{"id":"https://openalex.org/W2199470297","doi":"https://doi.org/10.1007/s00138-015-0727-5","title":"Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping","display_name":"Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping","publication_year":2015,"publication_date":"2015-11-18","ids":{"openalex":"https://openalex.org/W2199470297","doi":"https://doi.org/10.1007/s00138-015-0727-5","mag":"2199470297"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-015-0727-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-015-0727-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-015-0727-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00138-015-0727-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050216481","display_name":"F. Golbach","orcid":null},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Franck Golbach","raw_affiliation_strings":["Wageningen UR Food & Biobased Research, Wageningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Wageningen UR Food & Biobased Research, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063259309","display_name":"Gert Kootstra","orcid":"https://orcid.org/0000-0002-2579-4324"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gert Kootstra","raw_affiliation_strings":["Wageningen UR Food & Biobased Research, Wageningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Wageningen UR Food & Biobased Research, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106403887","display_name":"Sanja Damjanovi\u0107","orcid":"https://orcid.org/0000-0003-3855-1759"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sanja Damjanovic","raw_affiliation_strings":["Wageningen UR Food & Biobased Research, Wageningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Wageningen UR Food & Biobased Research, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041597667","display_name":"Gerwoud Otten","orcid":null},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerwoud Otten","raw_affiliation_strings":["Wageningen UR Food & Biobased Research, Wageningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Wageningen UR Food & Biobased Research, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048653622","display_name":"H.J. van de Zedde","orcid":"https://orcid.org/0000-0002-8394-4538"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rick van de Zedde","raw_affiliation_strings":["Wageningen UR Food & Biobased Research, Wageningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Wageningen UR Food & Biobased Research, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050216481"],"corresponding_institution_ids":["https://openalex.org/I913481162"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":4.4363,"has_fulltext":true,"cited_by_count":109,"citation_normalized_percentile":{"value":0.93973206,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":"5","first_page":"663","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10616","display_name":"Smart Agriculture and AI","score":0.996999979019165,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9958000183105469,"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/segmentation","display_name":"Segmentation","score":0.6547623872756958},{"id":"https://openalex.org/keywords/seedling","display_name":"Seedling","score":0.6521693468093872},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6184139251708984},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5895107388496399},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5680679082870483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.567303478717804},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5455871820449829},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5455271005630493},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5036768317222595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47509801387786865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.451215535402298},{"id":"https://openalex.org/keywords/plant-tissue","display_name":"Plant tissue","score":0.4510731101036072},{"id":"https://openalex.org/keywords/plant-identification","display_name":"Plant identification","score":0.4203783869743347},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1695936918258667},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15818029642105103},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09944546222686768}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6547623872756958},{"id":"https://openalex.org/C2776096895","wikidata":"https://www.wikidata.org/wiki/Q1385709","display_name":"Seedling","level":2,"score":0.6521693468093872},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6184139251708984},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5895107388496399},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5680679082870483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.567303478717804},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5455871820449829},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5455271005630493},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5036768317222595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47509801387786865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.451215535402298},{"id":"https://openalex.org/C2992076609","wikidata":"https://www.wikidata.org/wiki/Q968604","display_name":"Plant