{"id":"https://openalex.org/W7128808497","doi":"https://doi.org/10.1109/lsp.2026.3664272","title":"MSVM-UNet: Multi-Scale Spatial Attention Enhanced Vision Mamba U-Net for Agricultural Disease Segmentation","display_name":"MSVM-UNet: Multi-Scale Spatial Attention Enhanced Vision Mamba U-Net for Agricultural Disease Segmentation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128808497","doi":"https://doi.org/10.1109/lsp.2026.3664272"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3664272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3664272","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5125888483","display_name":"Lin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Shi","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":"https://orcid.org/0009-0002-2271-4250","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125926498","display_name":"Xinyu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Liu","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":"https://orcid.org/0009-0005-1103-8711","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125906105","display_name":"Li Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125903302","display_name":"Haiyang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["School of Advanced Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3025-9609","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030607091","display_name":"Zhanlin Ji","orcid":"https://orcid.org/0000-0003-3527-3773"},"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":"Zhanlin Ji","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A&amp;F University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3527-3773","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A&amp;F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19226174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1003","last_page":"1007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9840999841690063,"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":0.9840999841690063,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/segmentation","display_name":"Segmentation","score":0.7376000285148621},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6488999724388123},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.566100001335144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4526999890804291},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4388999938964844},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42399999499320984},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4205999970436096},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4043999910354614},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.3912999927997589}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7581999897956848},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7376000285148621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678600013256073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6697999835014343},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6488999724388123},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.566100001335144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42399999499320984},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.3707999885082245},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3156000077724457},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.29260000586509705},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3664272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3664272","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7446325421333313,"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agricultural":[0],"diseased":[1,45,160],"leaf":[2,26,46,161],"image":[3,47],"segmentation":[4,22,48,162],"is":[5,101],"a":[6,95],"critical":[7],"technology":[8],"for":[9,177],"precision":[10],"agriculture":[11],"and":[12,35,72,84,90,112,136,141,167],"intelligent":[13,178],"crop":[14],"protection.":[15],"To":[16,120],"overcome":[17],"the":[18,82,104,134,171],"limitations":[19],"of":[20,117],"current":[21],"methods-such":[23],"as":[24],"imprecise":[25],"edge":[27],"extraction,":[28],"difficulty":[29],"in":[30,38,80,103,158],"detecting":[31],"small":[32],"disease":[33,118,180],"lesions,":[34],"insufficient":[36],"robustness":[37],"complex":[39],"backgrounds-this":[40],"paper":[41],"proposes":[42],"an":[43,52,69],"agricultural":[44,159,179],"method":[49,67],"based":[50],"on":[51,133,170],"enhanced":[53],"visual":[54],"state":[55],"space":[56],"model,":[57],"named":[58],"MSVM-UNet":[59,153],"(Multi-Scale":[60],"Spatial":[61,97],"Attention":[62,98],"Vision":[63],"Mamba":[64],"U-Net).":[65],"This":[66],"employs":[68],"encoder-decoder":[70],"framework":[71],"integrates":[73],"improved":[74],"Visual":[75],"State":[76],"Space":[77],"(VSS)":[78],"modules":[79],"both":[81],"encoder":[83],"decoder,":[85],"enhancing":[86],"long-range":[87],"dependency":[88],"modeling":[89],"local-global":[91],"feature":[92,110],"fusion.":[93],"Simultaneously,":[94],"Multi-Scale":[96],"(MSSA)":[99],"module":[100],"introduced":[102],"skip":[105],"connections":[106],"to":[107],"enhance":[108],"cross-scale":[109],"representation":[111],"capture":[113],"fine":[114],"boundary":[115],"details":[116],"spots.":[119],"simulate":[121],"real":[122],"field":[123],"imaging":[124],"conditions,":[125],"we":[126],"perform":[127],"random":[128],"horizontal":[129],"or":[130],"vertical":[131],"flips":[132],"images":[135],"randomly":[137],"adjust":[138],"hue,":[139],"saturation,":[140],"brightness":[142],"before":[143],"training.":[144],"Experimental":[145],"results":[146],"demonstrate":[147],"that,":[148],"compared":[149],"with":[150],"mainstream":[151],"methods,":[152],"achieves":[154],"significant":[155],"performance":[156],"improvement":[157],"tasks,":[163],"reaching":[164],"80.44%":[165],"mIoU":[166],"92.56%":[168],"Dice":[169],"validation":[172],"set,":[173],"providing":[174],"our":[175],"solution":[176],"monitoring.":[181]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-14T00:00:00"}
