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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Mobile applications for high-throughput seed characterization

Amaravadi, Siddharth January 1900 (has links)
Master of Science / Department of Computer Science / Mitchell L. Neilsen / Kansas State University is a world leader in the study of small grain genetics to develop new varieties which tolerate a wide range of environmental conditions. A phenotype is a composite of a plants observable traits. Several mobile applications, called PhenoApps, have been developed for field-based, high-throughput phenotyping (HTP) to advance plant breeding programs around the world. These applications require novel image analysis algorithms to be developed to model and extract plant phenotypes. Some of the first algorithms developed were focused on using static image analysis to count and characterize a wide variety of seeds in a single image with a static colored background. This thesis describes both a static algorithm and development of a hopper system for a dynamic, real-time algorithm to accurately count and characterize seeds using a modest mobile device. The static algorithm analyzes a single image of a particular seed sample, captured on a mobile device; whereas, the dynamic algorithm analyzes multiple frames from the video input of a mobile device in real time. Novel 3D models are designed and printed to set a steady flow rate for the seeds, but the analysis is also completed to consider seeds flowing at variable rates and to determine the range of allowable flow rates and achievable precision for a wide variety of seeds. Both algorithms have been implemented in user-friendly mobile applications for realistic, field-based use. A plant breeder can use the applications to both count and characterize a smaller sample using the static approach or a larger sample using the dynamic approach, with seeds sampled in real time without the need to analyze multiple static images. There are many directions for future research to enhance the algorithms performance and accuracy.
2

Vývoj aplikací pro Android a iOS / Application development for Android and iOS

Vacula, Josef January 2013 (has links)
This thesis covers topic of mobile application development for Android and iOS. It also points out differences between Android and iOS programming. The main goal is to de-scribe the whole process of development which starts by choosing suitable mobile plat-forms and ends by distribution of finished application. The theory is shown on video streaming application. The first part of this thesis covers choosing of suitable platforms for development. Next chapter focuses on different development methods of mobile applica-tions. The rest of thesis is dedicated to Android and iOS development. There is one chapter covering software development kit and one chapter covering mobile user interface - its principles and creation methods. The last theoretical chapter covers fundamentals of each Android and iOS application. The whole development process of sample application is described in the seventh chapter. It includes functional and non-functional application re-quirements, analysis, design of user interface, implementation, testing and distribution of finished application. This thesis is supposed to be jump start for all new developers, who consider mobile application development.

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