{"id":"https://openalex.org/W2007007263","doi":"https://doi.org/10.1109/tgrs.2012.2217344","title":"Using Hyperspectral Spectrometry and Functional Models to Characterize Vine-Leaf Composition","display_name":"Using Hyperspectral Spectrometry and Functional Models to Characterize Vine-Leaf Composition","publication_year":2012,"publication_date":"2012-10-19","ids":{"openalex":"https://openalex.org/W2007007263","doi":"https://doi.org/10.1109/tgrs.2012.2217344","mag":"2007007263"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2217344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2217344","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10651/18708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002972103","display_name":"Celestino Ord\u00f3\u00f1ez","orcid":"https://orcid.org/0000-0002-6912-6299"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Celestino Ordonez","raw_affiliation_strings":["University of Oviedo, Oviedo, Spain","University of Oviedo , Oviedo , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oviedo, Oviedo, Spain","institution_ids":["https://openalex.org/I165339363"]},{"raw_affiliation_string":"University of Oviedo , Oviedo , Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042435724","display_name":"Jos\u00e9 Ram\u00f3n Rodr\u00edguez P\u00e9rez","orcid":"https://orcid.org/0000-0002-7776-2623"},"institutions":[{"id":"https://openalex.org/I8833935","display_name":"Universidad de Le\u00f3n","ror":"https://ror.org/02tzt0b78","country_code":"ES","type":"education","lineage":["https://openalex.org/I8833935"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose R. Rodriguez-Perez","raw_affiliation_strings":["Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain","[Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain","institution_ids":["https://openalex.org/I8833935"]},{"raw_affiliation_string":"[Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain]","institution_ids":["https://openalex.org/I8833935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032148777","display_name":"Juan Jose Moreira","orcid":null},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Jose Moreira","raw_affiliation_strings":["Galician Research and Development Center in Advanced Telecomunications, University of Vigo, Vigo, Spain","[Galician Research and Development Center in Advanced Telecomunications, University of Vigo, Vigo, Spain]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galician Research and Development Center in Advanced Telecomunications, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"[Galician Research and Development Center in Advanced Telecomunications, University of Vigo, Vigo, Spain]","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058273086","display_name":"Enoc Sanz\u2010Ablanedo","orcid":"https://orcid.org/0000-0001-9975-5726"},"institutions":[{"id":"https://openalex.org/I8833935","display_name":"Universidad de Le\u00f3n","ror":"https://ror.org/02tzt0b78","country_code":"ES","type":"education","lineage":["https://openalex.org/I8833935"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enoc Sanz","raw_affiliation_strings":["Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain","[Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain","institution_ids":["https://openalex.org/I8833935"]},{"raw_affiliation_string":"[Geomatic Engineering Research Group, University of Leon, Le\u00f3n, Spain]","institution_ids":["https://openalex.org/I8833935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8875,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.76550012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"51","issue":"5","first_page":"2610","last_page":"2618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9988999962806702,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.49769261479377747},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49767711758613586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4965668320655823},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.453634113073349},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4524364471435547},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4158706068992615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3703603744506836},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35449743270874023},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3299141526222229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28976625204086304}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.49769261479377747},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49767711758613586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4965668320655823},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.453634113073349},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4524364471435547},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4158706068992615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3703603744506836},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35449743270874023},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3299141526222229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28976625204086304},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2217344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2217344","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:digibuo.uniovi.es:10651/18708","is_oa":true,"landing_page_url":"http://hdl.handle.net/10651/18708","pdf_url":null,"source":{"id":"https://openalex.org/S4306402334","display_name":"Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educaci\u00f3n, Cultura y Deporte)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801976130","host_organization_name":"Ministerio