{"id":"https://openalex.org/W4416873329","doi":"https://doi.org/10.1109/jstars.2025.3638898","title":"SEV-Field: A Crop Field Extraction Framework for High-Resolution Imagery via Semantic Segmentation and Boundary Connection","display_name":"SEV-Field: A Crop Field Extraction Framework for High-Resolution Imagery via Semantic Segmentation and Boundary Connection","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4416873329","doi":"https://doi.org/10.1109/jstars.2025.3638898"},"language":null,"primary_location":{"id":"doi:10.1109/jstars.2025.3638898","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3638898","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","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/jstars.2025.3638898","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000903753","display_name":"Lingyuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingyuan Zhao","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337789","display_name":"Qun Wang","orcid":"https://orcid.org/0000-0002-4330-4093"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]},{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qun Wang","raw_affiliation_strings":["Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047500564","display_name":"Kuang Zhou","orcid":"https://orcid.org/0000-0002-7278-3652"},"institutions":[{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]},{"id":"https://openalex.org/I4210131005","display_name":"Chery Automobile (China)","ror":"https://ror.org/02xab7z06","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210131005"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kuang Zhou","raw_affiliation_strings":["Research and Development Department, Geely Automobile Group, Chengdu, China","Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Research and Development Department, Geely Automobile Group, Chengdu, China","institution_ids":["https://openalex.org/I4210131005"]},{"raw_affiliation_string":"Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086893059","display_name":"Zifei Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]},{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zifei Luo","raw_affiliation_strings":["Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000683189","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-1108-4006"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]},{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101703843","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-7625-6067"},"institutions":[{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Spatial Intelligent Perception and Large Model Application, Nanjing University of Aeronautics and Astronautics & HuanTian Wisdom Technology Company Ltd., Meishan, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Technology Research and Development Center, Huantian Wisdom Technology, Meishan, China","institution_ids":["https://openalex.org/I4210115558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000903753"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38296975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1744","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8511000275611877,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8511000275611877,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.026499999687075615,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/boundary","display_name":"Boundary (topology)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5587000250816345},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.49810001254081726},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.46720001101493835},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4666999876499176},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45570001006126404},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42899999022483826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4090000092983246},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3833000063896179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431000232696533},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5587000250816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5198000073432922},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4575999975204468},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45570001006126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3971000015735626},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3833000063896179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C2780105985","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Built-up area","level":3,"score":0.3287999927997589},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.28870001435279846},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2025.3638898","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3638898","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3638898","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3638898","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1981934656","https://openalex.org/W2099184708","https://openalex.org/W2109754098","https://openalex.org/W2110158442","https://openalex.org/W2118899651","https://openalex.org/W2199031689","https://openalex.org/W2539903015","https://openalex.org/W2583659076","https://openalex.org/W2590379360","https://openalex.org/W2607333215","https://openalex.org/W2774320778","https://openalex.org/W2884822772","https://openalex.org/W2897702453","https://openalex.org/W2909728654","https://openalex.org/W2943654052","https://openalex.org/W2951982261","https://openalex.org/W2962690307","https://openalex.org/W2963849369","https://openalex.org/W2971419816","https://openalex.org/W2986456964","https://openalex.org/W2993182755","https://openalex.org/W2998039052","https://openalex.org/W3007268491","https://openalex.org/W3025172026","https://openalex.org/W3037398812","https://openalex.org/W3046220160","https://openalex.org/W3130458364","https://openalex.org/W3138516171","https://openalex.org/W3168485926","https://openalex.org/W3214149306","https://openalex.org/W4225282899","https://openalex.org/W4226028353","https://openalex.org/W4309780166","https://openalex.org/W4312710812","https://openalex.org/W4312849257","https://openalex.org/W4322505321","https://openalex.org/W4327563437","https://openalex.org/W4380478936","https://openalex.org/W4387359461","https://openalex.org/W4397030602","https://openalex.org/W4399344797","https://openalex.org/W4400492919","https://openalex.org/W4407084975"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"crop":[1],"field":[2,65,113],"boundary":[3,47,127,174],"extraction":[4],"from":[5],"high":[6],"resolution":[7],"remote":[8],"sensing":[9],"imagery":[10,98],"is":[11,83],"crucial":[12],"for":[13,60,71,112,117,188],"agricultural":[14],"management.":[15],"However,":[16],"fragmented":[17,88],"boundaries":[18,89],"and":[19,29,46,67,78,90,115,144,164,176,181],"limited":[20],"model":[21,59,70],"transferability,":[22,155],"particularly":[23],"in":[24,99,126,161,166],"areas":[25],"with":[26],"complex":[27],"terrain":[28],"smallholder":[30],"farming,":[31],"remain":[32],"major":[33],"challenges.":[34],"This":[35],"study":[36],"introduces":[37],"SEV-Field,":[38],"a":[39,56,104,123,185],"framework":[40,54,121,151],"combining":[41],"semantic":[42,61],"segmentation,":[43],"edge":[44,72],"detection,":[45],"post-processing":[48],"to":[49,63,86],"address":[50],"these":[51],"issues.":[52],"The":[53],"uses":[55],"Swin":[57],"Transformer":[58],"segmentation":[62],"delineate":[64],"extents":[66],"the":[68,120,150],"EDTER":[69],"detection.":[73],"A":[74],"Vector":[75],"Boundary":[76],"Connection":[77],"Extent":[79],"Filtering":[80],"(VBC-EF)":[81],"method":[82],"then":[84],"applied":[85],"reconnect":[87],"enhance":[91],"connectivity.":[92],"Evaluated":[93],"on":[94],"high-resolution":[95],"Jilin-1":[96],"satellite":[97,145],"Yibin,":[100],"China,":[101],"SEV-Field":[102,171],"achieved":[103],"mean":[105],"intersection":[106],"over":[107],"union":[108],"(mIoU)":[109],"of":[110,159],"0.92":[111],"extent":[114],"0.83":[116],"boundary.":[118],"Additionally,":[119],"demonstrated":[122],"10%":[124],"improvement":[125],"connectivity,":[128],"measured":[129],"by":[130],"average":[131],"path":[132],"length":[133],"similarity":[134],"(APLS),":[135],"after":[136],"post-processing.":[137],"Cross-regional":[138],"validation":[139],"across":[140,178],"multiple":[141],"Chinese":[142],"provinces":[143],"sources":[146],"(Jilin-1,":[147],"Sentinel-2)":[148],"confirmed":[149],"'":[152],"s":[153],"strong":[154],"achieving":[156],"an":[157],"mIoU":[158],"0.90":[160],"Meishan":[162],"(Sichuan)":[163],"0.86":[165],"Yulin":[167],"(Shaanxi)":[168],"without":[169],"retraining.":[170],"effectively":[172],"addresses":[173],"discontinuity":[175],"generalizes":[177],"diverse":[179],"geographical":[180],"imaging":[182],"conditions,":[183],"offering":[184],"scalable":[186],"solution":[187],"precision":[189],"agriculture.":[190]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-01T00:00:00"}