{"id":"https://openalex.org/W4410583661","doi":"https://doi.org/10.1109/isc260477.2024.11004199","title":"Eggplant Detection and Counting Across the Entire Greenhouse Using Deep Learning and Motion Parallax","display_name":"Eggplant Detection and Counting Across the Entire Greenhouse Using Deep Learning and Motion Parallax","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4410583661","doi":"https://doi.org/10.1109/isc260477.2024.11004199"},"language":"en","primary_location":{"id":"doi:10.1109/isc260477.2024.11004199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","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/A5038496988","display_name":"Takumi Ishizuka","orcid":"https://orcid.org/0000-0003-0956-784X"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsuya Ishizuka","raw_affiliation_strings":["Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015126934","display_name":"Yusuke Sasaki","orcid":"https://orcid.org/0000-0001-7379-8066"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Sasaki","raw_affiliation_strings":["Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060849389","display_name":"Takeo Hamada","orcid":"https://orcid.org/0000-0001-8058-4728"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Hamada","raw_affiliation_strings":["Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117630353","display_name":"Yuki Shimazaki-Kishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799881413","display_name":"Zen-Noh (Japan)","ror":"https://ror.org/05cwghy20","country_code":"JP","type":"company","lineage":["https://openalex.org/I2799881413"]},{"id":"https://openalex.org/I1323638106","display_name":"National Agriculture and Food Research Organization","ror":"https://ror.org/023v4bd62","country_code":"JP","type":"government","lineage":["https://openalex.org/I1323638106"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Shimazaki-Kishi","raw_affiliation_strings":["National Federation of Agricultural Cooperative Associations,Agricultural Research and Development Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Federation of Agricultural Cooperative Associations,Agricultural Research and Development Center,Tokyo,Japan","institution_ids":["https://openalex.org/I1323638106","https://openalex.org/I2799881413"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012068346","display_name":"Noboru Koshizuka","orcid":"https://orcid.org/0000-0002-4728-9425"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Koshizuka","raw_affiliation_strings":["Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Information Studies, The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038496988"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16531125,"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":0.9965999722480774,"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":0.9965999722480774,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9753999710083008,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9629999995231628,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.958060622215271},{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.7754419445991516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5872248411178589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5732659697532654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641805529594421},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4724723994731903},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4052177369594574},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3392452895641327},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20127913355827332},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.0657462477684021}],"concepts":[{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.958060622215271},{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.7754419445991516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872248411178589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5732659697532654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641805529594421},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4724723994731903},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4052177369594574},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3392452895641327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20127913355827332},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0657462477684021},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc260477.2024.11004199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.47999998927116394,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2105934661","https://openalex.org/W2124781496","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2511791013","https://openalex.org/W2570343428","https://openalex.org/W2603203130","https://openalex.org/W2963037989","https://openalex.org/W2988916019","https://openalex.org/W3177696923","https://openalex.org/W4224923734","https://openalex.org/W4283008625","https://openalex.org/W4286904999","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W2310668644","https://openalex.org/W2010112831","https://openalex.org/W2329110763","https://openalex.org/W42146583","https://openalex.org/W3034145901","https://openalex.org/W2167098510","https://openalex.org/W4241745573","https://openalex.org/W2083711700","https://openalex.org/W2029836522","https://openalex.org/W1957820763"],"abstract_inverted_index":{"To":[0],"address":[1],"labor":[2],"shortages":[3],"and":[4,35,42,70,106,123,156,164],"population":[5],"growth,":[6],"the":[7,23,64,74,80,92,114,139,145,160,165,184,190],"importance":[8],"of":[9,19,25,77,94,116,127,138,142,187],"maximizing":[10],"productivity":[11],"through":[12],"precision":[13,20],"agriculture":[14],"is":[15,29,40,179],"increasing.":[16],"As":[17],"part":[18],"agriculture,":[21],"counting":[22,39,91,122],"number":[24,76,93,141,186],"fruits":[26,52,62,78,143,188],"on":[27],"crops":[28],"conducted":[30],"to":[31,50,67,119,133,171],"monitor":[32],"growth":[33],"conditions":[34],"predict":[36],"yields.":[37],"Manual":[38],"inaccurate":[41],"costly,":[43],"so":[44],"methods":[45,58],"using":[46,101,152],"object":[47,103,108,153],"detection":[48,104],"technologies":[49],"count":[51,59],"have":[53],"been":[54],"proposed.":[55],"However,":[56],"existing":[57,172],"all":[60],"visible":[61],"in":[63,72,96,144],"frame,":[65],"leading":[66],"duplicate":[68],"counts":[69,126],"inaccuracies":[71],"measuring":[73],"total":[75,140,185],"throughout":[79,189],"greenhouse.":[81,146,192],"In":[82],"this":[83],"paper,":[84],"we":[85],"propose":[86],"a":[87,134,157],"method":[88,112,149],"for":[89,182],"accurately":[90],"eggplants":[95],"an":[97,102,107],"agricultural":[98],"greenhouse":[99],"by":[100],"model":[105],"tracking":[109,154],"model.":[110],"Our":[111],"utilizes":[113],"principle":[115],"motion":[117],"parallax":[118],"prevent":[120],"double":[121],"ensure":[124],"accurate":[125],"each":[128],"ridge.":[129],"This":[130,174],"approach":[131,178],"leads":[132],"more":[135,180],"precise":[136],"estimate":[137],"The":[147],"proposed":[148],"was":[150],"evaluated":[151],"metrics":[155],"comparison":[158],"with":[159],"actual":[161],"fruit":[162],"count,":[163],"results":[166],"showed":[167],"superior":[168],"performance":[169],"compared":[170],"methods.":[173],"demonstrates":[175],"that":[176],"our":[177],"suitable":[181],"estimating":[183],"entire":[191]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
