{"id":"https://openalex.org/W2828730812","doi":"https://doi.org/10.1109/siu.2018.8404765","title":"Determination of water stress for pepper from spectral reflections through artificial learning methods","display_name":"Determination of water stress for pepper from spectral reflections through artificial learning methods","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2828730812","doi":"https://doi.org/10.1109/siu.2018.8404765","mag":"2828730812"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","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/A5053942195","display_name":"Kerim Karada\u011f","orcid":"https://orcid.org/0000-0001-5167-4054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kerim Karadag","raw_affiliation_strings":["Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068921563","display_name":"Ramazan Ta\u015falt\u0131\u0301n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramazan Ta\u015faltin","raw_affiliation_strings":["Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014792555","display_name":"Mehmet Emin Tenekeci","orcid":"https://orcid.org/0000-0001-5944-4704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Emin Tenekeci","raw_affiliation_strings":["Bilgisayar Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082765293","display_name":"Abd\u00fclkadir G\u00fcm\u00fc\u015f\u00e7\u00fc","orcid":"https://orcid.org/0000-0002-5948-595X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abd\u00fclkadir G\u00fcm\u00fc\u015f\u00e7\u00fc","raw_affiliation_strings":["Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik Mühendisliği Bölümü, Harran Üniversitesi, Şanlıurfa, Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06137688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9919999837875366,"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":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pepper","display_name":"Pepper","score":0.9188839197158813},{"id":"https://openalex.org/keywords/irrigation","display_name":"Irrigation","score":0.6119507551193237},{"id":"https://openalex.org/keywords/water-stress","display_name":"Water stress","score":0.5849115252494812},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4794958233833313},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45102235674858093},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4501875340938568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.444401353597641},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3256889581680298},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.2858915328979492},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.28564780950546265},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.26548266410827637},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21602299809455872},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0747765600681305}],"concepts":[{"id":"https://openalex.org/C2776242653","wikidata":"https://www.wikidata.org/wiki/Q22907699","display_name":"Pepper","level":2,"score":0.9188839197158813},{"id":"https://openalex.org/C88862950","wikidata":"https://www.wikidata.org/wiki/Q11453","display_name":"Irrigation","level":2,"score":0.6119507551193237},{"id":"https://openalex.org/C2983671280","wikidata":"https://www.wikidata.org/wiki/Q5376358","display_name":"Water stress","level":2,"score":0.5849115252494812},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4794958233833313},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45102235674858093},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4501875340938568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.444401353597641},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3256889581680298},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.2858915328979492},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.28564780950546265},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.26548266410827637},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21602299809455872},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0747765600681305},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1934786650","https://openalex.org/W1972664953","https://openalex.org/W1980237824","https://openalex.org/W1994378716","https://openalex.org/W1999955220","https://openalex.org/W2016409087","https://openalex.org/W2025757188","https://openalex.org/W2041636156","https://openalex.org/W2057561369","https://openalex.org/W2087875510","https://openalex.org/W2099369038","https://openalex.org/W2139925058","https://openalex.org/W2154083639","https://openalex.org/W2528579885"],"related_works":["https://openalex.org/W1554306270"],"abstract_inverted_index":{"Irrigation":[0],"is":[1,44,47,55,63,99,163],"one":[2],"of":[3,35,41,85,147,155],"the":[4,60,97,151,156,161,178],"important":[5],"issues":[6],"that":[7,43],"determine":[8,58],"growing":[9],"crops":[10],"and":[11,26,30,170],"soil":[12,25],"quality":[13],"in":[14,18,64,96],"agriculture.":[15,50],"With":[16],"this":[17,52,71],"mind,":[19],"irrigation":[20],"should":[21],"be":[22],"done":[23],"considering":[24],"climate":[27],"factors.":[28],"Plants":[29],"fruits":[31],"need":[32],"different":[33],"amount":[34,40],"water":[36,42,65,80],"every":[37],"period.":[38],"The":[39,92,104,117,130,165],"not":[45],"given":[46],"negatively":[48],"affecting":[49],"In":[51,150],"study,":[53],"it":[54],"tried":[56],"to":[57,79,114,127,140,160],"whether":[59],"pepper":[61,76,111,124,137],"plant":[62],"stress":[66,144],"by":[67],"spectral":[68,73],"reflections.":[69],"For":[70],"purpose,":[72],"reflections":[74,109,122,135],"from":[75,110,123,136],"leaves":[77,112,125,138],"exposed":[78,113,126,139],"stress,":[81],"were":[82,175],"recorded.":[83],"Classification":[84],"these":[86],"reflection":[87],"data":[88,93,162],"has":[89],"been":[90],"performed.":[91,164],"set":[94],"used":[95,176],"study":[98],"divided":[100],"into":[101],"three":[102],"groups.":[103],"first":[105],"group":[106,119,132],"(A)":[107],"contains":[108,121,134],"100%":[115],"water.":[116,129,142],"second":[118,152],"(B)":[120],"75%":[128],"third":[131],"(C)":[133],"50%":[141],"Water":[143],"detection":[145],"consists":[146],"two":[148],"steps.":[149],"stage,":[153],"classification":[154],"feature":[157],"vectors":[158],"related":[159],"K":[166],"nearest":[167],"neighbors":[168],"(KNN)":[169],"Artificial":[171],"Neural":[172],"Networks":[173],"methods":[174],"as":[177],"classification.":[179]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}