{"id":"https://openalex.org/W3168788753","doi":"https://doi.org/10.1109/access.2021.3089665","title":"Multi-Label Data Fusion to Support Agricultural Vulnerability Assessments","display_name":"Multi-Label Data Fusion to Support Agricultural Vulnerability Assessments","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3168788753","doi":"https://doi.org/10.1109/access.2021.3089665","mag":"3168788753"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3089665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3089665","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3089665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026229282","display_name":"Iv\u00e1n Dar\u00edo L\u00f3pez","orcid":"https://orcid.org/0000-0002-9781-6094"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Ivan Dario Lopez","raw_affiliation_strings":["Telematics Engineering Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-9781-6094","affiliations":[{"raw_affiliation_string":"Telematics Engineering Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia","institution_ids":["https://openalex.org/I152650591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064306029","display_name":"Apolinar Figueroa Casas","orcid":"https://orcid.org/0000-0003-3586-8187"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Apolinar Figueroa","raw_affiliation_strings":["Environmental Studies Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia"],"raw_orcid":"https://orcid.org/0000-0003-3586-8187","affiliations":[{"raw_affiliation_string":"Environmental Studies Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia","institution_ids":["https://openalex.org/I152650591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084306663","display_name":"Juan Carlos Corrales","orcid":"https://orcid.org/0000-0002-5608-9097"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Juan Carlos Corrales","raw_affiliation_strings":["Telematics Engineering Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-5608-9097","affiliations":[{"raw_affiliation_string":"Telematics Engineering Group, University of Cauca at Tulc&#x00E1;n, Popay&#x00E1;n, Colombia","institution_ids":["https://openalex.org/I152650591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152650591"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6027,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67727143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"88313","last_page":"88326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.883899986743927,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.883899986743927,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.8797000050544739,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.8589000105857849,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7580236196517944},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7371073365211487},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6794471144676208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485954523086548},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5857570767402649},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47651565074920654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45427829027175903},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.43982818722724915},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42899060249328613},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41300150752067566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3779049515724182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33925747871398926},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0924476683139801}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7580236196517944},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7371073365211487},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6794471144676208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485954523086548},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5857570767402649},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47651565074920654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45427829027175903},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.43982818722724915},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42899060249328613},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41300150752067566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3779049515724182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33925747871398926},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0924476683139801},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3089665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3089665","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f97174217f64ac4b1ef62af5eed3875","is_oa":true,"landing_page_url":"https://doaj.org/article/9f97174217f64ac4b1ef62af5eed3875","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 88313-88326 