{"id":"https://openalex.org/W4389332237","doi":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332920","title":"Line Detection and Segmentation of Annual Crops Using Hybrid Method","display_name":"Line Detection and Segmentation of Annual Crops Using Hybrid Method","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389332237","doi":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332920"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre59448.2023.10332920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)","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/A5109661658","display_name":"\u00c9rick Cardoso Gon\u00e7alves","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00c9rick Cardoso Gon\u00e7alves","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049883276","display_name":"Gustavo P. de Almeida","orcid":"https://orcid.org/0000-0002-2424-9818"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Pereira de Almeida","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100310997","display_name":"Eduardo Lawson Da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Lawson Da Silva","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043687575","display_name":"Tatiana Ta\u00eds Schein","orcid":"https://orcid.org/0000-0003-1851-5689"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tatiana Ta\u00eds Schein","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006158794","display_name":"Paulo Jefferson Dias de Oliveira Evald","orcid":"https://orcid.org/0000-0002-5383-053X"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Jefferson Dias de Oliveira Evald","raw_affiliation_strings":["Universidade Federal de Pelotas,Centro de Engenharia,Pelotas,RS,Brasil","Centro de Engenharia, Universidade Federal de Pelotas, Pelotas, RS, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pelotas,Centro de Engenharia,Pelotas,RS,Brasil","institution_ids":["https://openalex.org/I169248161"]},{"raw_affiliation_string":"Centro de Engenharia, Universidade Federal de Pelotas, Pelotas, RS, Brasil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037041582","display_name":"Paulo Drews","orcid":"https://orcid.org/0000-0002-7519-0502"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Lilles Jorge Drews-Jr","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ciências Computacionais,Rio Grande,RS,Brasil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7328,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82341443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"472","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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":0.9940000176429749,"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/hough-transform","display_name":"Hough transform","score":0.7566865682601929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366028428077698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987591981887817},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6576417088508606},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.5325989127159119},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5235607028007507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.501230001449585},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48143336176872253},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.42179322242736816},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3914559483528137},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3887891173362732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36874061822891235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3101644515991211},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.1772206425666809}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7566865682601929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366028428077698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987591981887817},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6576417088508606},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5325989127159119},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5235607028007507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.501230001449585},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48143336176872253},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.42179322242736816},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3914559483528137},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3887891173362732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36874061822891235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3101644515991211},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.1772206425666809},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre59448.2023.10332920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1973700570","https://openalex.org/W2026131180","https://openalex.org/W2108598243","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2329730599","https://openalex.org/W2589112598","https://openalex.org/W2762630287","https://openalex.org/W2782108543","https://openalex.org/W2805267014","https://openalex.org/W2892071132","https://openalex.org/W2944444936","https://openalex.org/W2953821538","https://openalex.org/W2964309882","https://openalex.org/W2973268792","https://openalex.org/W2994866182","https://openalex.org/W3010329196","https://openalex.org/W3010585858","https://openalex.org/W3086862194","https://openalex.org/W3102214643","https://openalex.org/W3135018180","https://openalex.org/W3195217426","https://openalex.org/W3198134510","https://openalex.org/W4214857252","https://openalex.org/W4255421341","https://openalex.org/W4283074224","https://openalex.org/W6631190155","https://openalex.org/W6838585372"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W1999451535","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3134368758","https://openalex.org/W2355177902","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Currently,":[0],"agriculture":[1,20],"has":[2],"incorporated":[3],"more":[4,6],"and":[5,13,25,44,98,130,162],"technologies":[7],"to":[8,22,68,92,105,117],"optimize":[9],"production,":[10],"reducing":[11,29],"waste":[12],"environmental":[14],"impacts":[15],"of":[16,32,77,96,135,153],"this":[17],"activity.":[18],"Precision":[19],"aims":[21],"maximize":[23],"efficiency":[24],"agricultural":[26],"productivity":[27],"while":[28],"the":[30,70,74,78,94,99,107,111,119,122,140],"use":[31],"chemicals.":[33],"This":[34],"work":[35],"proposes":[36],"an":[37,150],"automatic":[38],"approach":[39],"based":[40,88],"on":[41,89,156],"supervised":[42],"learning":[43],"image":[45,108],"processing":[46],"methods":[47],"for":[48],"crop":[49,163],"line":[50,164],"detection":[51],"in":[52],"frontal":[53],"images":[54,157],"obtained":[55],"by":[56],"a":[57,84,133,136],"ground":[58],"camera.":[59],"Along":[60],"with":[61,132,158],"this,":[62],"data":[63],"augmentation":[64],"techniques":[65],"are":[66],"applied":[67,104,116],"increase":[69],"reference":[71,137],"method":[72,82,127,138,145],"from":[73,121,139],"literature":[75,141],"ability":[76],"algorithm.":[79],"The":[80,125],"proposed":[81,126],"uses":[83],"semantic":[85],"segmentation":[86],"architecture":[87,91],"Deeplabv3+":[90],"segment":[93],"region":[95],"interest,":[97],"Canny":[100],"Edge":[101],"technique":[102],"is":[103,115,128],"locate":[106],"edges.":[109],"Finally,":[110],"probabilistic":[112],"Hough":[113],"transform":[114],"identify":[118],"segments":[120],"identified":[123],"boundaries.":[124],"evaluated":[129],"compared":[131],"variation":[134],"algorithm,":[142],"where":[143],"our":[144],"presented":[146],"higher":[147],"performance,":[148],"achieving":[149],"overall":[151],"accuracy":[152],"84.1%,":[154],"even":[155],"high":[159],"weed":[160],"presence":[161],"gaps.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}