{"id":"https://openalex.org/W7117682771","doi":"https://doi.org/10.1109/wincom65874.2025.11313439","title":"Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems","display_name":"Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7117682771","doi":"https://doi.org/10.1109/wincom65874.2025.11313439"},"language":null,"primary_location":{"id":"doi:10.1109/wincom65874.2025.11313439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121655431","display_name":"Anas Abouaomar","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Anas Abouaomar","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002569603","display_name":"Mohammed El Hanjri","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed El hanjri","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121665700","display_name":"Abdellatif Kobbane","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellatif Kobbane","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026956084","display_name":"Anis Laouiti","orcid":"https://orcid.org/0000-0002-1287-4739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anis Laouiti","raw_affiliation_strings":["Institut Polytechnique de Paris,Samovar, Télécom SudParis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,Samovar, Télécom SudParis,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021238560","display_name":"Khalid Nafil","orcid":"https://orcid.org/0000-0003-4963-0225"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Khalid Nafil","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5121655431"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":1.5323,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88728109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9556000232696533,"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":0.9556000232696533,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.009999999776482582,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4927000105381012},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.47929999232292175},{"id":"https://openalex.org/keywords/agricultural-productivity","display_name":"Agricultural productivity","score":0.4546999931335449},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.39169999957084656},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.38179999589920044},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.37389999628067017},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237999796867371},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C128383755","wikidata":"https://www.wikidata.org/wiki/Q3816336","display_name":"Agricultural productivity","level":3,"score":0.4546999931335449},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.32739999890327454},{"id":"https://openalex.org/C2989409935","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Crop production","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom65874.2025.11313439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6371296048164368,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2991004173","https://openalex.org/W3009325463","https://openalex.org/W3020885311","https://openalex.org/W4205265028","https://openalex.org/W4224262403","https://openalex.org/W4387870209","https://openalex.org/W4389264453","https://openalex.org/W4389303584","https://openalex.org/W4389426169","https://openalex.org/W4401000625","https://openalex.org/W4401331503","https://openalex.org/W4401377982","https://openalex.org/W4402159061","https://openalex.org/W4402992072","https://openalex.org/W4404241936","https://openalex.org/W4406776072","https://openalex.org/W4407666530","https://openalex.org/W4409310692","https://openalex.org/W4410714049","https://openalex.org/W4410882460"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"presents":[4],"a":[5,25,61,89],"novel":[6],"hierarchical":[7,100,159],"federated":[8,160],"learning":[9,151,161],"architecture":[10,44],"specifically":[11],"designed":[12],"for":[13,106,167],"smart":[14,48],"agricultural":[15,39,115,164,175],"production":[16],"systems":[17],"and":[18,60,110,121,136,173],"crop":[19,71,81,108],"yield":[20,142],"prediction.":[21],"Our":[22],"approach":[23],"introduces":[24],"seasonal":[26],"subscription":[27],"mechanism":[28],"where":[29],"farms":[30,49],"join":[31],"crop-specific":[32,54],"clusters":[33],"at":[34,50,56,65],"the":[35,51,57,66,127,130,156,163],"beginning":[36],"of":[37,46,129,158],"each":[38,70],"season.":[40],"The":[41,153],"proposed":[42,131],"three-layer":[43],"consists":[45],"individual":[47,107],"client":[52],"level,":[53],"aggregators":[55],"middle":[58],"layer,":[59],"global":[62,91,111],"model":[63,92],"aggregator":[64],"top":[67],"level.":[68],"Within":[69],"cluster,":[72],"clients":[73],"collaboratively":[74],"train":[75],"specialized":[76],"models":[77,138],"tailored":[78],"to":[79,87],"specific":[80],"types,":[82],"which":[83],"are":[84],"then":[85],"aggregated":[86],"produce":[88],"higher-level":[90],"that":[93,134],"integrates":[94],"knowledge":[95],"across":[96,113],"multiple":[97],"crops.":[98],"This":[99],"design":[101],"enables":[102],"both":[103],"local":[104,135],"specialization":[105],"types":[109],"generalization":[112],"diverse":[114],"contexts":[116],"while":[117],"preserving":[118],"data":[119],"privacy":[120],"reducing":[122],"communication":[123],"overhead.":[124],"Experiments":[125],"demonstrate":[126],"effectiveness":[128],"system,":[132],"showing":[133],"crop-layer":[137],"closely":[139],"follow":[140],"actual":[141],"patterns":[143],"with":[144],"consistent":[145],"alignment,":[146],"significantly":[147],"outperforming":[148],"standard":[149],"machine":[150],"models.":[152],"results":[154],"validate":[155],"advantages":[157],"in":[162],"context,":[165],"particularly":[166],"scenarios":[168],"involving":[169],"heterogeneous":[170],"farming":[171],"environments":[172],"privacy-sensitive":[174],"data.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-12-31T00:00:00"}