{"id":"https://openalex.org/W4376630662","doi":"https://doi.org/10.3390/s23094507","title":"FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features","display_name":"FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4376630662","doi":"https://doi.org/10.3390/s23094507","pmid":"https://pubmed.ncbi.nlm.nih.gov/37177711"},"language":"en","primary_location":{"id":"doi:10.3390/s23094507","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094507","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4507/pdf?version=1683792999","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,"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"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/9/4507/pdf?version=1683792999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102836966","display_name":"Yi Song","orcid":"https://orcid.org/0000-0003-2331-9607"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Song","raw_affiliation_strings":["College of Horticulture, Anhui Agricultural University, Hefei 230001, China","College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Horticulture, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113663695","display_name":"Li Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["College of Horticulture, Anhui Agricultural University, Hefei 230001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Horticulture, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003835661","display_name":"Yuan Rao","orcid":"https://orcid.org/0000-0002-4386-2490"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Rao","raw_affiliation_strings":["College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356745","display_name":"Xiaodan Zhang","orcid":"https://orcid.org/0000-0001-8192-0666"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhang","raw_affiliation_strings":["College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064144631","display_name":"Xiu Jin","orcid":"https://orcid.org/0000-0002-0827-2962"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiu Jin","raw_affiliation_strings":["College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China"],"raw_orcid":"https://orcid.org/0000-0002-0827-2962","affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, Anhui Agricultural University, Hefei 230001, China","institution_ids":["https://openalex.org/I140221134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064144631"],"corresponding_institution_ids":["https://openalex.org/I140221134"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":3.199,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91028507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"4507","last_page":"4507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"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":0.9980000257492065,"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/T12795","display_name":"Banana Cultivation and Research","score":0.9868000149726868,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9860000014305115,"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/feature","display_name":"Feature (linguistics)","score":0.7521252632141113},{"id":"https://openalex.org/keywords/pear","display_name":"PEAR","score":0.6880350112915039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682327151298523},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6546964049339294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5725110769271851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48458635807037354},{"id":"https://openalex.org/keywords/nutrient-deficiency","display_name":"Nutrient deficiency","score":0.4719133675098419},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4631592035293579},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42389440536499023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3465732932090759},{"id":"https://openalex.org/keywords/nutrient","display_name":"Nutrient","score":0.2263799011707306},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.09840044379234314},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08728015422821045}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7521252632141113},{"id":"https://openalex.org/C2775874295","wikidata":"https://www.wikidata.org/wiki/Q568694","display_name":"PEAR","level":2,"score":0.6880350112915039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682327151298523},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6546964049339294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5725110769271851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48458635807037354},{"id":"https://openalex.org/C2993497135","wikidata":"https://www.wikidata.org/wiki/Q7070481","display_name":"Nutrient deficiency","level":3,"score":0.4719133675098419},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4631592035293579},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42389440536499023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3465732932090759},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.2263799011707306},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.09840044379234314},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08728015422821045},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000078622","descriptor_name":"Nutrients","qualifier_ui":"Q000172","qualifier_name":"deficiency","is_major_topic":false},{"descriptor_ui":"D000078622","descriptor_name":"Nutrients","qualifier_ui":"Q000172","qualifier_name":"deficiency","is_major_topic":false},{"descriptor_ui":"D000078622","descriptor_name":"Nutrients","qualifier_ui":"Q000172","qualifier_name":"deficiency","is_major_topic":false},{"descriptor_ui":"D000078622","descriptor_name":"Nutrients","qualifier_ui":"Q000172","qualifier_name":"deficiency","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":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031989","descriptor_name":"Pyrus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031989","descriptor_name":"Pyrus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031989","descriptor_name":"Pyrus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031989","descriptor_name":"Pyrus