{"id":"https://openalex.org/W3183752446","doi":"https://doi.org/10.1145/3468784.3469949","title":"The 3-dimensional Plant Organs Point Clouds Classification for the Phenotyping Application based on CNNs.","display_name":"The 3-dimensional Plant Organs Point Clouds Classification for the Phenotyping Application based on CNNs.","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3183752446","doi":"https://doi.org/10.1145/3468784.3469949","mag":"3183752446"},"language":"en","primary_location":{"id":"doi:10.1145/3468784.3469949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468784.3469949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th International Conference on Advances in Information Technology","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/A5048407537","display_name":"Kanittha Rungyaem","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanittha Rungyaem","raw_affiliation_strings":["Kasetsart University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kasetsart University, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007400906","display_name":"Kanjanapan Sukvichai","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanjanapan Sukvichai","raw_affiliation_strings":["Kasetsart University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kasetsart University, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054739137","display_name":"Teera Phatrapornnant","orcid":null},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Teera Phatrapornnant","raw_affiliation_strings":["National Electronics and Computer Technology Center, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center, Thailand","institution_ids":["https://openalex.org/I14316845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11455016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9927999973297119,"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":0.9927999973297119,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9847999811172485,"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/panicle","display_name":"Panicle","score":0.6813152432441711},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6612472534179688},{"id":"https://openalex.org/keywords/rice-plant","display_name":"Rice plant","score":0.5969429016113281},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5969181060791016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499151349067688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.526208221912384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5119720697402954},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41591647267341614},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21552953124046326},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.18223857879638672}],"concepts":[{"id":"https://openalex.org/C75337361","wikidata":"https://www.wikidata.org/wiki/Q148600","display_name":"Panicle","level":2,"score":0.6813152432441711},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6612472534179688},{"id":"https://openalex.org/C2992726227","wikidata":"https://www.wikidata.org/wiki/Q5090","display_name":"Rice plant","level":2,"score":0.5969429016113281},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5969181060791016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499151349067688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526208221912384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5119720697402954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41591647267341614},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21552953124046326},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.18223857879638672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468784.3469949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468784.3469949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th International Conference on Advances in Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1979803512","https://openalex.org/W2144008209","https://openalex.org/W2738835886","https://openalex.org/W2799191197"],"related_works":["https://openalex.org/W2362734935","https://openalex.org/W2362505604","https://openalex.org/W2394255463","https://openalex.org/W4246038743","https://openalex.org/W2393537737","https://openalex.org/W3141535635","https://openalex.org/W2393382537","https://openalex.org/W2377372770","https://openalex.org/W2329573328","https://openalex.org/W581798245"],"abstract_inverted_index":{"The":[0,74,85,122,133,145,198,234],"rice":[1,46,75,154,158,181,188],"breeding":[2],"produces":[3],"the":[4,23,34,40,44,88,93,98,127,142,149,165,174,177,185,191,202,213,219,223],"high-throughput":[5],"via":[6],"a":[7,17,55,80,230],"genotyping":[8],"technology.":[9],"It":[10],"can":[11,152],"rapidly":[12],"test":[13],"and":[14,210,226,245,250],"analyze":[15,68],"on":[16],"large":[18,206],"number":[19,99],"of":[20,25,33,100,157,162,176,187,208,216],"samples":[21],"while":[22,218,240],"performance":[24],"phenotypic":[26],"evaluation":[27],"is":[28,39,51,106,111],"still":[29],"very":[30],"low":[31],"because":[32,97],"manually":[35],"evaluation.":[36],"Therefore,":[37],"this":[38,131],"main":[41],"barrier":[42],"retarding":[43],"new":[45],"varieties":[47,221],"development.":[48],"This":[49],"research":[50],"aimed":[52],"to":[53,67,113,140,172,183,194],"develop":[54],"method":[56,96,151],"for":[57,120,179],"classifying":[58],"plant":[59,69,76],"organs":[60],"from":[61],"3D":[62,81,128],"point":[63],"cloud":[64,89,104],"in":[65,87,102,130,138,170,190],"order":[66,139,171],"morphology":[70],"or":[71],"architecture":[72],"automatically.":[73],"was":[77,124,136,168],"scanned":[78],"with":[79,160,222],"laser":[82],"scan":[83],"machine.":[84],"points":[86,101],"were":[90],"reduced":[91],"by":[92],"skeleton":[94],"skimming":[95],"each":[103,180],"group":[105],"too":[107],"large.":[108],"Thus,":[109],"it":[110],"necessary":[112],"preprocess":[114],"before":[115],"importing":[116],"into":[117],"neural":[118],"networks":[119],"classification.":[121],"PointNet":[123],"selected":[125],"as":[126],"classifier":[129],"research.":[132],"first":[134],"experiment":[135,167],"conducted":[137,169],"evaluate":[141],"proposed":[143,150],"method.":[144],"result":[146],"showed":[147,200],"that":[148,201],"classify":[153],"organs,":[155],"regardless":[156],"varieties,":[159],"accuracy":[161,175,215,239,252],"87.04%.":[163],"Then,":[164],"second":[166],"obtain":[173],"network":[178],"variety":[182],"demonstrate":[184],"influence":[186],"cultivars":[189],"classification":[192],"due":[193],"their":[195],"different":[196],"shapes.":[197],"results":[199],"SPRLR,":[203],"which":[204],"had":[205,237,247],"numbers":[207],"leaves":[209],"yield,":[211],"has":[212],"lowest":[214],"51.61%":[217],"other":[220],"greater":[224],"leaf":[225],"panicle":[227],"distribution":[228],"have":[229],"much":[231],"better":[232],"accuracy.":[233],"Nieow":[235],"dum":[236],"91.16%":[238],"Jae":[241],"hwa,":[242],"Kaow":[243],"lueng":[244],"Kam":[246],"89.06%,":[248],"86.52%":[249],"75.22%":[251],"respectively.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}