{"id":"https://openalex.org/W4313496272","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995970","title":"Classification of scenery using multinomial logistic regression in a sugarcane crop","display_name":"Classification of scenery using multinomial logistic regression in a sugarcane crop","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4313496272","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995970"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre56824.2022.9995970","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lars/sbr/wre56824.2022.9995970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","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/A5079020885","display_name":"Leonardo Bonacini","orcid":"https://orcid.org/0000-0002-9221-7981"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo Bonacini","raw_affiliation_strings":["University of São Paulo,Dept. of Mechanical Engineering,São Carlos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of São Paulo,Dept. of Mechanical Engineering,São Carlos,SP,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073338423","display_name":"Handel Emanuel Natividade Peres","orcid":null},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Handel Emanuel Natividade Peres","raw_affiliation_strings":["University of São Paulo,Dept. of Mechanical Engineering,São Carlos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of São Paulo,Dept. of Mechanical Engineering,São Carlos,SP,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048175524","display_name":"Vitor Akihiro Hisano Higuti","orcid":"https://orcid.org/0000-0002-7008-4081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vitor Akihiro Higuti","raw_affiliation_strings":["EarthSense Co.,Champaign,IL,USA,61820"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EarthSense Co.,Champaign,IL,USA,61820","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005609140","display_name":"Vivian Suzano Medeiros","orcid":"https://orcid.org/0000-0002-3866-8538"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vivian Suzano Medeiros","raw_affiliation_strings":["University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002220583","display_name":"Marcelo Becker","orcid":"https://orcid.org/0000-0002-7508-5817"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Becker","raw_affiliation_strings":["University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086553898","display_name":"M\u00e1rio Luiz Tronco","orcid":"https://orcid.org/0000-0002-3050-466X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mario Luiz Tronco","raw_affiliation_strings":["University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of São Paulo,Dept. of Mechanical Engineering,São Carlos,Brazil","institution_ids":["https://openalex.org/I177909021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.26479623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201503872871399},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6059147119522095},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5325058698654175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519966721534729},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.508667528629303},{"id":"https://openalex.org/keywords/real-time-kinematic","display_name":"Real Time Kinematic","score":0.47659915685653687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4597158432006836},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.45518630743026733},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.45116546750068665},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.43366992473602295},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.422539085149765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3631730079650879},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2985978126525879},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2017027735710144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201503872871399},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6059147119522095},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5325058698654175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519966721534729},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.508667528629303},{"id":"https://openalex.org/C93103318","wikidata":"https://www.wikidata.org/wiki/Q980965","display_name":"Real Time Kinematic","level":4,"score":0.47659915685653687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4597158432006836},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.45518630743026733},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.45116546750068665},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.43366992473602295},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.422539085149765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3631730079650879},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2985978126525879},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2017027735710144},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre56824.2022.9995970","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lars/sbr/wre56824.2022.9995970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6299999952316284,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G7058074827","display_name":null,"funder_award_id":"2021/05336-3","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2113551198","https://openalex.org/W2558551879","https://openalex.org/W2866175125","https://openalex.org/W2891333021","https://openalex.org/W2907127092","https://openalex.org/W2998715604","https://openalex.org/W3020952808","https://openalex.org/W3036135061","https://openalex.org/W3047975648","https://openalex.org/W3049515965","https://openalex.org/W3089511161","https://openalex.org/W3092489610","https://openalex.org/W3093836846","https://openalex.org/W3120634591","https://openalex.org/W3124054352","https://openalex.org/W3212129965","https://openalex.org/W3213690880","https://openalex.org/W4200067036","https://openalex.org/W4239371029","https://openalex.org/W4286248457","https://openalex.org/W6786697239"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033"],"abstract_inverted_index":{"Autonomous":[0],"navigation":[1,88,228,234],"is":[2],"an":[3,142,197],"important":[4],"skill":[5],"for":[6,19,29,81,106,165,212],"robots":[7,31],"that":[8,85,204],"perform":[9],"tasks":[10],"in":[11,70,184],"the":[12,79,95,122,125,128,154,157,173,214,217,226,232],"agricultural":[13,108,143,191,215],"field.":[14],"The":[15,193],"main":[16],"sensors":[17,56],"used":[18,136,181],"this":[20,76,99,101,115,205,223],"application":[21],"are":[22,68,162,170,180],"GPS,":[23],"camera,":[24],"and":[25,37,54,73,133,220],"LiDAR.":[26],"Navigation":[27],"methodologies":[28],"such":[30],"either":[32],"focus":[33],"on":[34,41,94,98,111,141,149],"global":[35],"localization":[36],"path":[38,46],"planning":[39,47],"based":[40,110],"GPS":[42],"information":[43,224],"or":[44],"local":[45],"employing":[48],"a":[49,82,104,150,185,209],"perception":[50],"system,":[51],"using":[52,172],"cameras":[53],"LiDAR":[55,112],"to":[57,61,145,189,225,230],"extract":[58],"crop":[59,126],"characteristics":[60],"suggest":[62],"control":[63],"actions.":[64],"Since":[65],"mobile":[66],"platforms":[67],"limited":[69],"both":[71],"energetic":[72],"computational":[74],"power,":[75],"situation":[77],"highlights":[78],"need":[80],"high-level":[83],"system":[84,105,229],"chooses":[86],"which":[87],"algorithm":[89],"should":[90],"be":[91,208],"employed":[92],"depending":[93],"environment.":[96],"Based":[97],"information,":[100],"work":[102],"presents":[103],"classifying":[107,213],"scenarios":[109],"data.":[113],"In":[114],"work,":[116],"we":[117],"separate":[118],"four":[119],"conditions":[120],"concerning":[121],"position":[123],"of":[124,199],"around":[127],"robot:":[129],"\u2018betweenRowCrop\u2019,":[130],"\u2018leftRowCrop\u2019,":[131],"\u2018rightRowCrop\u2019,":[132],"\u2018noRowCrop\u2019.":[134],"We":[135],"two":[137],"Hokuyo":[138],"UTM30-LX":[139],"LiDARs":[140],"robot":[144,218],"collect":[146],"extensive":[147],"data":[148,155],"sugarcane":[151],"crop.":[152],"With":[153],"from":[156],"LiDAR,":[158],"several":[159],"statistical":[160],"measures":[161],"obtained":[163],"and,":[164],"each":[166],"variable,":[167],"outlier":[168],"samples":[169],"removed":[171],"IQR":[174],"rule.":[175],"After":[176],"that,":[177],"these":[178],"variables":[179],"as":[182],"predictors":[183],"Multinomial":[186],"Logistic":[187],"Regression":[188],"classify":[190],"scenes.":[192],"final":[194],"model":[195,206],"presented":[196],"accuracy":[198],"approximately":[200],"99%.":[201],"This":[202],"indicates":[203],"could":[207],"promising":[210],"solution":[211],"scenery":[216],"encounters":[219],"then":[221],"passing":[222],"robot's":[227],"choose":[231],"appropriate":[233],"method.":[235]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}