{"id":"https://openalex.org/W4386361176","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233500","title":"High Performance Real-time Anomaly Detection for Agricultural Monitoring Systems","display_name":"High Performance Real-time Anomaly Detection for Agricultural Monitoring Systems","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386361176","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233500"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233500","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233500","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":null,"display_name":"Selim Eren Ery\u0131lmaz","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":"Selim Eren Ery\u0131lmaz","raw_affiliation_strings":["Istanbul Technical University,Computer Engineering,Istanbul,Turkey","Computer Engineering, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Computer Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Computer Engineering, Istanbul Technical University, Istanbul, Turkey","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,Turkey","National Software Certification Research Center, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,National Software Certification Research Center,Istanbul,Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"National Software Certification Research Center, Istanbul Technical University, Istanbul, Turkey","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,Turkey","Computer Engineering, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Computer Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Computer Engineering, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10695086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9947999715805054,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7711819410324097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790184378623962},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.5428630113601685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5038196444511414},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4717118442058563},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44293487071990967},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.442848265171051},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4415290951728821},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4109210968017578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26937705278396606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09314391016960144},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08975440263748169}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7711819410324097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790184378623962},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5428630113601685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5038196444511414},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4717118442058563},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44293487071990967},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.442848265171051},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4415290951728821},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4109210968017578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26937705278396606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09314391016960144},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08975440263748169},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233500","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233500","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.8100000023841858,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2122646361","https://openalex.org/W2587466508","https://openalex.org/W2778669055","https://openalex.org/W2903768396","https://openalex.org/W2944396970","https://openalex.org/W2986260558","https://openalex.org/W3100768346","https://openalex.org/W3134327046","https://openalex.org/W3155567600","https://openalex.org/W3156676741","https://openalex.org/W3209973645","https://openalex.org/W3213252911","https://openalex.org/W4309721579","https://openalex.org/W4317795336"],"related_works":["https://openalex.org/W2381688409","https://openalex.org/W2105642232","https://openalex.org/W2069446265","https://openalex.org/W3190734578","https://openalex.org/W1595351371","https://openalex.org/W91065195","https://openalex.org/W2964556660","https://openalex.org/W3191523773","https://openalex.org/W1995239016","https://openalex.org/W96694040"],"abstract_inverted_index":{"Due":[0],"to":[1,13,31,36,82,94],"technological":[2],"advancements,":[3],"real-time":[4,74],"monitoring":[5,42,76,161],"of":[6,46,123],"various":[7],"agricultural":[8,18,160],"parameters":[9,19],"has":[10,105],"become":[11],"essential":[12],"modern":[14],"farming":[15,34],"practices.":[16],"Monitoring":[17],"such":[20,111],"as":[21,112],"temperature,":[22],"humidity,":[23],"soil":[24],"moisture,":[25],"and":[26,48,96,115,132,140],"plant":[27],"growth":[28],"helps":[29],"farmers":[30],"optimize":[32],"their":[33],"practices":[35],"improve":[37],"crop":[38],"yields.":[39],"However,":[40],"near-real-time":[41],"involves":[43],"significant":[44],"amounts":[45],"data,":[47],"analyzing":[49],"this":[50,62,84],"data":[51,147],"in":[52,72,109,128,143,163],"real":[53],"time":[54],"for":[55,69,138],"anomalies":[56],"is":[57,135,152],"a":[58,66,78,91,155],"challenging":[59],"problem.":[60],"In":[61],"paper,":[63],"we":[64],"propose":[65],"novel":[67],"approach":[68],"anomaly":[70,116,126,175],"detection":[71,127,142,176],"near":[73],"agriculture":[75,129],"using":[77],"cortical":[79,87,124],"coding":[80,88],"method":[81,89,104,151,170],"address":[83],"issue.":[85],"The":[86,102,149],"utilizes":[90],"tree":[92],"structure":[93],"cluster":[95],"learn":[97],"patterns":[98],"from":[99,158],"time-series":[100],"data.":[101],"proposed":[103,150,169],"previously":[106],"proven":[107],"helpful":[108],"tasks":[110],"vector":[113],"quantization":[114],"detection.":[117],"This":[118],"paper":[119],"explores":[120],"the":[121,168],"application":[122],"coding-based":[125],"monitoring.":[130],"Incremental":[131],"continuous":[133],"learning":[134],"highly":[136],"beneficial":[137],"early":[139],"accurate":[141],"systems":[144],"with":[145],"large":[146],"streams.":[148],"evaluated":[153],"on":[154],"dataset":[156],"obtained":[157],"an":[159],"station":[162],"Turkey.":[164],"Experiments":[165],"show":[166],"that":[167],"outperforms":[171],"widely":[172],"used":[173],"forecast-based":[174],"methods.":[177]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}