{"created":"2021-03-01T06:13:32.242655+00:00","id":10654,"links":{},"metadata":{"_buckets":{"deposit":"1b5ef0c6-371d-49de-b9b7-e94af5fc37f5"},"_deposit":{"id":"10654","owners":[],"pid":{"revision_id":0,"type":"depid","value":"10654"},"status":"published"},"_oai":{"id":"oai:soar-ir.repo.nii.ac.jp:00010654","sets":["1016:1018:1019:1043"]},"author_link":["33649","33650","33651"],"item_1628147817048":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_6_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1991-12-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"173","bibliographicPageStart":"165","bibliographicVolumeNumber":"28","bibliographic_titles":[{"bibliographic_title":"信州大学農学部紀要"}]}]},"item_6_description_20":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"画像解析法による普通ソバの草姿の定量的評価の有効性を検討するために,ソバ植物体の側面写真を二値化処理して得たシルエット画像を画像解析した。得られた結果は以下の通りである。 (1) 画素数から算出したシルエット面積は全葉面積および生体重と有意な正の相関関係を示し,シルエット画像から両形質を推定することが可能であった。 (2) 肉眼的に捕えられた草姿の差異はシルエットを水平,垂直両方向に走査して得たシルエット分布と,分布の特徴を表す草姿形状指数により定量的に抽出され,品種間差異を認めることができた。 これらのことから,原画像の撮影方法を改良することにより,ソバの草姿の定量的評価に画像解析法を有効に利用できると結論した。","subitem_description_type":"Abstract"}]},"item_6_description_30":{"attribute_name":"資源タイプ(コンテンツの種類)","attribute_value_mlt":[{"subitem_description":"Article","subitem_description_type":"Other"}]},"item_6_description_5":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"信州大学農学部紀要. 28(2): 165-173 (1991)","subitem_description_type":"Other"}]},"item_6_publisher_4":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"信州大学農学部"}]},"item_6_source_id_35":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0583-0621","subitem_source_identifier_type":"ISSN"}]},"item_6_source_id_40":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00121352","subitem_source_identifier_type":"NCID"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"南, 峰夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松島, 克典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"氏原, 暉男"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2015-09-25"}],"displaytype":"detail","filename":"v28n02_07.pdf","filesize":[{"value":"883.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"v28n02_07.pdf","url":"https://soar-ir.repo.nii.ac.jp/record/10654/files/v28n02_07.pdf"},"version_id":"c004e15b-caa5-4f16-935e-74cdbc7a2a0c"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"普通ソバ","subitem_subject_scheme":"Other"},{"subitem_subject":"画像解析","subitem_subject_scheme":"Other"},{"subitem_subject":"二値化画像","subitem_subject_scheme":"Other"},{"subitem_subject":"草姿","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"画像解析による普通ソバの草姿の評価","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"画像解析による普通ソバの草姿の評価","subitem_title_language":"ja"},{"subitem_title":"Quantitative Evaluation of Plant Posture by Computer Image Analysis in Common Buckwheat (Fagopyrum esculentum Moench)","subitem_title_language":"en"}]},"item_type_id":"6","owner":"1","path":["1043"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2007-12-27"},"publish_date":"2007-12-27","publish_status":"0","recid":"10654","relation_version_is_last":true,"title":["画像解析による普通ソバの草姿の評価"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-05T06:43:00.705163+00:00"}