{"id":"https://openalex.org/W7119786509","doi":"https://doi.org/10.3390/s26020458","title":"FESW-UNet: A Dual-Domain Attention Network for Sorghum Aphid Segmentation","display_name":"FESW-UNet: A Dual-Domain Attention Network for Sorghum Aphid Segmentation","publication_year":2026,"publication_date":"2026-01-09","ids":{"openalex":"https://openalex.org/W7119786509","doi":"https://doi.org/10.3390/s26020458","pmid":"https://pubmed.ncbi.nlm.nih.gov/41600255"},"language":"en","primary_location":{"id":"doi:10.3390/s26020458","doi":"https://doi.org/10.3390/s26020458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26020458","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s26020458","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101772978","display_name":"Caijian Hua","orcid":"https://orcid.org/0000-0002-2778-367X","observed_orcids":["https://orcid.org/0000-0002-2778-367X"]},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caijian Hua","raw_affiliation_strings":["School of Computer Science and Engineering , Sichuan University of Science and Engineering , Yibin 644000 , China"],"raw_orcid":"https://orcid.org/0000-0002-2778-367X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Sichuan University of Science and Engineering , Yibin 644000 , China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100507421","display_name":"Fangjun Ren","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjun Ren","raw_affiliation_strings":["School of Computer Science and Engineering , Sichuan University of Science and Engineering , Yibin 644000 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Sichuan University of Science and Engineering , Yibin 644000 , China","institution_ids":["https://openalex.org/I64852412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101772978"],"corresponding_institution_ids":["https://openalex.org/I64852412"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":3.6568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86512411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"26","issue":"2","first_page":"458","last_page":"458"},"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.04859999939799309,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pest-detection","display_name":"pest detection","score":0.7160000205039978},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.6589999794960022},{"id":"https://openalex.org/keywords/multiscale-attention","display_name":"multi-scale attention","score":0.6769999861717224},{"id":"https://openalex.org/keywords/haar-wavelet-downsampling","display_name":"Haar wavelet downsampling","score":0.9480000138282776},{"id":"https://openalex.org/keywords/spatial-attention","display_name":"spatial attention","score":0.7720000147819519},{"id":"https://openalex.org/keywords/simam","display_name":"SimAM","score":0.5740000009536743},{"id":"https://openalex.org/keywords/precision-spraying","display_name":"precision spraying","score":0.5830000042915344},{"id":"https://openalex.org/keywords/pesticide-overuse","display_name":"pesticide overuse","score":0.6420000195503235},{"id":"https://openalex.org/keywords/crop-pest-monitoring","display_name":"crop pest monitoring","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981000065803528},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414000153541565},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4603999853134155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.35370001196861267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34529998898506165},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3447999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.2671999931335449},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25189998745918274}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001042","descriptor_name":"Aphids","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true},{"descriptor_ui":"D045868","descriptor_name":"Sorghum","qualifier_ui":"Q000469","qualifier_name":"parasitology","is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s26020458","doi":"https://doi.org/10.3390/s26020458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26020458","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"doi:10.20944/preprints202512.0975.v1","doi":"https://doi.org/10.20944/preprints202512.0975.v1","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202512.0975.v1","pdf_url":"https://www.preprints.org/frontend/manuscript/e797311676264bbe85cfa30bf845b883/download_pub","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmid:41600255","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41600255","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:47cea25e599d46b1b4d44600e8d80fe0","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/47cea25e599d46b1b4d44600e8d80fe0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 26, Iss 2, p 458 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12845585","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12845585/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s26020458","doi":"https://doi.org/10.3390/s26020458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26020458","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.991100013256073,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4302734306","display_name":null,"funder_award_id":"42471437","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"management":[1],"strategies":[2],"for":[3,28,243],"sorghum":[4,247],"aphids":[5,49,248],"heavily":[6],"rely":[7],"on":[8,34,187,217],"indiscriminate":[9],"chemical":[10],"application,":[11],"leading":[12],"to":[13,87,95,120,143,159,167],"severe":[14],"environmental":[15],"consequences":[16],"and":[17,37,67,85,102,207,229,239,245],"impacting":[18],"food":[19],"safety.":[20],"While":[21],"precision":[22],"spraying":[23],"offers":[24,236],"a":[25,57,71,115,152],"viable":[26],"remediation":[27],"pesticide":[29],"overuse,":[30],"its":[31],"effectiveness":[32],"depends":[33],"accurately":[35],"locating":[36],"classifying":[38],"pests.":[39],"To":[40],"address":[41],"the":[42,83,93,106,109,160,188,218],"critical":[43],"challenge":[44],"of":[45,202,205,209,224,227,231],"segmenting":[46],"small,":[47],"swarming":[48],"in":[50,105],"complex":[51],"field":[52],"environments,":[53],"we":[54,113,134],"propose":[55],"FESW-UNet,":[56],"dual-domain":[58],"attention":[59,79,117,154],"network":[60],"that":[61,194],"integrates":[62],"Fourier-enhanced":[63,153],"attention,":[64,66],"spatial":[65],"wavelet-based":[68],"downsampling":[69,137,141],"into":[70],"UNet":[72],"backbone.":[73],"We":[74],"introduce":[75],"an":[76,200,222,237],"efficient":[77,238],"multi-scale":[78],"(EMA)":[80],"module":[81,118,155],"between":[82,100],"encoder":[84],"decoder":[86],"enhance":[88],"global":[89,101,174],"context":[90],"perception,":[91],"enabling":[92],"model":[94,212],"capture":[96],"more":[97],"accurate":[98],"relationships":[99],"local":[103,178],"features":[104],"field.":[107],"In":[108],"feature":[110,183],"extraction":[111],"stage,":[112],"embed":[114],"simple":[116],"(SimAM)":[119],"target":[121],"key":[122],"infestation":[123],"regions":[124],"while":[125,146],"suppressing":[126],"background":[127],"noise,":[128],"thereby":[129,181],"enhancing":[130,182],"pixel-level":[131],"discrimination.":[132],"Furthermore,":[133],"replace":[135],"conventional":[136],"with":[138,177],"Haar":[139],"wavelet":[140],"(HWD)":[142],"reduce":[144],"resolution":[145],"preserving":[147],"structural":[148],"edge":[149],"details.":[150],"Finally,":[151],"(FEAM)":[156],"is":[157],"added":[158],"skip-connection":[161],"layers.":[162],"By":[163],"using":[164],"complex-valued":[165],"weights":[166],"regulate":[168],"frequency-domain":[169],"features,":[170],"FEAM":[171],"effectively":[172],"fuses":[173],"low-frequency":[175],"structures":[176],"high-frequency":[179],"details,":[180],"representation":[184],"diversity.":[185],"Experiments":[186],"Aphid":[189],"Cluster":[190],"Segmentation":[191],"dataset":[192],"demonstrate":[193],"FESW-UNet":[195],"outperforms":[196],"other":[197],"models,":[198],"achieving":[199,221],"mIoU":[201,223],"68.76%,":[203],"mPA":[204,226],"78.19%,":[206],"mF1":[208,230],"79.01%.":[210],"The":[211,233],"also":[213],"demonstrated":[214],"strong":[215],"adaptability":[216],"AphidSeg-Sorghum":[219],"dataset,":[220],"81.22%,":[225],"87.97%,":[228],"88.60%.":[232],"proposed":[234],"method":[235],"feasible":[240],"technical":[241],"solution":[242],"monitoring":[244],"controlling":[246],"through":[249],"image":[250],"segmentation,":[251],"demonstrating":[252],"broad":[253],"application":[254],"potential.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2026-01-10T00:00:00"}