de Educaci\u00f3n Cultura y Deporte","host_organization_lineage":["https://openalex.org/I2801976130"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WOK","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:digibuo.uniovi.es:10651/18708","is_oa":true,"landing_page_url":"http://hdl.handle.net/10651/18708","pdf_url":null,"source":{"id":"https://openalex.org/S4306402334","display_name":"Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educaci\u00f3n, Cultura y Deporte)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801976130","host_organization_name":"Ministerio de Educaci\u00f3n Cultura y Deporte","host_organization_lineage":["https://openalex.org/I2801976130"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WOK","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321551","display_name":"Chongqing University of Arts and Sciences","ror":"https://ror.org/01rcvq140"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W273944559","https://openalex.org/W1487726742","https://openalex.org/W1806465259","https://openalex.org/W1836164630","https://openalex.org/W1871264645","https://openalex.org/W1918546502","https://openalex.org/W1964552369","https://openalex.org/W1965697623","https://openalex.org/W1969717366","https://openalex.org/W1970028096","https://openalex.org/W1974110440","https://openalex.org/W1978617972","https://openalex.org/W1979390320","https://openalex.org/W1983306107","https://openalex.org/W1983960282","https://openalex.org/W1986786848","https://openalex.org/W1995926088","https://openalex.org/W2011741426","https://openalex.org/W2012845166","https://openalex.org/W2042548707","https://openalex.org/W2048303077","https://openalex.org/W2049398443","https://openalex.org/W2056352756","https://openalex.org/W2062161081","https://openalex.org/W2067844010","https://openalex.org/W2068377282","https://openalex.org/W2087875510","https://openalex.org/W2088484218","https://openalex.org/W2106631147","https://openalex.org/W2107867758","https://openalex.org/W2110079015","https://openalex.org/W2111947859","https://openalex.org/W2112889514","https://openalex.org/W2123241933","https://openalex.org/W2128438912","https://openalex.org/W2131632403","https://openalex.org/W2143220485","https://openalex.org/W2145669224","https://openalex.org/W2153941928","https://openalex.org/W2157471999","https://openalex.org/W2157760685","https://openalex.org/W2163410149","https://openalex.org/W2170232199","https://openalex.org/W2171063647","https://openalex.org/W2187587629","https://openalex.org/W4238717354","https://openalex.org/W4293747882","https://openalex.org/W4295134715","https://openalex.org/W4302599714","https://openalex.org/W6609974322"],"related_works":["https://openalex.org/W1976866108","https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W2390006526","https://openalex.org/W3216594821","https://openalex.org/W1915333409","https://openalex.org/W3215700490","https://openalex.org/W2393341384","https://openalex.org/W4289356671","https://openalex.org/W4363647291"],"abstract_inverted_index":{"Concentrations":[0],"of":[1,57,85,94,102,135,145],"certain":[2,49],"chemical":[3,87],"elements":[4],"in":[5],"plants":[6],"need":[7],"to":[8,11,53,82,119],"be":[9],"controlled":[10],"ensure":[12],"good":[13],"crop":[14],"quality":[15],"and":[16,24,36,51,78,92,100,110,133,149,176],"yield.":[17],"However,":[18],"laboratory":[19],"analyses":[20],"are":[21,33,40],"usually":[22],"time-consuming":[23],"expensive.":[25],"Although":[26],"indirect":[27],"methods":[28,155],"based":[29,41],"on":[30,42],"leaf":[31],"reflectance":[32,60,107,148],"both":[34],"faster":[35],"less":[37],"expensive,":[38],"most":[39],"indexes":[43],"that":[44],"only":[45],"take":[46,54],"into":[47],"account":[48],"wavelengths":[50],"fail":[52],"full":[55],"advantage":[56],"the":[58,83,86,114,124,136,150,186,194],"entire":[59],"curve":[61],"depicted":[62],"by":[63],"modern":[64],"hyperspectral":[65],"sensors.":[66],"This":[67],"paper":[68],"applies":[69],"two":[70],"functional":[71,75,79,166],"prediction":[72,84,163],"models,":[73,125],"i.e.,":[74],"linear":[76],"regression":[77],"nonparametric":[80,154],"methods,":[81],"characteristics":[88],"(moisture,":[89],"dry":[90],"mass,":[91],"concentrations":[93],"nitrogen,":[95],"phosphorus,":[96],"potassium,":[97],"calcium,":[98],"iron,":[99],"magnesium)":[101],"vine":[103],"leaves,":[104],"using":[105,129],"electromagnetic":[106],"between":[108,147],"350":[109],"2500":[111],"nm":[112],"as":[113,159],"input.":[115],"Cross-validation":[116],"was":[117,193],"used":[118],"obtain":[120],"optimal":[121],"parameters":[122],"for":[123],"which":[126],"were":[127,185],"tested":[128],"samples":[130],"reflecting":[131],"5%":[132],"10%":[134],"sample":[137],"size.":[138],"The":[139,153],"results":[140,158],"obtained":[141],"showed":[142],"different":[143],"levels":[144],"correlation":[146],"predicted":[151,188,196],"data.":[152],"yielded":[156],"better":[157],"they":[160],"produced":[161],"smaller":[162],"errors":[164],"than":[165],"regression.":[167],"Moisture":[168],"<formula":[169,178,198],"formulatype=\"inline\"":[170,179,199],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[171,180,200],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex":[172,181],"Notation=\"TeX\">$(R^{2}":[173,182,203],"=":[174,183,204],"0.96)$</tex></formula>":[175],"nitrogen":[177],"0.95)$</tex></formula>":[184],"best":[187],"components,":[189],"whereas":[190],"magnesium":[191],"content":[192],"worst":[195],"component":[197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[201],"<tex":[202],"0.77)$</tex></formula>":[205],".":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":27},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}