{"created":"2025-01-19T01:30:46.414587+00:00","updated":"2025-01-19T10:59:55.877691+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230795","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"230795","title":["圃場ごとの栽培環境を考慮した気象情報に基づく大豆の収量レベル推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"123857ec-8da5-4fe2-873d-be3fa76f89aa"},"_deposit":{"id":"230795","pid":{"type":"depid","value":"230795","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"圃場ごとの栽培環境を考慮した気象情報に基づく大豆の収量レベル推定","author_link":["622344","622345"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"圃場ごとの栽培環境を考慮した気象情報に基づく大豆の収量レベル推定"}]},"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":"2023-02-16","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":"神戸大"},{"subitem_text_value":"神戸大"}]},"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/230795/files/IPSJ-Z85-5ZG-02.pdf","label":"IPSJ-Z85-5ZG-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5ZG-02.pdf","filesize":[{"value":"399.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"93889678-a9ba-41eb-a9eb-fca71553b4d5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"逸見, 聡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大川, 剛直"}],"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":"国内農業における問題を解決するスマート農業の一環として、栽培データの活用による収量の予測が研究されている。我々は、大豆の生育が圃場の気象環境だけでなく土壌水分に大きく影響されることに着目した収量レベル推定手法を提案している。しかし、気象要素と土壌水分の各時系列データを並列に扱うことから予測結果に対する気象要素の影響が強くなり、実際の知見を活かせないという課題があった。そこで、気象要素に加えて圃場ごとの詳細な栽培環境を段階的に考慮することで大豆の収量レベル推定を行う手法を提案する。提案手法の有用性を確認するため、実際の降水量・土壌水分データに適用した結果、従来の手法と比べて精度向上を確認した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"518","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"517","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230795,"links":{}}