{"id":"https://openalex.org/W4386361220","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233578","title":"Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems","display_name":"Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386361220","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233578"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233578","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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/A5092820460","display_name":"Mehmet Selahaddin \u015eentop","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Mehmet Selahaddin \u015eentop","raw_affiliation_strings":["Istanbul Technical University,Computer Engineering,Istanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Computer Engineering,Istanbul,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077406351","display_name":"Meri\u00e7 Y\u00fccel","orcid":"https://orcid.org/0000-0003-3554-7922"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Meri\u00e7 Y\u00fccel","raw_affiliation_strings":["Istanbul Technical University,National Software Certification Research Center,Istanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,National Software Certification Research Center,Istanbul,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035553773","display_name":"Burak Berk \u00dcst\u00fcnda\u011f","orcid":"https://orcid.org/0000-0001-8143-9434"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burak Berk \u00dcst\u00fcnda\u011f","raw_affiliation_strings":["Istanbul Technical University,Computer Engineering,Istanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Computer Engineering,Istanbul,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092820460"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.1951,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84774583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.9926999807357788,"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":0.9926999807357788,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9894000291824341,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7822195887565613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727958619594574},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7236130237579346},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6764821410179138},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5911086201667786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5788922905921936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5566281080245972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5432376861572266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5268422961235046}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7822195887565613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727958619594574},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7236130237579346},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6764821410179138},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5911086201667786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5788922905921936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5566281080245972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432376861572266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5268422961235046}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233578","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/66294","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/66294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2253195177","https://openalex.org/W2613282090","https://openalex.org/W2684846153","https://openalex.org/W2788008270","https://openalex.org/W2797145206","https://openalex.org/W2889485154","https://openalex.org/W2906432502","https://openalex.org/W2944851425","https://openalex.org/W3000659041","https://openalex.org/W3001732295","https://openalex.org/W3007658705","https://openalex.org/W3010760658","https://openalex.org/W3017770080","https://openalex.org/W3034856749","https://openalex.org/W3055194044","https://openalex.org/W3091320486","https://openalex.org/W3099229606","https://openalex.org/W3103964896","https://openalex.org/W3106717751","https://openalex.org/W3110065895","https://openalex.org/W3110971880","https://openalex.org/W3114871366","https://openalex.org/W3142446268","https://openalex.org/W3162895636","https://openalex.org/W3213054505","https://openalex.org/W3216586734","https://openalex.org/W4211234836","https://openalex.org/W6737803472","https://openalex.org/W6781639888"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W3099765033"],"abstract_inverted_index":{"This":[0,99],"study":[1,100],"addresses":[2,113],"the":[3,46,85],"issue":[4],"of":[5,88],"missing,":[6],"distorted,":[7],"or":[8],"inaccurate":[9],"data":[10,16,38,53,115,135],"in":[11,22,30,54,158],"agricultural":[12,31,55,89],"monitoring":[13,90],"systems.":[14,57],"Such":[15],"issues":[17],"can":[18],"lead":[19],"to":[20,43,79,132],"errors":[21],"prediction":[23],"and":[24,33,51,76,128,137],"management":[25],"models,":[26],"affecting":[27],"various":[28],"applications":[29],"meteorology":[32],"remote":[34],"sensing.":[35],"Conventional":[36],"missing":[37,81,114],"completion":[39],"algorithms":[40],"often":[41],"fail":[42],"effectively":[44],"leverage":[45],"inherent":[47],"relationships":[48],"between":[49],"temporal":[50],"spatial":[52],"observation":[56],"Machine":[58],"learning":[59,94,105],"techniques,":[60],"specifically":[61],"deep":[62,104],"learning,":[63],"offer":[64],"a":[65,92,97,102,155],"promising":[66],"solution":[67],"by":[68],"considering":[69],"factors":[70],"such":[71],"as":[72],"time":[73,138,166],"windows,":[74,139],"seasons,":[75],"plant":[77],"characteristics":[78],"fill":[80],"data.":[82],"However,":[83],"managing":[84],"non-linear":[86],"nature":[87],"within":[91],"machine":[93],"framework":[95],"poses":[96],"challenge.":[98],"proposes":[101],"new":[103],"approach":[106],"called":[107],"Predictive":[108,120,150],"Error":[109,121,151,163],"Compensated":[110,122,152],"Network":[111,123],"that":[112],"reconstruction":[116,159],"while":[117],"mitigating":[118],"overfitting.":[119],"utilizes":[124],"feature":[125],"extraction":[126],"networks":[127],"Discrete":[129],"Wavelet":[130],"Transform":[131],"incorporate":[133],"different":[134,165],"types":[136],"improving":[140],"performance.":[141],"Evaluation":[142],"against":[143],"traditional":[144],"methods":[145],"demonstrated":[146],"superior":[147],"results":[148],"with":[149],"Network,":[153],"achieving":[154],"significant":[156],"reduction":[157],"Root":[160],"Mean":[161],"Squared":[162],"across":[164],"windows.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