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044342","descriptor_name":"Malnutrition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044342","descriptor_name":"Malnutrition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044342","descriptor_name":"Malnutrition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044342","descriptor_name":"Malnutrition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23094507","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094507","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4507/pdf?version=1683792999","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,"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":"pmid:37177711","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37177711","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,"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":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10181525","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10181525","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10181525/pdf/sensors-23-04507.pdf","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,"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"},{"id":"pmh:oai:doaj.org/article:11b636ea25ae44198abe385effd38b3e","is_oa":true,"landing_page_url":"https://doaj.org/article/11b636ea25ae44198abe385effd38b3e","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,"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 23, Iss 9, p 4507 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/9/4507/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23094507","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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; Volume 23; Issue 9; Pages: 4507","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23094507","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094507","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4507/pdf?version=1683792999","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,"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":[{"id":"https://metadata.un.org/sdg/2","score":0.7400000095367432,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376630662.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1989434047","https://openalex.org/W2012093028","https://openalex.org/W2115484145","https://openalex.org/W2133651588","https://openalex.org/W2586195663","https://openalex.org/W2619049044","https://openalex.org/W2714342494","https://openalex.org/W2752988473","https://openalex.org/W2793369092","https://openalex.org/W2900455868","https://openalex.org/W2937035224","https://openalex.org/W2937772171","https://openalex.org/W2943024341","https://openalex.org/W2945058432","https://openalex.org/W2945751394","https://openalex.org/W2948082892","https://openalex.org/W2971338947","https://openalex.org/W2979623549","https://openalex.org/W2994896500","https://openalex.org/W3020817088","https://openalex.org/W3028098469","https://openalex.org/W3039817009","https://openalex.org/W3084116196","https://openalex.org/W3093348230","https://openalex.org/W3111618993","https://openalex.org/W3135589907","https://openalex.org/W3157506437","https://openalex.org/W3206190693","https://openalex.org/W3208517497","https://openalex.org/W4205495162","https://openalex.org/W4205756860","https://openalex.org/W4213279510","https://openalex.org/W4226080951","https://openalex.org/W4281774512","https://openalex.org/W4286250880","https://openalex.org/W4288071427","https://openalex.org/W4312443924","https://openalex.org/W6737867867","https://openalex.org/W6739901393","https://openalex.org/W6743830106","https://openalex.org/W6767751280","https://openalex.org/W6778411759","https://openalex.org/W6780851395","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W2368207219","https://openalex.org/W2389767552","https://openalex.org/W2377508083","https://openalex.org/W2351035948","https://openalex.org/W2376985653","https://openalex.org/W2941417718","https://openalex.org/W2354521947","https://openalex.org/W4292091388","https://openalex.org/W2385876339","https://openalex.org/W2349960494"],"abstract_inverted_index":{"Accurate":[0],"diagnosis":[1],"of":[2,14,51,111],"pear":[3,45,53,122,181],"tree":[4],"nutrient":[5,41],"deficiency":[6,42,183],"symptoms":[7,43],"is":[8,130],"vital":[9],"for":[10,39,190],"the":[11,25,48,64,70,75,81,89,109,120,134,139,148,154,166,171],"timely":[12],"adoption":[13],"fertilization":[15],"and":[16,35,63,100,114,159,170],"treatment.":[17],"This":[18],"study":[19],"proposes":[20],"a":[21,187],"novel":[22],"method":[23],"on":[24],"fused":[26,79,90],"feature":[27,37,60],"multi-head":[28],"attention":[29],"recording":[30],"network":[31,72,142],"with":[32,80,144,165],"image":[33],"depth":[34,65,82,135],"shallow":[36,49,76,145,172],"fusion":[38,115],"diagnosing":[40],"in":[44,103,119],"leaves.":[46,194],"First,":[47],"features":[50,66,77,83,91,136,146],"nutrient-deficient":[52,121,193],"leaf":[54,123,182],"images":[55,184],"are":[56,67,78,92],"extracted":[57,68],"using":[58,84,94,147],"manual":[59],"extraction":[61],"methods,":[62],"by":[69,132,157,185],"deep":[71,141],"model.":[73,175],"Second,":[74],"serial":[85],"fusion.":[86],"In":[87],"addition,":[88],"trained":[93],"three":[95],"classification":[96,128],"algorithms,":[97],"F-Net,":[98],"FC-Net,":[99],"FA-Net,":[101],"proposed":[102,149],"this":[104],"paper.":[105],"Finally,":[106],"we":[107],"compare":[108],"performance":[110,129],"single":[112],"feature-based":[113,116,173],"identification":[117],"algorithms":[118],"diagnostic":[124],"task.":[125],"The":[126,176],"best":[127],"achieved":[131],"fusing":[133],"output":[137],"from":[138],"ConvNeXt-Base":[140,168],"model":[143,169],"FA-Net":[150],"network,":[151],"which":[152],"improved":[153],"average":[155],"accuracy":[156],"15.34":[158],"10.19":[160],"percentage":[161],"points,":[162],"respectively,":[163],"compared":[164],"original":[167],"recognition":[174],"result":[177],"can":[178],"accurately":[179],"recognize":[180],"providing":[186],"theoretical":[188],"foundation":[189],"identifying":[191],"plant":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}