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3089665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3089665","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1196454467","display_name":null,"funder_award_id":"ES/S008179/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W64205946","https://openalex.org/W1547612978","https://openalex.org/W1996782572","https://openalex.org/W2021142183","https://openalex.org/W2021581601","https://openalex.org/W2027608411","https://openalex.org/W2034190452","https://openalex.org/W2052391074","https://openalex.org/W2052561043","https://openalex.org/W2068381486","https://openalex.org/W2085536045","https://openalex.org/W2090231298","https://openalex.org/W2091110954","https://openalex.org/W2114315281","https://openalex.org/W2128209776","https://openalex.org/W2133223948","https://openalex.org/W2139412680","https://openalex.org/W2148333466","https://openalex.org/W2168745915","https://openalex.org/W2196828803","https://openalex.org/W2241072627","https://openalex.org/W2315900753","https://openalex.org/W2318802957","https://openalex.org/W2400255364","https://openalex.org/W2404002593","https://openalex.org/W2495184099","https://openalex.org/W2519969774","https://openalex.org/W2548015261","https://openalex.org/W2548254147","https://openalex.org/W2548942021","https://openalex.org/W2569903183","https://openalex.org/W2594139069","https://openalex.org/W2715319929","https://openalex.org/W2726884336","https://openalex.org/W2754319208","https://openalex.org/W2767620887","https://openalex.org/W2787932447","https://openalex.org/W2802345189","https://openalex.org/W2808239701","https://openalex.org/W2810986024","https://openalex.org/W2892959751","https://openalex.org/W2896318470","https://openalex.org/W2901576309","https://openalex.org/W2905904241","https://openalex.org/W2912036566","https://openalex.org/W2913711131","https://openalex.org/W2942076272","https://openalex.org/W2963680343","https://openalex.org/W2966027244","https://openalex.org/W2995504058","https://openalex.org/W3000309135","https://openalex.org/W3013107678","https://openalex.org/W3023253508","https://openalex.org/W3048731332","https://openalex.org/W3095898212","https://openalex.org/W3098635759","https://openalex.org/W3102943483","https://openalex.org/W3124850351","https://openalex.org/W4242744113","https://openalex.org/W4245256727","https://openalex.org/W6713161894","https://openalex.org/W6729495329","https://openalex.org/W6748947135","https://openalex.org/W6757279736"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Identifying":[0],"crop":[1,205],"species":[2],"and":[3,25,33,44,50,59,103,126,137,179,187,212,216,236],"varieties":[4],"adaptable":[5],"to":[6,30,70,134,154],"climate":[7,17,72],"change":[8],"impacts":[9],"is":[10],"one":[11],"of":[12,16,79,94,160,175,231],"the":[13,41,77,85,91,129,150,173,191,195,208,213],"main":[14],"aspects":[15],"vulnerability":[18,73],"assessments.":[19],"This":[20,88],"estimation":[21],"involves":[22],"processing,":[23],"integrating,":[24],"analyzing":[26],"many":[27],"information":[28,42],"sources":[29,133],"provide":[31],"accurate":[32],"timely":[34],"responses.":[35],"However,":[36],"designing":[37],"this":[38,62,116],"evaluation,":[39],"examine":[40],"gathered,":[43],"reaching":[45],"agreements":[46],"among":[47,146],"all":[48],"stakeholders":[49],"experts,":[51],"often":[52],"requires":[53],"considerable":[54],"effort":[55],"in":[56,81,84,109,162],"time,":[57],"money,":[58],"people.":[60],"In":[61],"study,":[63],"we":[64,118,148,198,226],"propose":[65],"a":[66,82,106,163,168,200,220,228],"data":[67,96,132],"fusion":[68,97],"strategy":[69,89],"support":[71],"assessments":[74],"by":[75],"identifying":[76],"adaptability":[78,159],"crops":[80,161,193],"territory":[83,164],"short":[86],"term.":[87],"follows":[90],"Joint":[92],"Directors":[93],"Laboratories\u2019":[95],"model":[98],"guidelines.":[99],"It":[100],"was":[101,165],"evaluated":[102,149],"validated":[104],"through":[105],"case":[107],"study":[108],"Colombia\u2019s":[110],"upper":[111],"Cauca":[112],"river":[113],"basin.":[114],"For":[115],"purpose,":[117],"identified":[119],"Climate,":[120],"Soil,":[121],"Water":[122],"Quality,":[123],"Productive":[124],"Alliances,":[125],"Production":[127],"as":[128,141,167],"most":[130],"relevant":[131],"be":[135],"integrated,":[136],"using":[138,207],"metrics":[139],"such":[140],"Mean":[142],"IR,":[143],"SCUMBLE,":[144],"TCS,":[145],"others,":[147],"combined":[151],"datasets":[152],"according":[153],"their":[155],"theoretical":[156],"complexity.":[157],"The":[158],"addressed":[166],"multi-label":[169,177,181],"learning":[170],"problem,":[171],"assessing":[172],"performance":[174],"different":[176],"classification":[178,182],"multi-view":[180],"models":[183],"with":[184,194],"both":[185],"test":[186,223],"actual":[188,196],"data.":[189],"Comparing":[190],"predicted":[192],"ones,":[197],"obtained":[199,227],"98%":[201],"similarity":[202,230],"without":[203],"considering":[204],"ranking":[206],"Binary":[209,234],"Relevance":[210,235],"approach":[211],"Random":[214,237],"Forest":[215],"XGBoost":[217],"algorithms.":[218],"Using":[219],"more":[221],"exhaustive":[222],"involving":[224],"order,":[225],"maximum":[229],"67%":[232],"applying":[233],"Forest.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
