{"id":"https://openalex.org/W2074407082","doi":"https://doi.org/10.1109/tii.2011.2166780","title":"Vision-Based 3D Peach Tree Reconstruction for Automated Blossom Thinning","display_name":"Vision-Based 3D Peach Tree Reconstruction for Automated Blossom Thinning","publication_year":2011,"publication_date":"2011-09-15","ids":{"openalex":"https://openalex.org/W2074407082","doi":"https://doi.org/10.1109/tii.2011.2166780","mag":"2074407082"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2011.2166780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2011.2166780","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-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/A5101583800","display_name":"Michael Nielsen","orcid":"https://orcid.org/0000-0001-6883-0674"},"institutions":[{"id":"https://openalex.org/I3019169596","display_name":"Danish Technological Institute","ror":"https://ror.org/00n87rr37","country_code":"DK","type":"nonprofit","lineage":["https://openalex.org/I3019169596"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Michael Nielsen","raw_affiliation_strings":["Department of Architecture, Design and Media Technology, University of Aalborg, Aalborg, Denmark","Robot Technology, Danish Technological Institute, Odense, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Architecture, Design and Media Technology, University of Aalborg, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Robot Technology, Danish Technological Institute, Odense, Denmark","institution_ids":["https://openalex.org/I3019169596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063556005","display_name":"David C. Slaughter","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David C. Slaughter","raw_affiliation_strings":["Department of Biological and Agricultural Engineering, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological and Agricultural Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108491605","display_name":"Chris Gliever","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Gliever","raw_affiliation_strings":["Department of Biological and Agricultural Engineering, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological and Agricultural Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9269,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.89984343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"188","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"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/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thinning","display_name":"Thinning","score":0.8027241230010986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5249283909797668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48332998156547546},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4765225648880005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4506181478500366},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4478776752948761},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41655024886131287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20384618639945984},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.14688169956207275}],"concepts":[{"id":"https://openalex.org/C2781353100","wikidata":"https://www.wikidata.org/wiki/Q1266974","display_name":"Thinning","level":2,"score":0.8027241230010986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249283909797668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48332998156547546},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4765225648880005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4506181478500366},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4478776752948761},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41655024886131287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20384618639945984},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.14688169956207275},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2011.2166780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2011.2166780","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/22354d3b-d37d-48eb-90b1-1743c4eaf00b","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/22354d3b-d37d-48eb-90b1-1743c4eaf00b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nielsen , M , Slaughter , D C & Gliever , C 2012 , ' Vision-Based 3D Peach Tree Reconstruction for Automated Blossom Thinning ' , I E E E Transactions on Industrial Informatics , vol. 8 , no. 1 , 6011693 , pp. 188-196 . https://doi.org/10.1109/TII.2011.2166780","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332564","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W287232347","https://openalex.org/W1754511723","https://openalex.org/W1964837411","https://openalex.org/W1969422238","https://openalex.org/W1978931624","https://openalex.org/W1998957178","https://openalex.org/W2020316425","https://openalex.org/W2035804958","https://openalex.org/W2041263154","https://openalex.org/W2053503886","https://openalex.org/W2054536235","https://openalex.org/W2062903294","https://openalex.org/W2064424837","https://openalex.org/W2085241531","https://openalex.org/W2101309634","https://openalex.org/W2106672917","https://openalex.org/W2112421488","https://openalex.org/W2123762179","https://openalex.org/W2124363451","https://openalex.org/W2125155225","https://openalex.org/W2133340230","https://openalex.org/W2139045541","https://openalex.org/W2140908171","https://openalex.org/W2150209402","https://openalex.org/W2154032324","https://openalex.org/W2158659101","https://openalex.org/W2187205442","https://openalex.org/W2199238100","https://openalex.org/W2206374008","https://openalex.org/W2322577241","https://openalex.org/W2580710426","https://openalex.org/W6637917889","https://openalex.org/W6732465091"],"related_works":["https://openalex.org/W2357280244","https://openalex.org/W4283836740","https://openalex.org/W1573752787","https://openalex.org/W2072657584","https://openalex.org/W2989655533","https://openalex.org/W2350998906","https://openalex.org/W4396580036","https://openalex.org/W2375223689","https://openalex.org/W2085241531","https://openalex.org/W2337991629"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"research":[3],"using":[4,65],"a":[5,28,96,169],"correlation-based":[6,49,186],"stereo":[7,50,187],"vision":[8],"approach":[9,108],"to":[10,168,175],"3D":[11,71,158],"blossom":[12,97,117,136],"mapping":[13,89],"for":[14,44,53,69,157],"automated":[15,115],"thinning":[16,118],"of":[17,83,91,95,113,123,135,141,153,155,185],"peach":[18],"blossoms":[19,142],"on":[20],"perpendicular":[21],"\u201cV\u201d":[22],"architecture":[23],"trees.":[24],"To":[25],"this":[26],"end,":[27],"calibrated":[29],"camera":[30,67],"system":[31],"is":[32,56,103,143,163],"proposed,":[33],"based":[34],"upon":[35],"three":[36,73],"synchronized":[37],"ten":[38],"megapixel":[39],"cameras":[40,156],"and":[41,77,105,149,165],"flash":[42],"illumination":[43],"nighttime":[45],"image":[46],"acquisition.":[47],"A":[48],"algorithm,":[51,173],"suitable":[52],"parallel":[54],"processing,":[55],"developed":[57],"with":[58],"the":[59,84,107,110,121,124,133,139,183],"actual":[60],"scene":[61,180],"structure":[62],"in":[63,178,188],"mind":[64],"multiple":[66],"pairs":[68],"validating":[70],"locations,":[72],"different":[74,125],"certainty":[75,126],"metrics,":[76],"does":[78],"not":[79],"require":[80],"extrinsic":[81],"rectification":[82],"images.":[85],"Results":[86],"show":[87],"that":[88],"accuracy":[90,134],"less":[92],"than":[93],"half":[94],"width":[98],"(":[99],"~":[100],"1":[101],"cm)":[102],"feasible,":[104],"validates":[106],"as":[109],"sensor":[111],"part":[112],"an":[114],"selective":[116],"system.":[119],"Furthermore,":[120],"effects":[122],"metrics":[127],"are":[128],"examined.":[129],"They":[130],"effectively":[131],"improve":[132],"positions":[137],"when":[138],"visibility":[140],"good":[144],"by":[145],"removing":[146],"insecure":[147],"matches":[148],"through":[150],"qualified":[151],"selection":[152],"subsets":[154],"triangulation.":[159],"The":[160],"proposed":[161],"algorithm":[162],"compared":[164],"found":[166],"superior":[167],"popular":[170],"global":[171],"optimization":[172],"designed":[174],"perform":[176],"well":[177],"another":[179],"structure,":[181],"demonstrating":[182],"quality":[184],"practical":[189],"applications.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}