{"id":"https://openalex.org/W3108683294","doi":"https://doi.org/10.1109/ccece47787.2020.9255715","title":"Eucalyptus Volume Estimation for Eucalyptus Clones Trees Using Artificial Neural Networks","display_name":"Eucalyptus Volume Estimation for Eucalyptus Clones Trees Using Artificial Neural Networks","publication_year":2020,"publication_date":"2020-08-30","ids":{"openalex":"https://openalex.org/W3108683294","doi":"https://doi.org/10.1109/ccece47787.2020.9255715","mag":"3108683294"},"language":"en","primary_location":{"id":"doi:10.1109/ccece47787.2020.9255715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038603833","display_name":"Welington G. Rodrigues","orcid":"https://orcid.org/0009-0003-5070-9309"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Welington Galvao Rodrigues","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058889780","display_name":"Christian Dias Cabacinha","orcid":"https://orcid.org/0000-0002-8148-083X"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Christian D. Cabacinha","raw_affiliation_strings":["Instituto de Ci\u00eancias Agr\u00e1rias, Universidade Federal de Minas Gerais, Montes Claros, MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Ci\u00eancias Agr\u00e1rias, Universidade Federal de Minas Gerais, Montes Claros, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074601290","display_name":"Rog\u00e9rio Salvini","orcid":"https://orcid.org/0000-0001-8889-6654"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rogerio Salvini","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025649736","display_name":"Gabriel da Silva Vieira","orcid":"https://orcid.org/0000-0002-6976-7811"},"institutions":[{"id":"https://openalex.org/I3020668385","display_name":"Instituto Federal Goiano","ror":"https://ror.org/0036c6m19","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020668385"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Vieira","raw_affiliation_strings":["Federal Institute Goiano, Computer Vision Laboratory, Uruta\u00ed, GO, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Institute Goiano, Computer Vision Laboratory, Uruta\u00ed, GO, Brazil","institution_ids":["https://openalex.org/I3020668385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089939358","display_name":"Deborah Fernandes","orcid":"https://orcid.org/0000-0002-2298-4552"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Deborah S.A. Fernandes","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039357068","display_name":"Fabr\u00edzzio Soares","orcid":"https://orcid.org/0000-0003-1598-1377"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]},{"id":"https://openalex.org/I75909800","display_name":"Southern Oregon University","ror":"https://ror.org/010kva064","country_code":"US","type":"education","lineage":["https://openalex.org/I75909800"]},{"id":"https://openalex.org/I907500627","display_name":"Ashland (United States)","ror":"https://ror.org/006nxzf98","country_code":"US","type":"company","lineage":["https://openalex.org/I907500627"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Fabrizzio Soares","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil","Southern Oregon University, Ashland, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, GO, Brazil","institution_ids":["https://openalex.org/I68106152"]},{"raw_affiliation_string":"Southern Oregon University, Ashland, OR, USA","institution_ids":["https://openalex.org/I75909800","https://openalex.org/I907500627"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"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":0.24576271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"91","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T11880","display_name":"Forest ecology and management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9753000140190125,"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/eucalyptus","display_name":"Eucalyptus","score":0.8505381345748901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7098157405853271},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6955789923667908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5954495668411255},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5591957569122314},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.5220441818237305},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5014374256134033},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4712439179420471},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42803889513015747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39886850118637085},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.3925851583480835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37018269300460815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3439081311225891},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.34068694710731506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24233850836753845},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19198527932167053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19137829542160034},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1489611566066742},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09504282474517822}],"concepts":[{"id":"https://openalex.org/C2779752776","wikidata":"https://www.wikidata.org/wiki/Q45669","display_name":"Eucalyptus","level":2,"score":0.8505381345748901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7098157405853271},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6955789923667908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5954495668411255},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5591957569122314},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.5220441818237305},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5014374256134033},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4712439179420471},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42803889513015747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39886850118637085},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.3925851583480835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37018269300460815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3439081311225891},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.34068694710731506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24233850836753845},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19198527932167053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19137829542160034},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1489611566066742},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09504282474517822},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece47787.2020.9255715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7599999904632568,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1482594067","https://openalex.org/W1991563031","https://openalex.org/W1997632044","https://openalex.org/W1999525425","https://openalex.org/W2002966798","https://openalex.org/W2005136695","https://openalex.org/W2026212992","https://openalex.org/W2076056303","https://openalex.org/W2090675543","https://openalex.org/W2097998348","https://openalex.org/W2099695702","https://openalex.org/W2112431331","https://openalex.org/W2118625899","https://openalex.org/W2150840155","https://openalex.org/W2155535261","https://openalex.org/W2311599690","https://openalex.org/W2402545041","https://openalex.org/W2557283755","https://openalex.org/W2771622871","https://openalex.org/W2773578505","https://openalex.org/W2919115771","https://openalex.org/W3173772072","https://openalex.org/W4285719527","https://openalex.org/W6674385629","https://openalex.org/W6682632298","https://openalex.org/W6713533039","https://openalex.org/W6797723956"],"related_works":["https://openalex.org/W2375928612","https://openalex.org/W2358803470","https://openalex.org/W2365823525","https://openalex.org/W2883563055","https://openalex.org/W2765876372","https://openalex.org/W2995370404","https://openalex.org/W2208843201","https://openalex.org/W1983585394","https://openalex.org/W3088563418","https://openalex.org/W2166137953"],"abstract_inverted_index":{"The":[0],"forest":[1,14,143],"inventory":[2,144],"is":[3,39,54,109],"an":[4,75],"instrument":[5],"of":[6,13,34,41,48,66,84,88,91,105],"great":[7],"importance":[8],"for":[9,24,46,81,136],"the":[10,32,37,42,64,82,89,102,106,116,127,132,137],"healthy":[11],"management":[12],"resources.":[15],"Although":[16],"It":[17],"can":[18,61,141],"be":[19],"used":[20,135],"in":[21,115],"many":[22],"applications,":[23],"example,":[25],"to":[26,30,57,113,126],"quantify":[27],"trees":[28,67],"or":[29,100],"identify":[31],"species":[33],"a":[35,49,110],"settlement,":[36],"volume":[38,65,90,138],"one":[40],"most":[43],"critical":[44],"elements":[45],"exploration":[47],"specific":[50],"area.":[51],"However,":[52],"it":[53],"very":[55],"challenging":[56],"find":[58],"methods":[59,123],"that":[60,97],"accurately":[62],"calculate":[63],"without":[68],"raising":[69],"costs.":[70],"Therefore,":[71],"this":[72],"study":[73],"presents":[74],"approach":[76],"with":[77],"artificial":[78],"neural":[79],"networks":[80],"prediction":[83],"diameters":[85],"and":[86,140],"calculation":[87],"eucalyptus":[92],"clones.":[93],"We":[94],"proposed":[95,122],"models":[96],"depend":[98],"on":[99],"not":[101],"total":[103,133],"height":[104],"tree,":[107],"which":[108],"measure":[111],"expensive":[112],"obtain":[114],"field.":[117],"A":[118],"result":[119],"shows":[120],"our":[121],"are":[124],"up-and-coming":[125],"traditional":[128],"techniques,":[129],"besides":[130],"reduce":[131],"features":[134],"estimation":[139],"support":[142],"automation.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
