{"id":"https://openalex.org/W2727254612","doi":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-438","title":"Point Cloud Based Approach to Stem Width Extraction of Sorghum","display_name":"Point Cloud Based Approach to Stem Width Extraction of Sorghum","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2727254612","doi":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-438","mag":"2727254612"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.17.coimg-438","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-438","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1430219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001610224","display_name":"Jihui Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihui Jin","raw_affiliation_strings":["Univ. of California, Berkeley, CA (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of California, Berkeley, CA (United States)","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008034417","display_name":"Avideh Zakhor","orcid":"https://orcid.org/0000-0003-4770-6353"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avideh Zakhor","raw_affiliation_strings":["Univ. of California, Berkeley, CA (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of California, Berkeley, CA (United States)","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.3858,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5930211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"29","issue":"17","first_page":"148","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9945999979972839,"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":0.9797999858856201,"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/point-cloud","display_name":"Point cloud","score":0.8434923887252808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6162856221199036},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.5743387937545776},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5604802966117859},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5593913793563843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505474328994751},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4820883572101593},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.46687549352645874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44222691655158997},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42180579900741577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37021493911743164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36399388313293457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23975828289985657},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17692014575004578},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17052000761032104}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8434923887252808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6162856221199036},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.5743387937545776},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5604802966117859},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5593913793563843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505474328994751},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4820883572101593},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.46687549352645874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44222691655158997},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42180579900741577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37021493911743164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36399388313293457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23975828289985657},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17692014575004578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17052000761032104},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.17.coimg-438","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.17.coimg-438","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1430219","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1430219","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1430219","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1430219","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W37424578","https://openalex.org/W131122855","https://openalex.org/W2069615085","https://openalex.org/W2120202249","https://openalex.org/W2131773624"],"related_works":["https://openalex.org/W2897156099","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2245242553","https://openalex.org/W2107628111","https://openalex.org/W3041711126","https://openalex.org/W1981338710","https://openalex.org/W2936725271","https://openalex.org/W2394004323","https://openalex.org/W3150655618"],"abstract_inverted_index":{"A":[0],"revolution":[1],"in":[2,63,67,82,92,129,133,156,172],"the":[3,18,93,141,154,164],"field":[4],"of":[5,11,17,148,163],"genomics":[6],"has":[7],"produced":[8],"vast":[9],"amounts":[10],"data":[12,31,53],"and":[13,96,104,122],"furthered":[14],"our":[15],"understanding":[16],"genotypephenotype":[19],"map,":[20],"but":[21],"is":[22],"currently":[23],"constrained":[24],"by":[25,55],"manually":[26],"intensive":[27],"or":[28],"limited":[29],"phenotype":[30],"collection.":[32],"We":[33,138],"propose":[34],"an":[35,97,145],"algorithm":[36,72],"to":[37,78,88,101,118,135,143],"estimate":[38],"stem":[39,165],"width,":[40],"a":[41,56,60,64,68,74,85],"key":[42],"characteristic":[43],"used":[44],"for":[45,108,177],"biomass":[46],"potential":[47],"evaluation,":[48],"from":[49],"3D":[50],"point":[51,80,94],"cloud":[52,95],"collected":[54],"robot":[57],"equipped":[58],"with":[59,125],"depth":[61],"sensor":[62],"single":[65],"pass":[66],"standard":[69],"field.":[70],"The":[71],"applies":[73],"two":[75],"step":[76],"alignment":[77],"register":[79],"clouds":[81],"different":[83],"frames,":[84],"Frangi":[86],"filter":[87,100],"identify":[89],"stemlike":[90],"objects":[91],"orientation":[98],"based":[99],"segment":[102],"out":[103],"refine":[105,140],"individual":[106],"stems":[107,113,128],"width":[109,149,166],"estimation.":[110],"Individually,":[111],"detected":[112],"which":[114],"are":[115,120,159],"split":[116],"due":[117],"occlusions":[119],"merged":[121],"then":[123,139],"registered":[124],"previously":[126],"found":[127],"previous":[130],"camera":[131],"frames":[132],"order":[134],"track":[136],"temporally.":[137],"estimates":[142,150],"produce":[144],"accurate":[146],"histogram":[147],"per":[151,167],"plot.":[152],"Since":[153],"plants":[155],"each":[157],"plot":[158,168],"genetically":[160,174],"identical,":[161],"distributions":[162],"can":[169],"be":[170],"useful":[171],"identifying":[173],"superior":[175],"sorghum":[176],"biofuels.":[178]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}