Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Subject: search.filters.subject.Augmented reality

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  • Article
    Citation - Scopus: 20
    Estrus Detection and Dairy Cow Identification With Cascade Deep Learning for Augmented Reality-Ready Livestock Farming
    (Multidisciplinary Digital Publishing Institute (MDPI), 2023) Arıkan, İ.; Ayav, T.; Seçkin, A.Ç.; Soygazi, F.
    Accurate prediction of the estrus period is crucial for optimizing insemination efficiency and reducing costs in animal husbandry, a vital sector for global food production. Precise estrus period determination is essential to avoid economic losses, such as milk production reductions, delayed calf births, and disqualification from government support. The proposed method integrates estrus period detection with cow identification using augmented reality (AR). It initiates deep learning-based mounting detection, followed by identifying the mounting region of interest (ROI) using YOLOv5. The ROI is then cropped with padding, and cow ID detection is executed using YOLOv5 on the cropped ROI. The system subsequently records the identified cow IDs. The proposed system accurately detects mounting behavior with 99% accuracy, identifies the ROI where mounting occurs with 98% accuracy, and detects the mounting couple with 94% accuracy. The high success of all operations with the proposed system demonstrates its potential contribution to AR and artificial intelligence applications in livestock farming. © 2023 by the authors.
  • Article
    Citation - WoS: 51
    Citation - Scopus: 75
    Augmented Reality Technology Adoption: Case of a Mobile Application in Turkey
    (Elsevier, 2021) Yavuz, Merve; Çorbacıoğlu, Eda; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.; Shaygan, Amir
    With the increasing use of smart devices, augmented reality (AR) technology has become widespread in mobile devices. As with user interaction technologies, there are factors affecting the use of applications in mobile augmented reality (MAR) applications. In this study, the factors affecting the use of mobile augmented reality in Turkey are investigated. Although AR and MAR are generally investigated during the research period, “Augment”, the application, was used in the survey and interview parts of the research study. The interview consists of three different parts in addition to a quantitative experimental study. More than hundred variables were obtained from articles and interviews which 22 of them were selected. The results showed that the two most important factors that influence usage of MAR applications are security and privacy. These two are followed by ease of learning, visual quality of the application 3D model, and ease of use in importance, respectively. It is recommended that designers and application developers consider these five variables when designing or developing a MAR application. © 2021 Elsevier Ltd