{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174558","sets":["1164:2735:8608:8902"]},"path":["8902"],"owner":"11","recid":"174558","title":["水稲の品質予測モデルの研究について"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-09-09"},"_buckets":{"deposit":"eb0ffade-5f36-42a4-b8ae-9d2a13c1c0d4"},"_deposit":{"id":"174558","pid":{"type":"depid","value":"174558","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"水稲の品質予測モデルの研究について","author_link":["359824","359820","359817","359822","359818","359821","359819","359815","359816","359823"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"水稲の品質予測モデルの研究について"},{"subitem_title":"Quality Prediction Model of Paddy 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University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/174558/files/IPSJ-MPS16110006.pdf","label":"IPSJ-MPS16110006.pdf"},"date":[{"dateType":"Available","dateValue":"2018-09-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS16110006.pdf","filesize":[{"value":"236.3 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栄輔"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ayaka, Tsuge","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Eri, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shunsaku, Nishiuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hidemi, Kitano","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Eisuke, Kita","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，日本の農業従事者にとって重要な農作物である水稲栽培において，重回帰分析 (MRA) やニューラルネットワーク (NN) 分析を用いて，水稲の品質予測をする方法について述べる．評価期間は 2010 年から 2014 年，学習期間は 1985 年から各評価年の前年までとし，予測結果を比較した．2010 年と 2013 年の予測値は実測値に近い値を取っているが，それ以外の年度については改善の余地がある結果となった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2016-MPS-110"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:38:47.060362+00:00","created":"2025-01-19T00:44:44.832324+00:00","id":174558}