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Video Processing for Agricultural Applications- [electronic resource]
ข้อมูลเนื้อหา
Video Processing for Agricultural Applications- [electronic resource]
자료유형  
 학위논문
Control Number  
0016932524
International Standard Book Number  
9798379673970
Dewey Decimal Classification Number  
770
Main Entry-Personal Name  
Liu, He.
Publication, Distribution, etc. (Imprint  
[S.l.] : Purdue University., 2020
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2020
Physical Description  
1 online resource(165 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
General Note  
Advisor: Reibman, Amy R.
Dissertation Note  
Thesis (Ph.D.)--Purdue University, 2020.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Cameras are widely used as sensors for a variety of engineering applications. In a typical video-based application, spatial segmentation is a fundamental step which provides the spatial positions of different targets for further analysis. In this thesis, we focus on videos analytics applied to the agricultural industry and describe several video segmentation methods in the context of two practical projects: autonomous farming vehicles and analysis of dairy cow health. In the autonomous farming vehicle project, we propose three spatial segmentation methods based on traditional video features to isolate the regions of the video frame where critical information appears. Two applications that apply the segmentation method are presented: farming activity classification and header-height control for a combine harvester. In the project on cow health, we propose a cow structural model based on the keypoints of joints from a side-view cow video. A detection system is developed using deep learning techniques to automatically extract the structural model from the videos. Based on this model, we also present a preliminary application which estimates the cow's weight based on video information.
Subject Added Entry-Topical Term  
Cameras.
Subject Added Entry-Topical Term  
Farming.
Subject Added Entry-Topical Term  
Video recordings.
Subject Added Entry-Topical Term  
Harvest.
Subject Added Entry-Topical Term  
Image retrieval.
Subject Added Entry-Topical Term  
Wheat.
Subject Added Entry-Topical Term  
Corn.
Subject Added Entry-Topical Term  
Beans.
Subject Added Entry-Topical Term  
Vehicles.
Subject Added Entry-Topical Term  
Agriculture.
Subject Added Entry-Topical Term  
Agronomy.
Subject Added Entry-Topical Term  
Transportation.
Added Entry-Corporate Name  
Purdue University.
Host Item Entry  
Dissertations Abstracts International. 84-12A.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:640926
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