{"id":"https://openalex.org/W3214728789","doi":"https://doi.org/10.1145/3426020.3426035","title":"Deep learning-based rice seed segmentation for high-throughput phenotyping","display_name":"Deep learning-based rice seed segmentation for high-throughput phenotyping","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3214728789","doi":"https://doi.org/10.1145/3426020.3426035","mag":"3214728789"},"language":"en","primary_location":{"id":"doi:10.1145/3426020.3426035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","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/A5082676907","display_name":"Yuseok Jeong","orcid":"https://orcid.org/0000-0001-8194-9928"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yuseok Jeong","raw_affiliation_strings":["Kunsan National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kunsan National University, S. Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949859","display_name":"Jung-Han Lee","orcid":"https://orcid.org/0000-0002-1974-8807"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junghan Lee","raw_affiliation_strings":["Kunsan National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kunsan National University, S. Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032946722","display_name":"Myeongjun Park","orcid":null},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myeongjun Park","raw_affiliation_strings":["Kunsan National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kunsan National University, S. Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035873603","display_name":"Hongro Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hongro Lee","raw_affiliation_strings":["Kunsan National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kunsan National University, S. Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023637219","display_name":"Jeongho Baek","orcid":"https://orcid.org/0009-0007-5961-0697"},"institutions":[{"id":"https://openalex.org/I2800443534","display_name":"Rural Development Administration","ror":"https://ror.org/03xs9yg50","country_code":"KR","type":"government","lineage":["https://openalex.org/I2800443534","https://openalex.org/I2801339556","https://openalex.org/I4210090853"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Ho Baek","raw_affiliation_strings":["Rural Development Administration, S. Korea"],"affiliations":[{"raw_affiliation_string":"Rural Development Administration, S. Korea","institution_ids":["https://openalex.org/I2800443534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637162","display_name":"Kyung-Hwan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2800443534","display_name":"Rural Development Administration","ror":"https://ror.org/03xs9yg50","country_code":"KR","type":"government","lineage":["https://openalex.org/I2800443534","https://openalex.org/I2801339556","https://openalex.org/I4210090853"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Hwan Kim","raw_affiliation_strings":["Rural Development Administration, S. Korea"],"affiliations":[{"raw_affiliation_string":"Rural Development Administration, S. Korea","institution_ids":["https://openalex.org/I2800443534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714433","display_name":"Chang\u2010Woo Lee","orcid":"https://orcid.org/0000-0001-9862-2833"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Woo Lee","raw_affiliation_strings":["Kunsan National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kunsan National University, S. Korea","institution_ids":["https://openalex.org/I120158604"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5082676907"],"corresponding_institution_ids":["https://openalex.org/I120158604"],"apc_list":null,"apc_paid":null,"fwci":0.2299,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72148162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"64","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"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":0.9995999932289124,"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/T13142","display_name":"GABA and Rice Research","score":0.9635999798774719,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9319999814033508,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7625463008880615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6642657518386841},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6570623517036438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165963411331177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5881718397140503},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46475186944007874},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4166612923145294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41434794664382935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40879711508750916}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7625463008880615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642657518386841},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6570623517036438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165963411331177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5881718397140503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46475186944007874},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4166612923145294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41434794664382935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40879711508750916},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426020.3426035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2883037776","https://openalex.org/W2963150697","https://openalex.org/W2997157871","https://openalex.org/W3017378934"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2611989081","https://openalex.org/W2760721665","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4315434538","https://openalex.org/W4380075502","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,90],"National":[1],"Institute":[2],"of":[3,6,49,86,111,119],"Agricultural":[4],"Sciences":[5],"the":[7,23,47,62,74,82,87,95,114],"Rural":[8],"Devel-opemnt":[9],"Administration":[10],"(NAS,":[11],"RDA)":[12],"is":[13,98],"conducting":[14],"various":[15,18,50],"studies":[16],"on":[17,108],"crops,":[19],"such":[20,134],"as":[21,135],"monitoring":[22],"cultivation":[24],"environment":[25],"and":[26,138],"analyzing":[27,73],"harvested":[28],"seeds":[29,48,112,120,126],"for":[30,72,117,130],"high-throughput":[31,109],"phenotyping.":[32],"In":[33],"this":[34,78],"paper,":[35],"we":[36,60,80,104],"propose":[37],"a":[38,101],"deep":[39,57],"learning-based":[40],"rice":[41,63],"seed":[42,64,70,75],"segmentation":[43,65,96,118],"method":[44,116],"to":[45,106],"analyze":[46],"crops":[51],"owned":[52],"by":[53],"NAS.":[54],"Using":[55],"Mask-RCNN":[56,88],"learning":[58],"model,":[59],"perform":[61,81],"from":[66,121],"manually":[67],"taken":[68],"digital":[69],"photos":[71],"characteristics.":[76],"For":[77],"purpose,":[79],"parameter":[83],"tuning":[84],"process":[85],"model.":[89],"experimental":[91],"results":[92],"show":[93],"that":[94],"recall":[97],"84%.":[99],"As":[100],"future":[102],"study,":[103],"plan":[105],"research":[107],"phenotyping":[110],"using":[113],"proposed":[115],"complex":[122],"images.":[123],"Then,":[124],"extracted":[125],"will":[127],"be":[128],"processed":[129],"extracting":[131],"numerical":[132],"data":[133],"length,":[136],"width,":[137],"compactness,":[139],"etc.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}