{"created":"2025-01-19T01:43:13.840817+00:00","updated":"2025-01-19T08:14:57.271869+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00239530","sets":["1164:3865:11476:11718"]},"path":["11718"],"owner":"44499","recid":"239530","title":["PatchCoreを用いた栽培過程における高精度なメロン網目検出手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-09-19"},"_buckets":{"deposit":"cb3d2928-07d5-4e9d-8545-7848bb83a4d6"},"_deposit":{"id":"239530","pid":{"type":"depid","value":"239530","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"PatchCoreを用いた栽培過程における高精度なメロン網目検出手法の検討","author_link":["656696","656694","656693","656698","656695","656697"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"PatchCoreを用いた栽培過程における高精度なメロン網目検出手法の検討"},{"subitem_title":"Investigation of High-precision Melon Mesh Detection Method in Cultivation Process using PatchCore","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"画像処理・データ分析","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-09-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"静岡大学大学院総合科学技術研究科情報学専攻"},{"subitem_text_value":"静岡大学大学院総合科学技術研究科情報学専攻"},{"subitem_text_value":"静岡大学大学院自然科学系教育部"},{"subitem_text_value":"株式会社大和コンピューターi農業開発部"},{"subitem_text_value":"株式会社大和コンピューターi農業開発部"},{"subitem_text_value":"静岡大学学術員情報学領域／静岡大学グリーン科学技術研究所"}]},"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/239530/files/IPSJ-MBL24112031.pdf","label":"IPSJ-MBL24112031.pdf"},"date":[{"dateType":"Available","dateValue":"2026-09-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL24112031.pdf","filesize":[{"value":"14.4 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"619b8c14-20d3-4dd3-a4dc-f742099de55c","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":"島田, 拓人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"海老沢, 源"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小池, 誠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小川, 晋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田代, 貴志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"峰野, 博史"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"国内では温室メロンが高級果実として流通している．果実の品質は網目の形成状況に大きく影響される．そのため，高品質な網目の形成を支援するための技術が求められている．支援するための網目の定量化技術に関する研究は存在するが，栽培管理支援までの技術は確立されていない．本論文では栽培管理支援としての第一歩として，栽培過程における網目形成の検出手法を検討した．近年，AI 技術を活用した画像認識技術が発展しており，セマンティックセグメンテーション技術を活用することで，網目検出が可能だと考えられる．しかし，従来のセグメンテーション技術を適用するには網目形成過程における外観の多様性や，1 回の栽培で 1 玉分の教師データしか収集できないことによるデータ不足の課題がある．そこで，本研究では，画像異常検知技術である PatchCore を用いた新しい網目検出手法を提案する．PatchCore を利用することで，限られた教師データで多様な外観の網目に対応できるメリットがある．本論文では，提案手法に対して基礎実験を実施し，IoU=0.34 であることを確認し，既存技術よりも優れた結果であるこを示した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-09-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"31","bibliographicVolumeNumber":"2024-MBL-112"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":239530,"links":{}}