,266],"intricate":[25],"surroundings,":[26],"the":[27,74,101,113,116,121,126,133,144,151,156,160,167,172,181,188,191,204,216,234,239,252,261],"expected":[30],"offer":[32],"a":[33,43,68,84,108,195,211,221,259],"precise":[34],"foundation":[35],"scientific":[37],"management":[38],"disease":[40,51,185,256,272],"prevention.":[41],"First,":[42],"total":[44],"3622":[46],"original":[47,205],"datasets":[48],"photos":[52],"were":[53],"acquired":[54],"by":[55,142],"taking":[56],"photographs":[58],"agricultural":[61],"environment":[62],"over":[63,215],"various":[64],"periods.":[65],"Second,":[66],"YOLO-Wheat,":[67],"detection":[69,86,161,273],"method,":[70],"suggested":[72,208],"properties":[75],"infected":[77],"ears":[79],"leaves":[81],"that":[82,233],"share":[83],"limited":[85],"target":[87,247],"area":[88],"comparable":[90],"look,":[91],"texture,":[92],"color,":[93],"other":[95],"aspects.":[96],"In":[97],"order":[98],"improve":[100,150],"extraction":[102],"illness":[104],"characteristics":[105],"get":[107],"wider":[109],"sensory":[110],"field":[111],"input":[114],"features,":[115],"makes":[118],"use":[119],"new":[122],"C2f-DCN":[123],"module":[124],"SCNet":[127],"attention":[128],"mechanism.":[129],"Moreover,":[130,148],"it":[131],"enhances":[132],"model\u2019s":[134,240],"capacity":[135,241],"extract":[137,243],"information":[138],"from":[139,245],"distorted":[140],"objects":[141],"learning":[143],"offset":[145],"weighting.":[147],"identification":[152],"minor":[154,184],"illnesses,":[155],"design":[157],"has":[158],"enlarged":[159],"layer":[162],"tiny":[164,246],"targets,":[165],"modified":[166],"detecting":[168],"head,":[169],"optimized":[171],"loss":[173],"function.":[174],"All":[175],"these":[177],"changes":[178],"have":[179],"improved":[180],"accuracy":[182],"detection.":[186,257],"On":[187],"experimental":[189],"dataset,":[190],"YOLO-Wheat":[192],"method":[193],"earned":[194],"mAP@0.5":[196],"93.28%,":[198],"which":[199],"12%":[201],"better":[202],"than":[203],"model.":[206],"approach":[209,235],"shows":[210],"47%":[212],"performance":[213],"gain":[214],"previous":[217],"model,":[218],"while":[219],"maintaining":[220],"23.94":[222],"MB":[223],"smaller":[224],"size.":[226],"results":[228],"study":[231],"show":[232],"may":[236,263],"greatly":[237],"increase":[238],"features":[244],"pictures":[248],"as":[249,251],"well":[250],"robustness":[253],"crop":[255,271],"As":[258],"result,":[260],"technique":[262],"be":[264],"precisely":[265],"successfully":[267],"used":[268],"real-world":[270],"settings.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}