{"id":"https://openalex.org/W4404915429","doi":"https://doi.org/10.1109/scisisis61014.2024.10759923","title":"Tomato Fruit Evolution and Maturity estimation from RGB Time-lapse Observation via Modern Structure from Motion and Instance Segmentation","display_name":"Tomato Fruit Evolution and Maturity estimation from RGB Time-lapse Observation via Modern Structure from Motion and Instance Segmentation","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404915429","doi":"https://doi.org/10.1109/scisisis61014.2024.10759923"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis61014.2024.10759923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10759923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","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/A5091420731","display_name":"Stefan Baar","orcid":"https://orcid.org/0000-0003-4392-3844"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Stefan Baar","raw_affiliation_strings":["Muroran Institute of Technology,Hokkaido,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Hokkaido,Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073066693","display_name":"Yosuke Kobayashi","orcid":"https://orcid.org/0000-0003-3959-4347"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Kobayashi","raw_affiliation_strings":["Muroran Institute of Technology,Hokkaido,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Hokkaido,Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035633128","display_name":"Shinya Watanabe","orcid":"https://orcid.org/0000-0002-1265-8665"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Watanabe","raw_affiliation_strings":["Muroran Institute of Technology,Hokkaido,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Hokkaido,Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29306876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9814000129699707,"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":0.9814000129699707,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9675999879837036,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9484999775886536,"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":0.6929087042808533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6420016288757324},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5781474709510803},{"id":"https://openalex.org/keywords/maturity","display_name":"Maturity (psychological)","score":0.5621377825737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552793145179749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5042694807052612},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4902258515357971},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.46508875489234924},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43775495886802673},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42132675647735596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249000310897827},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13054141402244568}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6929087042808533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420016288757324},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5781474709510803},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.5621377825737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552793145179749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5042694807052612},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4902258515357971},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.46508875489234924},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43775495886802673},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42132675647735596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249000310897827},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13054141402244568},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis61014.2024.10759923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10759923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.75,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1972046296","https://openalex.org/W2155056756","https://openalex.org/W2789726530","https://openalex.org/W2962705366","https://openalex.org/W3015736093","https://openalex.org/W3121637738","https://openalex.org/W3130482387","https://openalex.org/W4200150166","https://openalex.org/W4210268491","https://openalex.org/W4317418961","https://openalex.org/W4378450585","https://openalex.org/W4385318467","https://openalex.org/W4393214809","https://openalex.org/W6853770624"],"related_works":["https://openalex.org/W2791617766","https://openalex.org/W2010501276","https://openalex.org/W2055314256","https://openalex.org/W3122869223","https://openalex.org/W4388401032","https://openalex.org/W1989068941","https://openalex.org/W2364844596","https://openalex.org/W2916821761","https://openalex.org/W2387400882","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,122],"various":[1],"cultivation":[2],"environments,":[3],"monitoring":[4],"fruit":[5,33,65,104,120,127],"development,":[6],"such":[7,36],"as":[8,37],"phenotyping,":[9],"is":[10,23,71,88,113],"crucial":[11],"to":[12,30,55,92,124],"optimise":[13],"and":[14,17,39,57,61,79,90,98,141],"enhance":[15],"plant":[16],"environmental":[18],"conditions.":[19],"A":[20],"statistical":[21],"approach":[22,87],"introduced":[24],"in":[25,94],"combination":[26,75],"with":[27,110,138],"computer":[28],"vision":[29],"estimate":[31],"tomato":[32,64,103],"maturity":[34],"features,":[35],"size":[38,60,105],"shape,":[40],"from":[41,66,82,133],"a":[42,74,111],"set":[43],"of":[44,63,76,118],"sequential":[45],"RGB":[46],"images.":[47],"An":[48],"novel":[49],"end-to-end":[50],"routine":[51],"has":[52],"been":[53],"implemented":[54],"locate":[56],"measure":[58,131],"the":[59,116,119,126,134],"colour":[62],"handheld":[67],"image":[68],"sequences.":[69],"This":[70],"achieved":[72],"through":[73],"instance":[77],"segmentation":[78],"modern":[80],"Structure":[81],"Motion":[83],"(SfM)":[84],"methods.":[85],"Our":[86],"time-efficient":[89],"easy":[91],"implement":[93],"both":[95],"small":[96],"gardens":[97],"large":[99],"greenhouse":[100],"environments.":[101],"Measuring":[102],"by":[106,115],"hand,":[107],"for":[108],"example":[109],"calliper,":[112],"limited":[114],"symmetry":[117],"shape.":[121],"addition":[123],"estimating":[125],"diameter,":[128],"we":[129],"can":[130],"deviations":[132],"targeted":[135],"spherical":[136],"topology":[137],"millimetre":[139],"precision":[140],"incorporate":[142],"any":[143],"morphological":[144],"abnormalities.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
