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Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming

Author

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  • Pilaiwan Phupattanasilp

    (Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

  • Sheau-Ru Tong

    (Department of Management Information Systems, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

Abstract

Benefitted by the Internet of Things (IoT), visualization capabilities facilitate the improvement of precision farming, especially in dynamic indoor planting. However, conventional IoT data visualization is usually carried out in offsite and textual environments, i.e., text and number, which do not promote a user’s sensorial perception and interaction. This paper introduces the use of augmented reality (AR) as a support to IoT data visualization, called AR-IoT. The AR-IoT system superimposes IoT data directly onto real-world objects and enhances object interaction. As a case study, this system is applied to crop monitoring. Multi-camera, a non-destructive and low-cost imaging platform of the IoT, is connected to the internet and integrated into the system to measure the three-dimensional (3D) coordinates of objects. The relationships among accuracy, object coordinates, augmented information (e.g., virtual objects), and object interaction are investigated. The proposed system shows a great potential to integrate IoT data with AR resolution, which will effectively contribute to updating precision agricultural techniques in an environmentally sustainable manner.

Suggested Citation

  • Pilaiwan Phupattanasilp & Sheau-Ru Tong, 2019. "Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2658-:d:229678
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    References listed on IDEAS

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    1. Byeongki Jeong & Janghyeok Yoon, 2017. "Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information," Sustainability, MDPI, vol. 9(4), pages 1-22, March.
    2. Feng Yang & Kaiyi Wang & Yanyun Han & Zhong Qiao, 2018. "A Cloud-Based Digital Farm Management System for Vegetable Production Process Management and Quality Traceability," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
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    Cited by:

    1. Ana Lavalle & Miguel A. Teruel & Alejandro Maté & Juan Trujillo, 2020. "Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    2. Renda, Andrea & Reynolds, Nicole & Laurer, Moritz & Cohen, Gal, 2019. "Digitising Agrifood: Pathways and Challenges," CEPS Papers 25701, Centre for European Policy Studies.
    3. Alina Simona Tecau & Bianca Tescasiu & Cristinel Petrisor Constantin, 2019. "Integrating Augmented Reality in the Social Media Platforms. The Users’ Perspective," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 442-448.
    4. Agnese Augello & Ignazio Infantino & Giovanni Pilato & Gianpaolo Vitale, 2021. "Site Experience Enhancement and Perspective in Cultural Heritage Fruition—A Survey on New Technologies and Methodologies Based on a “Four-Pillars” Approach," Future Internet, MDPI, vol. 13(4), pages 1-23, April.
    5. Aldona Kluczek & Bartlomiej Gladysz & Krzysztof Ejsmont, 2021. "Application of Lifecycle Measures for an Integrated Method of Environmental Sustainability Assessment of Radio Frequency Identification and Wireless Sensor Networks," Energies, MDPI, vol. 14(10), pages 1-22, May.

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