Enhancing crop monitoring using unmanned aerial vehicle (UAV) images and deep learning [an abstract of dissertation and a summary of dissertation review]


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Xiao_Juan_abstract.pdf	論文内容の要旨	124.79 kB	PDF	View/Open
Xiao_Juan_review.pdf	審査の要旨	117.5 kB	PDF	View/Open

Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/90736

Title:	Enhancing crop monitoring using unmanned aerial vehicle (UAV) images and deep learning [an abstract of dissertation and a summary of dissertation review]
Other Titles:	ドローン画像とディープラーニングを用いた作物モニタリングの強化 [論文内容及び審査の要旨]
Authors:	肖, 娟 Browse this author
Issue Date:	25-Sep-2023
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第15593号
Degree Level:	博士
Degree Discipline:	環境科学
Examination Committee Members:	准教授 Ram Avtar, 教授露崎史朗, 教授沖野龍文, 准教授石川守, 准教授早川裕一, 准教授 Rage Uday Kiran （会津大学コンピュータ理工学科）
Degree Affiliation:	環境科学院（環境起学専攻）
Rights:	https://creativecommons.org/licenses/by/4.0/
Type:	theses (doctoral - abstract and summary of review)
URI:	http://hdl.handle.net/2115/90736
Appears in Collections:	課程博士 (Doctorate by way of Advanced Course) > 環境科学院(Graduate School of Environmental Science) 学位論文 (Theses) > 博士　（環境科学）

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