{"id":"https://openalex.org/W4390876307","doi":"https://doi.org/10.3390/rs16020346","title":"Convolutional Neural Network-Based Method for Agriculture Plot Segmentation in Remote Sensing Images","display_name":"Convolutional Neural Network-Based Method for Agriculture Plot Segmentation in Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-15","ids":{"openalex":"https://openalex.org/W4390876307","doi":"https://doi.org/10.3390/rs16020346"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020346","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020346","pdf_url":"https://www.mdpi.com/2072-4292/16/2/346/pdf?version=1705331805","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/2/346/pdf?version=1705331805","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078975131","display_name":"Liang Qi","orcid":"https://orcid.org/0000-0002-8148-1429"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Qi","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Danfeng Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Zuo","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676296","display_name":"Yirong Wang","orcid":"https://orcid.org/0000-0002-7879-8118"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yirong Wang","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074918980","display_name":"Ye Tao","orcid":"https://orcid.org/0000-0001-5470-9451"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tao","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109674284","display_name":"Runkang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runkang Tang","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063678508","display_name":"Jiayu Shi","orcid":"https://orcid.org/0009-0006-6491-4719"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Shi","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114176173","display_name":"Jiajun Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Gong","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;"],"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China;","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102844137","display_name":"Bangyu Li","orcid":"https://orcid.org/0000-0002-9887-3242"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangyu Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102844137"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210096899"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1758,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85709665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"346","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9916999936103821,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/computer-science","display_name":"Computer science","score":0.759705662727356},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6801161766052246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984159708023071},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5782256126403809},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.573017954826355},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5665687322616577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47628846764564514},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45353034138679504},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4399165213108063},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4245308041572571},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4130241572856903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32374870777130127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11927229166030884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0974256694316864},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06613317131996155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759705662727356},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6801161766052246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984159708023071},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5782256126403809},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.573017954826355},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5665687322616577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47628846764564514},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45353034138679504},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4399165213108063},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4245308041572571},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4130241572856903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32374870777130127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11927229166030884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0974256694316864},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06613317131996155},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16020346","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020346","pdf_url":"https://www.mdpi.com/2072-4292/16/2/346/pdf?version=1705331805","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5cb6aa329d2c4d6995cd06e4767bd55c","is_oa":true,"landing_page_url":"https://doaj.org/article/5cb6aa329d2c4d6995cd06e4767bd55c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 346 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16020346","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020346","pdf_url":"https://www.mdpi.com/2072-4292/16/2/346/pdf?version=1705331805","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"},{"id":"https://openalex.org/F4320327500","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390876307.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2072175295","https://openalex.org/W2167594433","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2500751094","https://openalex.org/W2538244214","https://openalex.org/W2601564443","https://openalex.org/W2884585870","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2965719507","https://openalex.org/W2972878675"],"related_works":["https://openalex.org/W2897156099","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2245242553","https://openalex.org/W4285411112","https://openalex.org/W2521347458","https://openalex.org/W3041711126","https://openalex.org/W2085033728"],"abstract_inverted_index":{"Accurate":[0],"delineation":[1],"of":[2,18,28,153,157,161,169,201,213],"individual":[3],"agricultural":[4,19],"plots,":[5],"the":[6,26,36,65,69,77,81,103,108,116,123,130,138,147,173,192,199,209,214],"foundational":[7],"units":[8],"for":[9,14,61,89,177],"agriculture-based":[10],"activities,":[11],"is":[12,73,185,190],"crucial":[13],"effective":[15],"government":[16],"oversight":[17],"productivity":[20],"and":[21,50,55,80,114,128,163,187,211],"land":[22,180,204],"utilization.":[23],"To":[24],"improve":[25,86,107,129],"accuracy":[27],"plot":[29,90,142,215],"segmentation":[30,71,91,143,216],"in":[31,75,92,102],"high-resolution":[32,93],"remote":[33,41,94,140,178,202],"sensing":[34,42,95,141,179,203],"images,":[35,43],"paper":[37],"collects":[38],"GF-2":[39],"satellite":[40],"uses":[44],"ArcGIS10.3.1":[45],"software":[46],"to":[47,84,106,126,172],"establish":[48],"datasets,":[49],"builds":[51],"UNet,":[52],"SegNet,":[53],"DeeplabV3+,":[54],"TransUNet":[56,66,148,175,194],"neural":[57],"network":[58,67,113,149,176,195],"frameworks,":[59],"respectively,":[60],"experimental":[62],"analysis.":[63],"Then,":[64],"with":[68],"best":[70],"effects":[72],"optimized":[74,139,193],"both":[76],"residual":[78,104],"module":[79,105,120],"skip":[82,124,131],"connection":[83,125,132],"further":[85],"its":[87],"performance":[88,200],"images.":[96],"This":[97],"article":[98],"introduces":[99],"Deformable":[100],"ConvNets":[101],"original":[109,174],"ResNet50":[110],"feature":[111],"extraction":[112],"combines":[115],"convolutional":[117],"block":[118],"attention":[119],"(CBAM)":[121],"at":[122],"calculate":[127],"steps.":[133],"Experimental":[134],"results":[135],"indicate":[136],"that":[137],"algorithm":[144],"based":[145],"on":[146],"achieves":[150],"an":[151,159,164],"Accuracy":[152],"86.02%,":[154],"a":[155],"Recall":[156],"83.32%,":[158],"F1-score":[160],"84.67%,":[162],"Intersection":[165],"over":[166],"Union":[167],"(IOU)":[168],"86.90%.":[170],"Compared":[171],"parcel":[181,205],"segmentation,":[182,206],"whose":[183,188],"F1-S":[184],"81.94%":[186],"IoU":[189],"69.41%,":[191],"has":[196],"significantly":[197],"improved":[198],"which":[207],"verifies":[208],"effectiveness":[210],"reliability":[212],"algorithm.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}