{"id":"https://openalex.org/W7160629454","doi":"https://doi.org/10.1109/tase.2026.3691465","title":"An Efficient Embedded Vision Framework for Real-Time Grapes Vineyard Unhealthy Leaves Detection and Precision Guided Spraying","display_name":"An Efficient Embedded Vision Framework for Real-Time Grapes Vineyard Unhealthy Leaves Detection and Precision Guided Spraying","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160629454","doi":"https://doi.org/10.1109/tase.2026.3691465"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2026.3691465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3691465","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Automation Science and Engineering","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/A5102102183","display_name":"Zhaofeng Yang","orcid":"https://orcid.org/0009-0006-2391-4990"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaofeng Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0006-2391-4990","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135713457","display_name":"Zohaib Khan","orcid":"https://orcid.org/0000-0001-8719-882X"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zohaib Khan","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-8719-882X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135655414","display_name":"Yue Shen","orcid":"https://orcid.org/0000-0001-7954-0779"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Shen","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-7954-0779","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135698992","display_name":"Hui Liu","orcid":"https://orcid.org/0009-0006-8644-7138"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4282-7378","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40488406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"10718","last_page":"10729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12161","display_name":"Plant Surface Properties and Treatments","score":0.6039999723434448,"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/T12161","display_name":"Plant Surface Properties and Treatments","score":0.6039999723434448,"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/T10616","display_name":"Smart Agriculture and AI","score":0.3181000053882599,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental 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/vineyard","display_name":"Vineyard","score":0.7497000098228455},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4675999879837036},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.3021000027656555},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.25279998779296875}],"concepts":[{"id":"https://openalex.org/C2780924976","wikidata":"https://www.wikidata.org/wiki/Q22715","display_name":"Vineyard","level":2,"score":0.7497000098228455},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4675999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.450300008058548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4235000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3675000071525574},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.27160000801086426},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2026.3691465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3691465","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6358407735824585,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1993941061","https://openalex.org/W2531409750","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2920621226","https://openalex.org/W2963163009","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3200612453","https://openalex.org/W3204309289","https://openalex.org/W4280651497","https://openalex.org/W4283837288","https://openalex.org/W4289752563","https://openalex.org/W4361291312","https://openalex.org/W4377096856","https://openalex.org/W4385284565","https://openalex.org/W4388905219","https://openalex.org/W4394932845","https://openalex.org/W4399797723","https://openalex.org/W4402124421","https://openalex.org/W4406939213","https://openalex.org/W4407918737","https://openalex.org/W4409103415","https://openalex.org/W4409488423","https://openalex.org/W4411606265"],"related_works":[],"abstract_inverted_index":{"Precision":[0],"spraying":[1,37,205],"in":[2,128,178,193,203],"vineyards":[3],"demands":[4],"accurate":[5],"and":[6,15,35,55,75,85,109,125,140,170,176,199,231,238],"efficient":[7],"plant":[8],"disease":[9,33],"detection":[10,26,34],"to":[11,67,91,210],"minimize":[12],"chemical":[13],"waste":[14],"environmental":[16],"contamination.":[17],"This":[18],"paper":[19],"introduces":[20,56],"DEPA-VINE,":[21],"an":[22,149,185],"improved":[23,106],"lightweight":[24,129],"YOLOv10-based":[25],"framework":[27,133,222],"designed":[28],"for":[29,105,223],"real-time":[30,224],"grapevine":[31],"leaf":[32],"autonomous":[36,186],"control.":[38],"The":[39,77,113,131,235],"network":[40],"replaces":[41],"the":[42,64,97,119,157,217,220],"standard":[43],"YOLOv10":[44],"backbone":[45,78],"layers":[46],"with":[47,80,143],"stacked":[48],"Mobile":[49],"Inverted":[50],"Bottleneck":[51],"Convolution":[52],"(MBConv)":[53],"blocks":[54],"a":[57,81,100,137,190,200],"Dynamic":[58],"Convolutional":[59],"Aggregation":[60],"(DCA)":[61],"module":[62],"at":[63,148],"input":[65],"stage":[66],"enhance":[68],"low-level":[69],"feature":[70,111],"extraction":[71],"under":[72],"motion":[73],"blur":[74],"occlusion.":[76],"concludes":[79],"Spatial":[82],"Pyramid":[83],"Pooling":[84],"Multi-scale":[86],"Enhanced":[87],"Fusion":[88],"(SPPMEF)":[89],"block":[90],"strengthen":[92],"global":[93],"context":[94],"modeling,":[95],"while":[96],"head":[98],"integrates":[99],"C2f-Extended":[101],"LSK-enhanced":[102],"Transformer":[103],"(C2f-XLT)":[104],"semantic":[107],"alignment":[108],"cross-scale":[110],"fusion.":[112],"model":[114],"is":[115],"further":[116],"optimized":[117],"using":[118,184],"AdaBelief":[120],"optimizer,":[121],"which":[122],"stabilizes":[123],"convergence":[124],"improves":[126],"generalization":[127],"settings.":[130],"proposed":[132,221],"achieves":[134],"83.4%":[135],"precision,":[136],"66.8%":[138],"F1-score,":[139],"70.2%":[141],"mAP@0.5":[142],"only":[144],"6.1":[145],"GFLOPs,":[146],"running":[147],"average":[150],"inference":[151],"speed":[152],"of":[153,219],"63.7":[154],"FPS":[155],"on":[156,196,206],"Rockchip":[158],"RK3588":[159],"embedded":[160],"platform.":[161],"Comparative":[162],"evaluations":[163],"against":[164],"YOLOv5n,":[165],"YOLOv7t,":[166],"YOLOv6n,":[167],"YOLOv12n,":[168],"RetinaNet,":[169],"ATSS":[171],"confirm":[172,216],"superior":[173],"accuracy-efficiency":[174],"trade-offs":[175],"robustness":[177],"challenging":[179],"vineyard":[180,233],"conditions.":[181],"Field":[182],"experiments":[183],"robotic":[187],"sprayer":[188],"demonstrate":[189],"27%":[191],"increase":[192],"droplet":[194],"coverage":[195],"diseased":[197],"foliage":[198],"90%":[201],"reduction":[202],"unintended":[204],"healthy":[207],"leaves,":[208],"leading":[209],"substantial":[211],"pesticide":[212,226],"savings.":[213],"These":[214],"results":[215],"practicality":[218],"selective":[225],"application,":[227],"enabling":[228],"more":[229],"sustainable":[230],"automated":[232],"management.":[234],"implementation":[236],"code":[237],"dataset":[239],"will":[240],"be":[241],"publicly":[242],"available.":[243]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-05-09T00:00:00"}