tissue","level":2,"score":0.4510731101036072},{"id":"https://openalex.org/C2776091240","wikidata":"https://www.wikidata.org/wiki/Q106238460","display_name":"Plant identification","level":2,"score":0.4203783869743347},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1695936918258667},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15818029642105103},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09944546222686768},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00138-015-0727-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-015-0727-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-015-0727-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},{"id":"pmh:wur:oai:library.wur.nl:wurpubs/496914","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/validation-of-plant-part-measurements-using-a-3d-reconstruction-m","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Vision Applications, 27(5), 663 - 680","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s00138-015-0727-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-015-0727-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-015-0727-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1373243108","display_name":null,"funder_award_id":"284443","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3981126665","display_name":null,"funder_award_id":"Seventh Framework Programme","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4447653093","display_name":null,"funder_award_id":"Network","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332735","display_name":"Bayer CropScience","ror":"https://ror.org/04hmn8g73"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2199470297.pdf","grobid_xml":"https://content.openalex.org/works/W2199470297.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W9561439","https://openalex.org/W12739347","https://openalex.org/W1531542706","https://openalex.org/W1963567553","https://openalex.org/W1964396779","https://openalex.org/W1976478513","https://openalex.org/W1986164945","https://openalex.org/W1996385460","https://openalex.org/W1998686312","https://openalex.org/W2004501638","https://openalex.org/W2006976511","https://openalex.org/W2007743779","https://openalex.org/W2017101219","https://openalex.org/W2034752926","https://openalex.org/W2045928667","https://openalex.org/W2069615085","https://openalex.org/W2069797029","https://openalex.org/W2078000663","https://openalex.org/W2081379350","https://openalex.org/W2086330580","https://openalex.org/W2087111199","https://openalex.org/W2110432750","https://openalex.org/W2112740731","https://openalex.org/W2113180873","https://openalex.org/W2114937946","https://openalex.org/W2117007522","https://openalex.org/W2128576621","https://openalex.org/W2129404737","https://openalex.org/W2132612085","https://openalex.org/W2133394967","https://openalex.org/W2146041684","https://openalex.org/W2156262565","https://openalex.org/W2157122766","https://openalex.org/W2158642641","https://openalex.org/W2160038364","https://openalex.org/W2161558103","https://openalex.org/W2162746987","https://openalex.org/W4245529099"],"related_works":["https://openalex.org/W2388922981","https://openalex.org/W2376588297","https://openalex.org/W2043993394","https://openalex.org/W2379020407","https://openalex.org/W2366809278","https://openalex.org/W2111376716","https://openalex.org/W2257276718","https://openalex.org/W4386065843","https://openalex.org/W4387713683","https://openalex.org/W4323323175"],"abstract_inverted_index":{"In":[0,51],"plant":[1,16,23,87,95,100,104,116],"phenotyping,":[2],"there":[3],"is":[4,41,147],"a":[5,56,70],"demand":[6],"for":[7,59,81],"high-throughput,":[8],"non-destructive":[9],"systems":[10,32],"that":[11,62,143],"can":[12],"accurately":[13],"analyse":[14],"various":[15],"traits":[17],"by":[18,68,125,138],"measuring":[19],"features":[20,101],"such":[21,102],"as":[22,103],"volume,":[24,105],"leaf":[25,106],"area,":[26,107],"and":[27,84,90,108],"stem":[28,109],"length.":[29],"Existing":[30],"vision-based":[31],"either":[33],"focus":[34],"on":[35,45,114],"speed":[36],"using":[37,47],"2D":[38],"imaging,":[39],"which":[40],"consequently":[42],"inaccurate,":[43],"or":[44],"accuracy":[46,121],"time-consuming":[48],"3D":[49,94],"methods.":[50],"this":[52],"paper,":[53],"we":[54],"present":[55],"computer-vision":[57],"system":[58,124,146],"seedling":[60],"phenotyping":[61],"combines":[63],"best":[64],"of":[65,86,99,122,129],"both":[66],"approaches":[67],"utilizing":[69],"fast":[71],"three-dimensional":[72],"(3D)":[73],"reconstruction":[74],"method.":[75],"We":[76,118],"developed":[77],"image":[78],"processing":[79],"methods":[80,131],"the":[82,93,120,127,144],"identification":[83],"segmentation":[85],"organs":[88],"(stem":[89],"leaf)":[91],"from":[92],"model.":[96],"Various":[97],"measurements":[98,128,135],"length":[110],"are":[111],"estimated":[112],"based":[113],"these":[115],"segments.":[117],"evaluate":[119],"our":[123,130],"comparing":[126],"with":[132],"ground":[133],"truth":[134],"obtained":[136],"destructively":[137],"hand.":[139],"The":[140],"results":[141],"indicate":[142],"proposed":[145],"very":[148],"promising.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
