{"updated":"2025-01-19T10:05:03.433002+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233475","sets":["1164:2036:11466:11528"]},"path":["11528"],"owner":"44499","recid":"233475","title":["水田におけるアクアドローンを用いたSemantic Segmentationによる雑草検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-14"},"_buckets":{"deposit":"af590ace-7ad8-4e62-b43f-98eb3d02c29f"},"_deposit":{"id":"233475","pid":{"type":"depid","value":"233475","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"水田におけるアクアドローンを用いたSemantic Segmentationによる雑草検出","author_link":["634263","634259","634260","634262","634261","634264"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"水田におけるアクアドローンを用いたSemantic Segmentationによる雑草検出"},{"subitem_title":"Weed Detection by Semantic Segmentation Using Aqua Drone in Paddy Field","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"環境モニタリング応用","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京農工大学工学部知能情報システム工学科"},{"subitem_text_value":"東京農工大学大学院工学府"},{"subitem_text_value":"有機米デザイン株式会社"},{"subitem_text_value":"東京農工大学大学院工学研究院"},{"subitem_text_value":"東京農工大学大学院農学研究院"},{"subitem_text_value":"東京農工大学大学院工学研究院"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo University of Agriculture and Technology Faculty of Engineering Department of Electrical Engineering and Computer Science","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Agriculture and Technology Graduate School of Engineering","subitem_text_language":"en"},{"subitem_text_value":"Yukimai Design Co., Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Agriculture and Technology Institute of Engineering","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Agriculture and Technology Institute of Agriculture","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Agriculture and Technology Institute of Engineering","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/233475/files/IPSJ-SLDM24205044.pdf","label":"IPSJ-SLDM24205044.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM24205044.pdf","filesize":[{"value":"2.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b2788f63-d714-4c91-a08a-a0c00c466286","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"飛鳥, 颯舞"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"町田, 健太朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"清水, 郁子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大川, 泰一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中條, 拓伯"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"田畑における雑草検出では，ニューラルネットワーク (NN) を用いた Semantic Segmentation が活用されているが，従来の上空から撮影した画像データセットでは，作物に隠れた雑草や，水中にある雑草の検出は困難である．本研究では，稲の間を航行するアクアドローン搭載のカメラから得られた前方画像から，Semantic Segmentation を用いた雑草ピクセルを性格に検出する手法を提案し，NN モデルの学習のための水田雑草画像データセットを示す．複数の Semantic Segmentation モデルで学習を行い，比較・評価を行い，雑草 IoU : 0.414, mIoU : 0.680, Pixel Accuracy : 0.950 という結果が得られた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In research on weed detection, neural network-based semantic segmentation is often used regardless of whether the weeds are in rice paddies or fields. In this research, we propose a method for detecting weed pixels using Semantic Segmentation from forward images obtained from a camera mounted aqua drone in a paddy field as well as show a dataset of paddy field weed images for training neural network models. Several Semantic Segmentation models have been trained, compared, and evaluated to get the best results: weed IoU : 0.414, mIoU : 0.680, Pixel Accuracy : 0.950.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"44","bibliographicVolumeNumber":"2024-SLDM-205"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:34:56.486646+00:00","id":233475,"links":{}}