{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236991","sets":["6504:11678:11684"]},"path":["11684"],"owner":"44499","recid":"236991","title":["幼苗期における工場野菜の生育診断システムの開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"2db3a88c-4d6e-4843-acd9-e612c4ba8526"},"_deposit":{"id":"236991","pid":{"type":"depid","value":"236991","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"幼苗期における工場野菜の生育診断システムの開発","author_link":["648001","648004","648003","648002"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"幼苗期における工場野菜の生育診断システムの開発"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技科大"},{"subitem_text_value":"豊橋技科大"},{"subitem_text_value":"豊橋技科大"},{"subitem_text_value":"豊橋技科大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236991/files/IPSJ-Z86-4ZK-05.pdf","label":"IPSJ-Z86-4ZK-05.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-4ZK-05.pdf","filesize":[{"value":"773.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"98e52707-4521-42a3-9ebc-05bf13f336c1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大星, 仁"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"細田, 侑也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"BILGUUN, GANZURKH"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 仁志"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，植物工場の生産性を高めるために幼苗期のスイートバジルの生育状況を診断するシステムを開発する．まず生育の遅れを評価するために，葉の大きさや重なりのような幾何学的特徴量を画像処理で生育画像から取得する．そして，線形回帰モデルを用いて非破壊で現在の葉の重量を計測する．続いて，強い照度や空気の乾燥により光沢が失われている葉の不良を検出するために，多様な葉の形状を網羅するように拡張された画像データで学習された畳み込みニューラルネットワークでテクスチャを識別する．最後に，数日間にわたり茎長が正常かつ安定的に変動しているか数理モデルで解析して将来的な徒長を予測する手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"768","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"767","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T09:02:29.491549+00:00","created":"2025-01-19T01:39:21.828683+00:00","id":236991}